LLM training in simple, raw C/CUDA

Instant neural graphics primitives: lightning fast NeRF and more

Fully Convolutional Instance-aware Semantic Segmentation

Sample codes for my CUDA programming book

CUDA accelerated rasterization of gaussian splatting

how to optimize some algorithm in cuda.

A CUDA implementation of SIFT for NVidia GPUs (1.2 ms on a GTX 1060)

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, s…

Fuse multiple depth frames into a TSDF voxel volume.

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

[ICCV 2023] Official code for NeuS2

UNet diffusion model in pure CUDA

Fast k nearest neighbor search using GPU

Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

Implementation of the KinectFusion approach in modern C++14 and CUDA

NeRFshop: Interactive Editing of Neural Radiance Fields

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

PopSift is an implementation of the SIFT algorithm in CUDA.

tutorial for writing custom pytorch cpp+cuda kernel, applied on volume rendering (NeRF)

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

Official implementation of "Decentralization and Acceleration Enables Large-Scale Bundle Adjustment"

Code for "Representing Volumetric Videos as Dynamic MLP Maps" CVPR 2023

A Neural Volumetric Renderer

Planar Prior Assisted PatchMatch Multi-View Stereo

A set of hands-on tutorials for CUDA programming

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

Multi-Scale Geometric Consistency Guided Multi-View Stereo