Awesome 3D AIGC

Overview

A comprehensive collection of research papers and open-source resources focused on 3D AI-Generated Content (AIGC), covering 3D Gaussian splatting, neural rendering, mesh generation, and scene synthesis.

Features

• 3D Gaussian splatting techniques and implementations
• Neural radiance fields (NeRF) and variants
• Text-to-3D generation methods
• Image-to-3D reconstruction
• 3D scene generation and editing
• Texture synthesis and material generation
• Physics-based 3D generation

Key Technologies

3D Gaussian Splatting

• Explicit scene representations
• Real-time rendering capabilities
• Differentiable rendering algorithms
• High-quality novel view synthesis

Text-to-3D

• DreamFusion-style approaches
• Score distillation sampling
• Multi-view diffusion models
• Geometry and texture generation

Image-to-3D

• Single-image 3D reconstruction
• Multi-view stereo with AI
• Depth estimation and 3D lifting

Recent Advances (2025-2026)

• Step1X-3D for scalable 3D generation
• Improved Gaussian splatting techniques
• Real-time 3D generation systems
• Physics-aware 3D synthesis

Applications

• Game asset creation
• Virtual reality content
• Digital twin generation
• Product visualization
• Architectural previsualization

Pricing

Free and open-source research resources.