eeqmcc's starred repositories
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
WickedEngine
3D engine with modern graphics
HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
TEASER-plusplus
A fast and robust point cloud registration library
dcgan.torch
A torch implementation of http://arxiv.org/abs/1511.06434
imaging_lidar_place_recognition
ICRA 2021 - Robust Place Recognition using an Imaging Lidar
3D_multiview_reg
[CVPR2020] Learning multiview 3D point cloud registration
adaptive_clustering
[ROS package] Lightweight and Accurate Point Cloud Clustering
MeshSegNet
PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization; this project is partially powered by SOVE Inc.
Doppler-ICP
Official code release for Doppler ICP
learning_minimal
Learning to Solve Hard Minimal Problems
surface-reconstruction-benchmark
A working copy of the code from "A Benchmark for Surface Reconstruction" by Berger et. Al