Instant neural graphics primitives: lightning fast NeRF and more

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Fuse multiple depth frames into a TSDF voxel volume.

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

A simple GPU hash table implemented in CUDA using lock free techniques

3DGS-LM accelerates Gaussian-Splatting optimization by replacing the ADAM optimizer with Levenberg-Marquardt. (ICCV 2025)

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed th…

A high performance CUDA implementation of Scan Matching via the Iterative Closest Point Algorithm

High Performance Median Filtering Algorithm Based on NVIDIA GPU Computing

C++/CUDA code to perform bilateral filtering on OpenCV Mat inputs

A GPU cuckoo lookup table based on CUDA

3D RayCasting in CUDA

Canny edge detector written in CUDA C++ on video. Provides GPU implementations.