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University of Canterbury
- Christchurch, New Zealand
- https://ucvision.org.nz/
Stars
7
stars
written in Cuda
Clear filter
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
Marching cubes implementation for PyTorch environment.
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.
Official code release for "Efficient Perspective-Correct 3D Gaussian Splatting Using Hybrid Transparency"