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Instant neural graphics primitives: lightning fast NeRF and more
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
GPU Accelerated t-SNE for CUDA with Python bindings
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 …
Fuse multiple depth frames into a TSDF voxel volume.
bycloudai / instant-ngp-Windows
Forked from NVlabs/instant-ngpInstant neural graphics primitives: lightning fast NeRF and more
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
NeRFshop: Interactive Editing of Neural Radiance Fields
PopSift is an implementation of the SIFT algorithm in CUDA.
NVIDIA-accelerated zero latency video compression library for interactive remoting applications
A simple GPU hash table implemented in CUDA using lock free techniques
This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
an implementation of parallel linear BVH (LBVH) on GPU
C++ Code to run waveglow inference in cuda
Code repository for the massively-parallel framework for maximum-likelihood fits, implemented in CUDA/OpenMP
GPU accelerated pre-filtered cubic b-spline interpolation using CUDA
GPU Fluid Simulation with Volumetric Rendering
Blazingly fast encoding for neural networks based on permutohedral lattices
A high-performance CUDA-based physics simulation sandbox for soft robotics and reinforcement learning.
A C++/CUDA library to efficiently compute neighborhood information on the GPU for 3D point clouds within a fixed radius.
GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016
GPU implementation of LATCH descriptor & matcher.