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Instant neural graphics primitives: lightning fast NeRF and more
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
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.
Implementation of the KinectFusion approach in modern C++14 and CUDA
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
[SIGGRAPH 2021] ROSEFusion is proposed to tackle the difficulties in fast-motion camera tracking using random optimization with depth information only.
Differentiable Iso-Surface Extraction Package (DISO)
ICRA2025: OpenGS-SLAM: Open-Set Dense Semantic SLAM with 3D Gaussian Splatting for Object-Level Scene Understanding
Code for "Representing Volumetric Videos as Dynamic MLP Maps" CVPR 2023
[ECCV'24] On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search. Run on Jetson Orin NX 8GB.
A CUDA-based implementation of the Alternating Direction Method of Multipliers (ADMM) algorithm to solve Semi-Definite Programming (SDP) problems.
Visual odometry (based on image intensity) implementation on CUDA
persistent kernel sample implementation of iterative stencil solver and conjugate gradient solver