Instant neural graphics primitives: lightning fast NeRF and more

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

how to optimize some algorithm in cuda.

cuGraph - RAPIDS Graph Analytics Library

Efficient GPU kernels for block-sparse matrix multiplication and convolution

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing …

NeRFshop: Interactive Editing of Neural Radiance Fields

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