A 3D point cloud descriptor for place recognition

hand-eye calibration, tool-flange calibration

A collection of GICP-based fast point cloud registration algorithms

Efficient and parallel algorithms for point cloud registration [C++, Python]

Fork of the ops from Erik Wijman's Pointnet++ repo

PyTorch implementation of Pointnet2/Pointnet++

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Official PyTorch Implementation of paper "Vision Transformer for NeRF-Based View Synthesis from a Single Input Image", WACV 2023.

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive arch…

[CVPR 2024 Highlight] FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

GL3D (Geometric Learning with 3D Reconstruction): a large-scale database created for 3D reconstruction and geometry-related learning problems

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)

PyTorch implementation of the InfoNCE loss for self-supervised learning.

This is an unofficial implementation of the Point Transformer paper.

3D Dental surface segmentation with Tooth Group Network

Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com

SSU Capstone project 2020-2