- ByteDance
- Shenzhen
- https://nicholasli1995.github.io/
- in/shichao-li-63a97415a
Stars
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Graph Neural Network Library for PyTorch
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
🔥 2D and 3D Face alignment library build using pytorch
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
The devkit of the nuScenes dataset.
A python module for scientific analysis of 3D data based on VTK and Numpy
A library for differentiable nonlinear optimization
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021
Pyramid Stereo Matching Network (CVPR2018)
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.
3D visualization of scientific data in Python
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
Python tools for working with KITTI data.
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
Tooling for the Common Objects In 3D dataset.
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
improves over nerf in 360 capture of unbounded scenes
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE;PLUME Uber ATG

