- All languages
- AGS Script
- Arduino
- Assembly
- Batchfile
- C
- C#
- C++
- CMake
- CSS
- Cuda
- Dockerfile
- EmberScript
- Fortran
- FreeBASIC
- G-code
- Go
- Grammatical Framework
- HTML
- Java
- JavaScript
- Julia
- Jupyter Notebook
- Kotlin
- Lua
- MATLAB
- MLIR
- Makefile
- Markdown
- OCaml
- OpenSCAD
- PHP
- PLpgSQL
- Pascal
- PostScript
- Protocol Buffer
- PureBasic
- Python
- QML
- R
- Roff
- Ruby
- Rust
- SQLPL
- Scala
- Scilab
- Shell
- Swift
- TeX
- TypeScript
- V
- VHDL
- Verilog
- Vue
Starred repositories
Instant neural graphics primitives: lightning fast NeRF and more
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Fuse multiple depth frames into a TSDF voxel volume.
Published on Nature Machine Intelligence! The first real robot(quadrotor) based on differentiable physics training.
NeRFshop: Interactive Editing of Neural Radiance Fields
This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"
ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding
The modified differential Gaussian rasterization in the CVPR 2024 highlight paper: GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting.
TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade
ICCV2015 Image Super-Resolution Using Deep Convolutional Networks
The source code of ECCV16 'Deep Joint Image Filtering'.
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
Dense RGB-D SLAM system RGB-D SLAM articulated around a supersurfel-based 3D representation for fast, lightweight and compact mapping in indoor environment.
An unofficial Pytorch extension for occupancy grids and volume rendering in Permuto SDF (CVPR 2023)
A C++ port of Philippe Weinzaepfel's C DeepFlow library, using OpenCV/CUDA
Multi-Max-Clique, an application that solves Maximum Clique Problem using the parallel branch and bound approach and achieved linear and super-linear speedups in CUDA.