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[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning
Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"
Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)
[RAL 2024] RANSAC Back to SOTA: A Two-Stage Consensus Filtering for Real-Time 3D Registration
The first fully convolutional metric learning for geometric/semantic image correspondences.
Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
Correspondence Management System (Email Workflow Tracking with Instant Messaging Channels)
C++ implementation of the GMS Feature Correspondence Algorithm
Serial and parallel implementation of Dense 3D Face correspondence paper
a little program to transform a table of letters into the CMI format
Open historic data created from Benjamin Franklin's Philadelphia post office records in the collections of the American Philosophical Society.
This repository contains a collection of Digital Geometry Processing libraries to be used in achieving multiple shape correspondence.
Official Python Implementation for "CycleLK: Self-Supervised Cycle Lucas-Kanade Network for Correspondence Flow", In Submission
Visualize each iteration of ICP-like algorithms in RViz, including residuals, normals, correspondences.