Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
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Updated
Oct 12, 2022 - Python
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.
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
[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)
The first fully convolutional metric learning for geometric/semantic image correspondences.
Open historic data created from Benjamin Franklin's Philadelphia post office records in the collections of the American Philosophical Society.
Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
C++ implementation of the GMS Feature Correspondence Algorithm
a little program to transform a table of letters into the CMI format
Serial and parallel implementation of Dense 3D Face correspondence paper
Computer Vision coursework | Applied Sciences Faculty, UCU, Lviv (2019)
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Polygonal meshes in vertex-wise correspondence
Correspondence Management System (Email Workflow Tracking with Instant Messaging Channels)
Optimal transport-based correspondence computation for segmented point clouds
This repository contains a collection of Digital Geometry Processing libraries to be used in achieving multiple shape correspondence.
A repository for project pages for CHRG funded research on Hayley
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