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Starred repositories
Implementation of GateLoop Transformer in Pytorch and Jax
[SIGGRAPH 2025] PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer
Code for the paper "Sharpening and Sparsifying with Surface Hessians", accepted at SIGGRAPH Asia 2024.
A part-based 3D generation framework & the largest and most comprehensively annotated 3D part dataset.
[NeurIPS 2023] Official implementation of SyncDiffusion
Official implementation of Occupancy-Based Dual Contouring (SIGGRAPH Asia 2024).
[3DV 2024] official repo of 3DV paper "RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation"
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Code for "EgoX: Egocentric Video Generation from a Single Exocentric Video"
Official repository of paper "UNIC: Neural Garment Deformation Field for Real-time Clothed Character Animation".
[SIGGRAPH 2025] Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
[CVPR 2024] Official Implementation of the paper "CAGE: Controllable Articulation GEneration"
Unifying 3D Mesh Generation with Language Models
[CVPR 2025 Oral] PyTorch re-implementation for Autoregressive Distillation of Diffusion Transformers (ARD).
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
Codebase for the experiments in Automated Surface Extraction: Adaptive Remeshing Meets Lagrangian Shrink-Wrapping.
CoPart (ICCV 2025): A part-based 3D generation framework & the first large-scale part-level 3D dataset.
👩💻 Matrix and other math, accelerated by WebGPU and WASM
A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。| 基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。
A fast and high quality GPU BVH builder implementing H-PLOC
High-Fidelity Lightweight Mesh Reconstruction from Point Clouds (CVPR 2025 Highlight)
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022