Stars
A Data Streaming Library for Efficient Neural Network Training
[CVPR 2024] IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
Official code for arxiv paper LRM-Zero: Training Large Reconstruction Models with Synthesized Data
Official code for "Neural Gaffer: Relighting Any Object via Diffusion"
Tips for Writing a Research Paper using LaTeX
Official Code Release for [SIGGRAPH 2024] DilightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets
[ECCV'24] GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models, a no lighting baked texture generative model
ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model, a unified and user-friendly shape-language model
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
[NeurIPS 2023] Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
Official implementation of `AToM: Amortized Text-to-Mesh using 2D Diffusion`
An interface for text-guided mesh refinement.
Official code repository for the paper: “Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions”
An open-source impl. of Large Reconstruction Models
Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch
Official code for ECCV 2024 paper: Learn to Optimize Denoising Scores A Unified and Improved Diffusion Prior for 3D Generation