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AI-Powered Workflows in 3D Graphics: Tools and Insights for 3ds Max Users

Introduction

Artificial Intelligence (AI) has become a transformative force in the field of 3D graphics, revolutionizing how artists and professionals approach modeling, texturing, rendering, and animation. Beyond mere automation, AI tools empower creators to move beyond repetitive tasks, focusing instead on innovation and artistry.

This technological shift is evident across industries such as gaming, architecture, animation, and product design, where efficiency and creative potential have reached unprecedented levels. For example, AI algorithms can interpret rough sketches and transform them into fully realized 3D models. Similarly, real-time lighting simulations, photorealistic material creation, and AI-driven denoisers are reshaping how projects are conceptualized and executed.

This article explores the practical integration of AI tools in the world of 3D graphics. Through real-world examples and workflow breakdowns, you’ll discover how professionals are leveraging AI to overcome traditional challenges, streamline complex tasks, and unlock new creative possibilities.

AI-Enhanced Workflows in 3D Graphics

The integration of Artificial Intelligence into 3D graphics workflows represents a fundamental shift in how projects are conceived, executed, and delivered. AI tools are reshaping traditional processes by automating complex tasks, predicting outcomes, and enhancing creative control. Below are key examples that highlight how AI is transforming workflows across different stages of 3D production:

AI-Assisted Modeling and Asset Creation

Instead of manually building intricate assets, AI tools enable artists to generate 3D models directly from text prompts or reference images. For example, an artist can input a description like “futuristic skyscraper with reflective glass surfaces,” and the AI generates a base model ready for refinement. This accelerates the prototyping phase, freeing artists to focus on creative decisions rather than repetitive modeling tasks.

Procedural Animation with AI

AI algorithms are revolutionizing animation workflows, particularly in crowd simulations and character rigging. Tools like Cascadeur predict natural movement patterns and allow animators to fine-tune physics-driven motions with minimal manual adjustments. This approach ensures high-quality animations while significantly reducing time investment.

Intelligent Scene Optimization

Managing large-scale scenes can be challenging, especially with high-polygon assets. AI-powered plugins analyze scene complexity, identify geometry inefficiencies, and optimize polygon counts. This results in improved viewport responsiveness and smoother workflows, particularly in architectural visualizations and large animation projects.

AI-Driven Texturing and Material Creation

AI tools now offer advanced texturing capabilities, enabling artists to create hyper-detailed materials with accurate environmental interactions. These tools streamline UV mapping and texture application, resulting in more lifelike and visually rich 3D assets.

Smart Rendering Solutions

Rendering engines now integrate AI-driven denoisers to cut down render times while maintaining exceptional image quality, even with low-sample renders. This advancement not only reduces production time but also allows for iterative adjustments, fostering experimentation and refinement in the final output.

Incorporating these AI-enhanced workflows not only saves time but also unlocks opportunities for iterative design, encouraging artists to push creative boundaries and explore new horizons in 3D graphics production.

Real-World Use Cases of AI and 3ds Max in the 3D Graphics Industry

Simplifying Complex Modeling

Zaha Hadid Architects (ZHA) leverages generative AI tools like Midjourney and Gendo to rapidly create multiple design options. These AI-generated base models are then refined using 3ds Max, reducing rendering times by up to 80%.

This approach enables designers to focus on intricate artistic details while AI handles repetitive modeling tasks. As a result, ZHA achieves accelerated design processes, improved creativity, and a competitive edge in project acquisition.
Source: dezeen

Scene Optimization for Architecture

Woods Bagot integrates NVIDIA’s Omniverse platform with 3ds Max to enhance real-time collaboration and streamline scene optimization. This setup facilitates architectural simulations with seamless updates across different tools, reducing manual synchronization errors and saving valuable time.
The result is faster design iterations, improved project outcomes, and greater client satisfaction through an integrated and collaborative workflow.
Source: NVIDIA

Fast and Realistic Animation

Independent animation studios increasingly adopt AI-assisted tools like Cascadeur to automate rigging and refine motion adjustments. Animators use Cascadeur to generate physics-driven keyframes, refine them in 3ds Max, and then export them to engines like Unreal Engine.
This hybrid approach significantly reduces manual animation workloads while maintaining high-quality results, empowering artists to focus on the creative aspects of their work.
Source: Cascadeur

Reducing Render Times

Visualization artists are utilizing AI-powered rendering tools integrated with 3ds Max to expedite rendering during schematic design phases. Plugins like TyFlow’s tyDiffusion leverage AI to optimize rendering tasks, enabling rapid visual feedback and reduced computational overhead.
This workflow not only meets tight deadlines but also encourages creative experimentation without compromising image quality.
Source: TyFlow

Creating Photorealistic Materials

Platforms like D5 Render employ AI to convert photographs into highly detailed materials. These AI-generated materials are then applied in 3ds Max to produce photorealistic visualizations across industries such as gaming and architecture.
This streamlined process enhances visual fidelity, minimizes manual texturing effort, and accelerates material creation workflows.
Source: D5 Render

These real-world examples highlight how AI, in tandem with 3ds Max, is transforming design pipelines across diverse fields. From architectural marvels to intricate animations, AI tools are redefining what’s possible in the world of 3D graphics.

3D Modeling and Asset Creation

3D modeling is the cornerstone of digital content creation, and AI is revolutionizing this process by simplifying complex workflows and enhancing creative control. With the ability to generate intricate models from simple prompts or images, AI-powered tools empower artists to focus on design rather than repetitive manual tasks. This section introduces key tools that are redefining how 3D assets are conceptualized and produced.

  • 3DFY.ai
    AI-powered platform designed for 3D professionals to generate high-quality 3D models directly from images or textual descriptions. It leverages advanced algorithms to automate the modeling process, enabling rapid prototyping and asset creation for games, animations, and visualizations. Ideal for streamlining workflows, it delivers detailed and customizable models with minimal effort.
  • Polycam
    A versatile 3D capture tool that allows professionals to create detailed 3D models and environments using photos or LiDAR scans from mobile devices. It simplifies photogrammetry workflows, producing high-quality, shareable models for use in gaming, visualization, and design. Ideal for rapid asset creation, it’s a powerful tool for creative and technical applications.
  • Luma AI
    Cutting-edge platform for 3D professionals that uses AI and photogrammetry to transform photos or videos into detailed 3D models and scenes. It enables the creation of photorealistic assets and environments with minimal effort, making it ideal for gaming, VFX, and architectural visualization. Its powerful tools simplify complex workflows while delivering high-quality results.
  • GET3D
    GET3D by NVIDIA is an AI-powered research project that generates high-quality, textured 3D models from random noise, optimized for 3D professionals. It uses generative adversarial networks (GANs) to create diverse assets like characters, vehicles, and buildings with clean topology and rich textures. Ideal for gaming, simulation, and virtual environments, it accelerates content creation for creative workflows.

Animation and Motion Capture

Animation has always been a labor-intensive process, requiring meticulous attention to detail and significant time investment. AI is changing the game by automating tasks like rigging, motion capture, and keyframe animation, while maintaining creative control. In this section, we’ll explore tools that simplify complex animation workflows, enabling artists to create lifelike movements and dynamic scenes with unprecedented efficiency.

  • DeepMotion
    Specializes in creating high-quality motion animations from video input, making it an essential tool for character rigging and real-time production workflows. Its advanced capabilities streamline the animation process, allowing professionals to achieve lifelike movements efficiently.
  • Cascadeur
    AI-assisted keyframe animation software that enables artists to create realistic character animations without relying on traditional motion capture. Its physics-based approach allows for intuitive animation creation, making it particularly effective for action scenes and complex character movements.
  • RADiCAL
    Leverages AI for advanced motion tracking and animation generation, providing professionals with a powerful alternative to conventional motion capture setups. This tool enhances workflow efficiency and allows for high-quality animations using video references.
  • Rokoko Video
    Offers real-time motion capture from 2D videos, enabling animators to quickly produce realistic movements for 3D characters. This tool is particularly useful in professional environments where rapid iteration and prototyping are necessary.
  • Kinetix
    Transforms video footage into animated 3D characters, streamlining the previsualization process for professionals in various industries. Its ability to quickly generate animations from existing footage makes it a valuable asset for studios looking to enhance their production efficiency.

Virtual Worlds and Environment Building

Creating expansive and immersive virtual environments has traditionally been a resource-heavy task. AI tools are now streamlining this process, allowing artists to generate large-scale virtual worlds with intricate details faster and more efficiently. This section highlights tools that empower creators to design dynamic and visually rich environments, bridging the gap between imagination and execution.

  • Project Scenic
    Introduced at Adobe MAX 2024, is an experimental tool that allows users to generate 2D images by creating and editing 3D scene layouts through text prompts. It enables precise control over object placement and camera angles, simplifying the design process and reducing trial-and-error. While still in the research phase, it hints at future integration into Adobe’s creative tools.
  • World Labs:
    Develops Large World Models (LWMs), leveraging AI to generate and interact with detailed 3D environments from minimal inputs like text descriptions or single images. Its technology focuses on spatial intelligence and simulation, enabling the creation of complex virtual worlds suitable for gaming, virtual production, and interactive applications. The platform emphasizes efficiency and flexibility, allowing professionals to build and refine highly detailed environments for real-time and pre-rendered workflows.
  • Lumalabs:
    Luma Labs’ Dream Machine is an AI-driven tool that generates high-quality, realistic videos from text and image prompts. It enables the rapid creation of dynamic virtual environments, capturing smooth motion and consistent character interactions. This technology is particularly beneficial for professionals in the 3D graphics industry, facilitating efficient development of immersive content for applications such as gaming, virtual production, and interactive media.

Creation of Materials, Textures, and Unwrapping

Materials and textures play a crucial role in achieving realism and visual quality in 3D projects. AI-powered tools simplify UV mapping, texture generation, and material application, allowing artists to create highly detailed and physically accurate surfaces with minimal manual intervention. This section explores AI tools that redefine how materials are crafted and integrated into 3D workflows.

  • Substance 3D Sampler
    Allows artists to transform real-world photographs into seamless, high-quality materials suitable for PBR (Physically Based Rendering) workflows. It provides extensive control over texture properties, enabling professionals to create realistic surfaces that enhance the visual quality of their projects. This tool is essential for those who demand precision and creativity in material design.
  • Quixel Mixer
    This is a powerful tool that merges scanned textures with procedural techniques, offering artists the ability to craft highly customizable and detailed materials. Ideal for architectural visualization and cinematic scenes, it enables professionals to integrate realistic elements seamlessly into their projects. Its user-friendly interface combined with advanced capabilities makes it a favorite among industry experts.
  • ArmorLab
    AI-driven software for creating PBR (Physically-Based Rendering) textures from images, tailored for 3D artists and professionals. It streamlines texture creation by allowing users to generate seamless maps like diffuse, normal, roughness, and more, directly from reference images, eliminating the need for complex workflows. Its intuitive interface and efficient automation make it an excellent tool for enhancing materials in 3D projects, especially for game development and visualization.
  • Polycam
    Specializes in capturing high-quality textures from real-world objects using photogrammetry techniques. This tool enables professionals to create unique materials that can be used in game assets or architectural visualizations, providing a level of detail that enhances realism. Its ability to convert physical textures into digital formats makes it an essential resource for artists looking to push the boundaries of their work.

Rendering

Rendering remains one of the most resource-intensive stages of 3D production. AI-driven rendering tools are addressing this challenge by reducing render times, optimizing resource allocation, and enhancing image quality. This section delves into tools that combine speed, efficiency, and precision to deliver exceptional rendering results, even under tight deadlines.

  • V-Ray AI Denoiser
    Advanced tool that significantly reduces noise in rendered images, enhancing the overall quality while cutting down rendering times by up to 50%. It operates on existing render elements, allowing for adjustments without the need for re-rendering, which is crucial for professionals who require efficiency in their workflows. This tool integrates seamlessly with various 3D applications, making it a favorite among visual effects artists and architects.
  • OctaneRender AI
    A powerful GPU-based rendering engine that utilizes artificial intelligence to accelerate ray tracing processes, resulting in faster and more photorealistic renders. Professionals in the visual effects and animation industries benefit from its high-quality output and real-time rendering capabilities, which are essential for creating intricate scenes and animations. Its compatibility with multiple 3D software packages further solidifies its position as a professional-grade tool.
  • NVIDIA Omniverse
    A collaborative platform for 3D professionals, enabling seamless real-time collaboration and simulation across industries. Built on Universal Scene Description (USD), it connects tools like 3ds Max, Maya, and Unreal Engine, streamlining workflows for design, animation, and visualization. With AI-powered tools and photorealistic rendering, it empowers creators to build, iterate, and innovate faster.

Postproduction and Visual Enhancement

Postproduction is the final step where visuals are polished and refined, and AI is playing a transformative role in this stage. From noise reduction and color grading to object removal, AI tools simplify complex editing tasks, enabling artists to focus on delivering cinematic-quality results. This section showcases how AI-driven postproduction tools elevate the final output of 3D projects.

  • Topaz Video Enhance AI
    Designed for enhancing rendered videos, Topaz Video Enhance AI employs advanced algorithms to upscale video resolution and reduce noise. This tool is ideal for professionals seeking to produce cinematic-quality results, making it a valuable asset in postproduction workflows where detail and clarity are paramount.
  • Runway AI
    Offers a comprehensive suite of AI-powered tools tailored for video editing and postproduction. Its capabilities include object removal and color correction, which can significantly streamline the editing process for professionals. This tool is particularly useful for those in the film and animation industries who require efficient and high-quality video enhancements.
  • DaVinci Resolve AI
    Integrates advanced AI tools into its professional-grade video editing, color grading, and post-production suite. Features like smart object removal, scene detection, and AI-assisted color matching streamline workflows for editors and VFX artists. Ideal for crafting high-quality visuals, it enhances precision and creativity while saving time on complex tasks.
  • Adobe Premiere Pro
    A powerful video editing software that features advanced AI-driven tools ideal for 3D graphics professionals. Its capabilities include Smart Masking for precise object tracking, Generative Extend for adding frames, and Object Removal for seamless edits. Additionally, the Enhance Speech tool improves dialogue quality, while text-based editing streamlines navigation and editing of lengthy content, optimizing the post-production workflow.
  • Wonder Studio
    Innovative AI-powered tool designed to automate the animation, lighting, and compositing of CG characters into live-action scenes. By processing single-camera footage, it can detect actor movements and automatically animate corresponding 3D characters, significantly reducing the time and resources typically required for VFX production. This makes it an invaluable asset for professionals in the film and gaming industries looking to streamline their workflows while maintaining high-quality outputs.

Interior and Architectural Design

In the field of architectural visualization and interior design, AI tools are revolutionizing how spaces are conceptualized, optimized, and presented. These tools enable rapid exploration of design options, efficient layout generation, and photorealistic visualizations. This section highlights AI solutions that are empowering architects and designers to deliver impactful and functional designs with precision and speed.

  • InteriorAI
    AI-powered tool for interior design professionals and enthusiasts, enabling quick visualization and redesign of spaces from photos. It generates realistic design concepts across various styles, making it ideal for planning, presenting, or exploring creative ideas. With its intuitive interface, it simplifies the design process and enhances creativity.
  • Decor8 AI
    Offers AI-powered layout and interior design suggestions tailored for architects and designers. This tool enables rapid exploration of various design concepts, allowing professionals to iterate quickly and efficiently. By leveraging AI to optimize design layouts, Decor8 AI enhances creativity and productivity in the architectural design process.
  • Autodesk Forma
    BIM software powered by AI, designed for architects and urban planners to optimize early-stage design workflows. It offers tools to analyze environmental factors, energy performance, and site conditions, enabling data-driven decision-making. Ideal for sustainable and efficient projects, it streamlines conceptual planning and enhances outcomes.

AI-Powered Plugins for 3ds Max

While 3ds Max is already a powerful tool, its capabilities are further extended through AI-powered plugins. These plugins optimize processes such as procedural modeling, texturing, and rendering, providing smarter workflows and faster results. This section introduces key AI plugins designed to seamlessly integrate with 3ds Max, enhancing productivity and creative flexibility.

  • TyFlow
    A powerful plugin for 3ds Max that enables artists and animators to create intricate particle simulations and visual effects. The recent addition of the tyDiffusion module integrates AI capabilities using Stable Diffusion, allowing users to generate high-quality images and animations that are contextually aware of the 3D scene. This feature enhances creative control by enabling artists to direct the AI in generating textures and visual elements that seamlessly fit their designs, significantly streamlining the artistic workflow.
  • Anima
    Specializes in crowd simulation and intelligent character placement. This plugin employs AI algorithms to populate large architectural scenes with animated characters that move and interact realistically. By analyzing the environment and context, Anima intelligently places characters in a way that enhances the scene’s believability, saving time for artists who would otherwise need to manually animate each character.
  • Substance 3D Plugin
    Integrates AI-assisted material generation and pattern recognition into 3ds Max. This tool allows users to create seamless textures efficiently by leveraging AI to analyze existing materials and generate new ones based on user-defined parameters. The result is a streamlined workflow for texture application that enhances both creativity and productivity.
  • V-Ray, Corona Renderer, Chaos Vantage
    These tools feature AI-powered noise reduction that enhances image quality while minimizing computational resources. Using machine learning algorithms, they efficiently reduce noise artifacts, delivering cleaner outputs with fewer samples. V-Ray and Corona excel in both final renders and previews, ideal for architectural and product visualization, while Chaos Vantage focuses on real-time rendering for smooth, interactive scene exploration.
  • Phoenix FD
    A fluid dynamics simulation plugin enhanced with AI capabilities for smoke and fire simulations. The AI optimizes calculations related to fluid behavior, allowing for more lifelike effects while reducing computational load. This results in faster simulations without sacrificing quality, making Phoenix FD a go-to solution for artists looking to create realistic environmental effects.
  • NVIDIA OptiX Denoiser
    The NVIDIA OptiX Denoiser is an AI-powered denoising solution integrated into the NVIDIA OptiX ray tracing engine and supported in 3ds Max through its Arnold and V-Ray renderers. It leverages neural networks to remove noise from rendered images in real-time, enabling faster previews and high-quality outputs. This makes it a valuable tool for 3ds Max users, enhancing productivity in workflows like visualization, animation, and VFX.

Conclusion

The rise of Artificial Intelligence in 3D graphics has redefined not only technical workflows but also the creative boundaries of digital design. From automating asset creation and refining procedural animation to optimizing rendering and streamlining postproduction, AI has embedded itself into nearly every stage of the creative process.

Far from replacing human creativity, AI tools serve as powerful allies, empowering artists and designers to focus on innovation rather than repetitive tasks. Professionals who embrace these tools are not merely adapting to industry trends—they are actively shaping the future of 3D graphics.

As AI technologies continue to advance, the synergy between human intuition and machine intelligence will only grow stronger. Whether you’re crafting an architectural masterpiece, animating complex character movements, or designing immersive virtual worlds, AI is now an indispensable companion in achieving excellence and pushing the limits of what’s possible.

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Updated Insights into 3D Gaussian Splatting Techniques for Real-Time Rendering

3D Gaussian Splatting for Real-time Rendering

Introduction

The 3D graphics industry is experiencing a transformation thanks to groundbreaking techniques like 3D Gaussian Splatting (3DGS). Traditionally, creating highly realistic 3D scenes demanded extensive computing resources and required powerful hardware for real-time rendering, limiting access for many artists and developers. However, 3DGS represents an innovative shift, utilizing translucent ellipsoids (“Gaussian splats”) to efficiently represent objects and scenes, allowing for real-time rendering with photorealistic quality.

This article will guide you through the basics of Gaussian Splatting, explore the technical processes involved, and examine its integration in today’s leading software.

What is 3D Gaussian Splatting?

Unlike traditional 3D models based on polygons, 3D Gaussian Splatting represents scenes as clouds of ellipsoids, each known as a “Gaussian splat.” These splats are tiny, semi-transparent 3D objects with properties such as position, color, size, and opacity. By layering these splats together, 3DGS recreates lifelike visuals from any angle, and its unique approach enables high-quality rendering without the computational demands of detailed polygon meshes or complex neural networks.

In practice, this means that 3DGS can render images and animations with a photorealistic quality at speeds suited for interactive applications, from virtual reality (VR) environments to augmented reality (AR) simulations.

3D Gaussian Splatting
3D gaussian splatting - bicycle

How Does It Work?

Creating a scene with 3D Gaussian Splatting involves a series of sophisticated steps, integrating various machine learning techniques and optimization algorithms to ensure that rendered scenes are accurate and visually coherent.

  1. Structure from Motion (SfM): This technique is similar to photogrammetry where multiple images of a scene are captured from different angles to generate a 3D point cloud using software like COLMAP.
  2. Gaussian Transformation: Each point in this cloud is converted into a Gaussian splat with defined parameters.
  3. Differentiable Rasterization: The splats are projected onto a 2D plane for rendering, mimicking how a camera perceives them.
  4. Optimization: Techniques like Stochastic Gradient Descent (SGD) are used to refine the accuracy of the splats.

This structured approach allows 3D Gaussian Splatting to represent complex scenes with lifelike depth, colors, and transparency, while keeping computational demands relatively low.

Here’s a video about 3D Gaussian Splatting from SIGGRAPH 2023:

Benefits and Limitations of 3D Gaussian Splatting

Key Benefits:

  • Efficiency: Requires less storage and processing power compared to dense polygon meshes.
  • Realism: Replicates complex lighting effects, including reflections and depth, with a high degree of accuracy.
  • Speed: Suited for real-time rendering, making it ideal for VR and AR applications.
  • Scalability: Efficiently manages large scenes without sacrificing performance.

Challenges and Limitations:

  • Memory Requirements: While optimized, large-scale scenes can still demand substantial memory resources.
  • Fine Detail Representation: Ultra-fine details may not be captured as precisely as traditional models.
  • Editing Limitations: Adjusting and manipulating Gaussian splat models is less flexible than editing standard 3D models with polygons.

3D Temporal Gaussian Splatting: Extending to Dynamic Scenes

An exciting extension of 3D Gaussian Splatting is 3D Temporal Gaussian Splatting (3DTGS), which incorporates a time component to handle dynamic scenes. This allows for the real-time rendering of high-resolution, dynamic environments. 3DTGS represents motion by modeling shape and position deformations across different timestamps, using a predictive framework to track the movement of each splat.

The technique is sometimes referred to as 4D Gaussian splatting, although most implementations still use 3D Gaussian primitives, simply adding time as a parameter for optimization. Achievements of this approach include the ability to maintain high rendering quality even as dynamic scenes evolve in real time, showcasing potential applications in film, autonomous driving simulations, and other media.

Applications of 3D Gaussian Splatting

3D Gaussian Splatting has been successfully adapted across various domains in computer vision and graphics. The technique’s flexibility allows it to be used for a wide range of applications, from dynamic scene rendering to autonomous driving simulations and even 4D content creation.

  • Text-to-3D using Gaussian Splatting: This application uses 3DGS to convert text descriptions directly into 3D models, making it a powerful tool for rapid 3D creation from textual input.
  • Autonomous Driving Simulations: 3DGS is used to generate realistic, novel views of a scene for autonomous driving, improving the simulation of sensor data for vehicle systems.
  • SuGaR: This method allows for the rapid extraction of precise meshes from 3D Gaussian splats, aiding in the conversion of splat-based representations into mesh-based ones for further manipulation.
  • SplaTAM: A technique applying 3D Gaussian-based radiance fields to Simultaneous Localization and Mapping (SLAM), which enhances real-time environment mapping with high optimization capabilities.
  • 4D Content Creation: 3DGS is also used to generate 4D content, enabling the creation of time-varying 3D models, ideal for animation and simulation purposes.

These applications demonstrate the broad potential of 3D Gaussian Splatting in transforming how we create and interact with dynamic 3D environments.

3D Gaussian Splatting in Modern Tools

With its growing popularity, 3D Gaussian Splatting has been incorporated into a range of software solutions, each leveraging the method’s benefits for various types of projects. Below are several key applications:

1. NVIDIA NeRF (Neural Radiance Fields)

NVIDIA’s Instant NeRF is a well-known application of 3DGS principles. NeRFs use neural networks to render complex environments from multiple images, capturing intricate lighting and textures. NVIDIA’s solution enables real-time rendering, which is especially useful for VR and AR applications, where high realism and fast processing are paramount.

Advantages: Optimized for immersive applications; effective for creating volumetric captures that interact well with lighting and motion.

2. Luma AI and Polycam

Luma AI and Polycam have integrated 3D Gaussian Splatting into their platforms, providing accessible ways to capture and render 3D models. Luma AI focuses on high-quality model creation through a web-based interface, while Polycam allows users to capture environments and create models using mobile devices. These tools open up 3DGS to a broader audience, from beginner 3D artists to professionals seeking quick scene representations.

Advantages: User-friendly interfaces for model creation; supports web-based, high-quality 3D visualizations.

3. Nerfstudio

Nerfstudio is an open-source toolkit for advanced users interested in creating, visualizing, and training 3DGS models. Offering command-line controls and extensive customization options, it allows technical users to experiment with and refine their Gaussian splatting models. Nerfstudio is highly flexible and suited for users comfortable with coding and experimenting.

Advantages: Open-source with high customizability; ideal for researchers and developers seeking a customizable, advanced platform.

4. PlayCanvas and Gauzilla

For those aiming to integrate 3DGS in web applications, PlayCanvas (through SuperSplat) and Gauzilla offer convenient tools. PlayCanvas, a web-based rendering engine, supports Gaussian splats with real-time performance in browsers, while Gauzilla, written in Rust, uses WebAssembly for smooth browser-based rendering.

Advantages: Optimized for web-based rendering; allows for interactive applications directly in web browsers.

5. V-Ray 7

As the first commercial ray tracer to support 3D Gaussian Splatting, V-Ray 7 integrates 3DGS directly with its powerful ray-tracing capabilities. Artists and designers using V-Ray 7 can place Gaussian splats in real-world environments, blending them with 3D models for highly realistic, dynamic compositions. V-Ray is particularly valuable in film, animation, and design fields, where achieving photorealism is critical.

Advantages: Photorealistic integration with ray tracing; ideal for high-end production environments needing realistic visuals.

6. Unreal Engine

Unreal Engine has started exploring the use of 3D Gaussian Splatting, though native integration remains limited and experimental. Currently, the engine allows for Gaussian Splatting through custom techniques and adaptations, often relying on external scripts or community-developed shaders. While Epic Games has not yet released official support, there are plugins and tools in development that let interested users experiment with this technology, particularly for projects that require advanced optimization of complex scenes and real-time visualization.

Advantages: Faster rendering speeds and efficient handling of highly detailed scenes.

The Future of 3D Gaussian Splatting

3D Gaussian Splatting is still developing, and improvements are underway to enhance its rendering quality, versatility, and accessibility. Expected advancements include GPU compatibility, shadow rendering support, and additional rendering options for high-quality photorealism. As more software begins to integrate 3DGS, it will likely become a foundational technology in 3D graphics, supporting use cases across film, virtual and augmented reality, simulations, and beyond.

Conclusion

3D Gaussian Splatting offers an innovative approach to 3D rendering, merging quality with efficiency. This makes it an exciting development for anyone interested in creating immersive, interactive digital worlds. With its increasing presence in leading platforms and applications, 3DGS is transforming workflows in industries that demand high-quality visuals and quick rendering times.

For 3D artists, designers, and developers, the time to explore 3D Gaussian Splatting is now. This method opens up new possibilities for creating, experiencing, and interacting with digital scenes in ways previously considered out of reach.

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“Ballerina”. A personal challenge to try 3dsMax + UE5 workflow for quick photorealistic rendering

Ballerina animation - 3ds Max - Unreal Engine

Hello, everyone! Today, I want to share an exciting project where I tested a new workflow using 3ds Max and Unreal Engine. After years of handling every part of production in 3ds Max—from modeling, materials, and lighting to final rendering—I was eager to explore Unreal Engine as a tool for shading, lighting, and rendering. My goal? To speed up my workflow and create photorealistic animations faster than ever. Here’s how the experiment went, step-by-step, and what I discovered along the way.

Project Idea: A Stone Sculpture Ballet Dancer in Nature

For this test, I wanted a small but impactful project that could showcase the capabilities of Unreal Engine 5 for photorealistic rendering in a 3ds Max-based workflow. I envisioned a scene featuring a ballerina sculpted entirely from stones, surrounded by a sunny, natural environment. The camera would move around the sculpture in a gentle spiral, gradually revealing the dancer’s form to the viewer. I wanted to capture ambient sound, subtle musical elements, and finish the entire project within a set timeframe. Here’s how it went down!

Step-by-Step Workflow

Step 1: Learning Unreal Engine Basics

I started by taking an excellent free course on UE5 filmmaking. My goal was to get a solid understanding of Unreal’s photorealistic rendering, material, and lighting capabilities. This foundation was essential to maximize Unreal’s features in my workflow.

Step 2: Writing the Animation Script

Next, I wrote a simple script for the animation (similar to the description above) to keep everything organized. Instead of adding complex animation to the subject, I decided to focus on camera movement around the sculpture to keep the project manageable and stay focused on the new workflow—3ds Max for modeling and animation, and Unreal for shading, lighting, and rendering.

Step 3: Gathering Resources for Modeling the Sculpture

For the dancer model, I used Mixamo to find a 3D mannequin in a ballet pose. I also sourced high-quality photorealistic PBR stone models from Sketchfab to use as the building blocks for the sculpture.

Step 4: Constructing the Stone Sculpture in 3ds Max with TyFlow

To build the sculpture, I used the mannequin from Mixamo as a container, essentially like a mold for placing the stones. I needed a way to “fill” this form with stones, so I turned to TyFlow, a particle simulation plugin for 3ds Max. TyFlow allowed me to quickly set up the stone arrangement to follow the form of the dancer, giving it an organic, lifelike look. I learned the basics from a simple tutorial, which was enough to achieve the effect I wanted.

Step 5: Camera Animation with Spiros in 3ds Max

Creating a complex, spiral camera motion around the sculpture was key to this animation. I wanted full control over the distance and movement of the camera, so I used my own Spiros plugin for 3ds Max. Spiros let me create a logarithmic spiral path for the camera with the exact flexibility and control I needed. I then applied a “path constraint” to the camera and animated both the camera and its target. I also adjusted the animation’s timing and pace to sync well with ballet music, adding to the fluidity of the final result.

Ballerina stone sculpture animation 3ds Max and Spiros plugin

Step 6: Exporting Models and Camera to Unreal Engine

With the model and animation ready, it was time to export to Unreal Engine. I first exported the dancer model as an FBX and imported it into Unreal, where the PBR stone textures needed minimal adjustment—they already looked great. For the camera, I used the tutorial “How to Transfer 3ds Max Animated Camera to Unreal Engine 5” along with the “Unreal Engine 4 – Camera Animation Exporter” script. This combo allowed me to successfully export and integrate the camera animation into Unreal.

Step 7: Setting Up the Scene in Unreal with Quixel Bridge and Polyhaven

In Unreal, I found a stone pedestal model in Quixel Bridge that worked perfectly for the dancer’s base. For the background, I chose a high-resolution park HDRI from Polyhaven. The HDRI provided realistic global lighting and created a natural environment that made the sculpture feel truly embedded in its surroundings. I experimented with a few different HDRIs and settings until I was satisfied with the look.

Step 8: Visual Effects and Final Render in Unreal Engine

I then added some visual effects to the camera in Unreal Engine: autofocus on the tracked actor, bloom, lens flare, and motion blur—all of which contributed to a polished, cinematic feel. After a quick test render, I moved on to the final render. Unreal’s rendering speed was astonishing, completing the 705 frames of animation (1920×823 resolution) in just 50 seconds. The quality and efficiency of Unreal’s renderer completely exceeded my expectations.

Step 9: Post-Production in After Effects

Finally, I added sound effects and music in After Effects for the finishing touches. Ambient sounds of birds, soft ballet music, and some brief closing credits completed the piece.

Ballerina animation - 3dsMax - TyFlow - Unreal Engine

Final Thoughts: Is This Hybrid Workflow Worth It?

This project showed me that a 3ds Max + Unreal Engine workflow is not only feasible but also highly efficient for photorealistic animation. Unreal provided the speed and quality I was hoping for in a renderer, making it an excellent option for projects with tight deadlines. I’ll definitely keep exploring this hybrid approach for future work!

If you’re thinking about using Unreal for rendering in a 3ds Max pipeline, give it a shot! You might just be amazed at the results.

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