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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.
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Source code that accompanies The CUDA Handbook.
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"
[CVPR'21] [Jittor & Pytorch] DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
GPU implementation of total generalized variation (TGV) stereo matching