Stars
ViViDex implementation under the SAPIEN simulator, ICRA 2025
A generative world for general-purpose robotics & embodied AI learning.
A paper list of my history reading. Robotics, Learning, Vision.
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
A Python package that provides evaluation and visualization tools for the DexYCB dataset
Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and…
Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
[CVPR 2024] 4K4D: Real-Time 4D View Synthesis at 4K Resolution
Real robot interface and utilities for asynchronous real-time deployment.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[RA-L 2023] EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
hongzhengdong / ChatGPT
Forked from lencx/ChatGPT🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields. https://arxiv.org/abs/2210.13641 + Sigma-Fusion: Probabilistic Volumetric Fusion for Dense Monocular SLAM https://arxiv.org/ab…
Source code for the Aligulac project: a statistical tool for the analysis of the SC2 pro and semipro scene.
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
A curated list of awesome 3d generation papers
Official implementation of our NeurIPS paper "Streaming Radiance Fields for 3D Video Synthesis"
Code for "Neural 3D Scene Reconstruction with the Manhattan-world Assumption" CVPR 2022 Oral
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
[ECCV 2020] SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
[CVPR 2021 Oral] Reconstructing 3D Human Pose by Watching Humans in the Mirror
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Instant neural graphics primitives: lightning fast NeRF and more