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This is a repository for GraspXL, which can generate objective-drive grasping motions for 500k+ objects with different dexterous hands.
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Alembic is an open framework for storing and sharing scene data that includes a C++ library, a file format, and client plugins and applications.
Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"
Gaussian Shell Maps for Efficient 3D Human Generation (CVPR 2024)
VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)
A curated set of C++ examples for optimization-based elastodynamic contact simulation using CUDA, emphasizing algorithmic convergence, penetration-free, and inversion-free conditions. Designed for …
Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.
Official PyTorch implementation of "Authentic Hand Avatar from a Phone Scan via Universal Hand Model", CVPR 2024.
Code for Deep Single-image Portrait Image Relighting
Train high-quality text-to-image diffusion models in a data & compute efficient manner
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
[CVPR2024] DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
Geometry-Aware Large Reconstruction Model for Efficient and High-Quality 3D Generation
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)
CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simpl…
Implementation of the SIGGRAPH 2024 conference paper "High-quality Surface Reconstruction using Gaussian Surfels".
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models, a 3D fundamental model for mesh generation