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written in Cuda
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Instant neural graphics primitives: lightning fast NeRF and more
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Fuse multiple depth frames into a TSDF voxel volume.
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
Pytorch package to compute Chamfer distance between point sets (pointclouds).
Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)