Fast 3D modeling -- 2
Budget: $2 – $8 USD
Project Overview
This project focuses on the research, development, and implementation of a next-generation Fast 3D Modeling Pipeline leveraging generative AI and multi-view reconstruction technologies (such as Stable Fast 3D, NeRF, and 3D Gaussian Splatting). The primary objective is to disrupt the traditional, time-consuming 3D asset creation workflow by transforming 2D text prompts or single/multi-view images into engine-ready 3D assets within seconds, drastically reducing production costs and accelerating time-to-market for digital content.
Key Objectives
Drastic Time Reduction: Accelerate the 3D asset generation cycle from days/hours to seconds/minutes per model.
Automated Topology & Texturing: Implement automated workflows for mesh generation, UV unwrapping, and PBR (Physically Based Rendering) texture mapping.
Engine Compatibility: Ensure generated assets seamlessly integrate into mainstream real-time engines like Unreal Engine 5 (UE5) and Unity.
Scalability: Build a high-throughput asset pipeline capable of generating thousands of high-quality background props and environment assets for large-scale virtual worlds.
Technical Stack & Tools
AI & Generative Models: Stable Fast 3D, Tripo3D, Meshy, LGM (Large Multi-View Gaussian Model), ComfyUI (for image pre-processing).
Traditional 3D Software: Blender, Autodesk Maya (for post-editing, decimation, and formatting).
Texturing & Baking: Adobe Substance 3D Painter (for texture refinement), Delighting algorithms.
Target Platforms: Unreal Engine 5, Unity, WebGL / Three.js.
File Formats: .glb, .fbx, .obj, .usd.
This project focuses on the research, development, and implementation of a next-generation Fast 3D Modeling Pipeline leveraging generative AI and multi-view reconstruction technologies (such as Stable Fast 3D, NeRF, and 3D Gaussian Splatting). The primary objective is to disrupt the traditional, time-consuming 3D asset creation workflow by transforming 2D text prompts or single/multi-view images into engine-ready 3D assets within seconds, drastically reducing production costs and accelerating time-to-market for digital content.
Key Objectives
Drastic Time Reduction: Accelerate the 3D asset generation cycle from days/hours to seconds/minutes per model.
Automated Topology & Texturing: Implement automated workflows for mesh generation, UV unwrapping, and PBR (Physically Based Rendering) texture mapping.
Engine Compatibility: Ensure generated assets seamlessly integrate into mainstream real-time engines like Unreal Engine 5 (UE5) and Unity.
Scalability: Build a high-throughput asset pipeline capable of generating thousands of high-quality background props and environment assets for large-scale virtual worlds.
Technical Stack & Tools
AI & Generative Models: Stable Fast 3D, Tripo3D, Meshy, LGM (Large Multi-View Gaussian Model), ComfyUI (for image pre-processing).
Traditional 3D Software: Blender, Autodesk Maya (for post-editing, decimation, and formatting).
Texturing & Baking: Adobe Substance 3D Painter (for texture refinement), Delighting algorithms.
Target Platforms: Unreal Engine 5, Unity, WebGL / Three.js.
File Formats: .glb, .fbx, .obj, .usd.