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Instant neural graphics primitives: lightning fast NeRF and more
Deformable ConvNets V2 (DCNv2) in PyTorch
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
Reference implementation of Megalodon 7B model
Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
PopSift is an implementation of the SIFT algorithm in CUDA.
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment
NeRFshop: Interactive Editing of Neural Radiance Fields
GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
Chamfer Distance in Pytorch with f-score
Official implementation of "Decentralization and Acceleration Enables Large-Scale Bundle Adjustment"
Pytorch package to compute Chamfer distance between point sets (pointclouds).
[ECCV'2022 Oral] PyTorch implementation for: SimCC: a Simple Coordinate Classification Perspective for Human Pose Estimation (http://arxiv.org/abs/2107.03332). Old name: SimDR
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
Implementation of fused cosine similarity attention in the same style as Flash Attention
GGNN: State of the Art Graph-based GPU Nearest Neighbor Search
Multi-Scale Geometric Consistency Guided Multi-View Stereo
A CUDA Mesh RayTracer with BVH acceleration, with python bindings and a GUI.
Instant NeRF for depth/3d shape estimation of transparent objects
deformable_conv2d layer implemented in pytorch
Test-Time Personalization with a Transformer for Human Pose Estimation, NeurIPS 2021
Adapted signed distance function (SDF) for detecting collisions between 3D interacting hands.
ray cast mesh to get normal, depth and face_ids