research @ Apple, ex-PhD candidate @ Technical University of Munich; ex-Samsung AI
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Technical University of Munich (TUM)
- https://seva100.github.io/
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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.
Implementation of the KinectFusion approach in modern C++14 and CUDA
Pytorch package to compute Chamfer distance between point sets (pointclouds).