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Title: GitHub - LightricksResearch/DenseMatching: Dense matching library based on PyTorch

Open Graph Title: GitHub - LightricksResearch/DenseMatching: Dense matching library based on PyTorch

X Title: GitHub - LightricksResearch/DenseMatching: Dense matching library based on PyTorch

Description: Dense matching library based on PyTorch. Contribute to LightricksResearch/DenseMatching development by creating an account on GitHub.

Open Graph Description: Dense matching library based on PyTorch. Contribute to LightricksResearch/DenseMatching development by creating an account on GitHub.

X Description: Dense matching library based on PyTorch. Contribute to LightricksResearch/DenseMatching development by creating an account on GitHub.

Mail addresses
prune.truong@vision.ee.ethz.ch

Opengraph URL: https://github.com/LightricksResearch/DenseMatching

X: @github

direct link

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run_training.pyhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/run_training.py
run_training.pyhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/run_training.py
test_models.pyhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/test_models.py
test_models.pyhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/test_models.py
READMEhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching
Licensehttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#dense-matching
PDCNethttps://arxiv.org/abs/2101.01710
WarpChttps://arxiv.org/abs/2104.03308
Refignhttps://ieeexplore.ieee.org/document/10030987
codehttps://github.com/brdav/refign
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#updates
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#highlights
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#dense-matching-networks
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#6-pwarpc-probabilistic-warp-consistency-for-weakly-supervised-semantic-correspondences-cvpr-2022
Prune Truonghttps://prunetruong.com/
Martin Danelljanhttps://martin-danelljan.github.io/
Fisher Yuhttps://www.yf.io/
Paperhttps://arxiv.org/abs/2203.04279
Websitehttps://prunetruong.com/research/pwarpc
Posterhttps://drive.google.com/file/d/1lP5E3BNqdKJL1q-YsQ-C7rOwkcb5S63W/view?usp=sharing
Videohttps://www.youtube.com/watch?v=I2KtnvI8xZU
Citationhttps://dblp.org/rec/conf/cvpr/TruongDYG22.html?view=bibtex
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/images/pwarpc_banner.png
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#5-pdc-net-enhanced-probabilistic-dense-correspondence-network-tpami-2023
Prune Truonghttps://prunetruong.com/
Martin Danelljanhttps://martin-danelljan.github.io/
Paperhttps://arxiv.org/abs/2109.13912
Websitehttps://prunetruong.com/research/pdcnet+
Citationhttps://dblp.org/rec/journals/corr/abs-2109-13912.html?view=bibtex
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#4-warpc-warp-consistency-for-unsupervised-learning-of-dense-correspondences-iccv-2021---oral
Prune Truonghttps://prunetruong.com/
Martin Danelljanhttps://martin-danelljan.github.io/
Fisher Yuhttps://www.yf.io/
Paperhttps://arxiv.org/abs/2104.03308
Websitehttps://prunetruong.com/research/warpc
Posterhttps://drive.google.com/file/d/1PCXkjxvVsjHAbYzsBtgKWLO1uE6oGP6p/view?usp=sharing
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https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#3-pdc-net-learning-accurate-correspondences-and-when-to-trust-them-cvpr-2021---oral
Prune Truonghttps://prunetruong.com/
Martin Danelljanhttps://martin-danelljan.github.io/
Paperhttps://arxiv.org/abs/2101.01710
Websitehttps://prunetruong.com/research/pdcnet
Posterhttps://drive.google.com/file/d/18ya__AdEIgZyix8dXuRpJ15tdrpbMUsB/view?usp=sharing
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https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/images/PDCNet.png
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Prune Truonghttps://prunetruong.com/
Martin Danelljanhttps://martin-danelljan.github.io/
Paperhttps://arxiv.org/abs/2009.07823
Websitehttps://prunetruong.com/research/gocor
Videohttps://www.youtube.com/watch?v=V22MyFChBCs
Citationhttps://dblp.org/rec/conf/nips/TruongDGT20.html?view=bibtex
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/images/corr_diff_iteration.jpg
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#1-glu-net-global-local-universal-network-for-dense-flow-and-correspondences-cvpr-2020---oral
Prune Truonghttps://prunetruong.com/
Martin Danelljanhttps://martin-danelljan.github.io/
Paperhttps://arxiv.org/abs/1912.05524
Websitehttps://prunetruong.com/research/glu-net
Posterhttps://drive.google.com/file/d/1pS_OMZ83EG-oalD-30vDa3Ru49GWi-Ky/view?usp=sharing
Oral Videohttps://www.youtube.com/watch?v=xB2gNx8f8Xc&feature=emb_title
Teaser Videohttps://www.youtube.com/watch?v=s5OUdkM9QLo
Citationhttps://dblp.org/rec/conf/cvpr/TruongDT20.html?view=bibtex
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/images/glunet.png
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#pre-trained-weights
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https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#table-of-content
Installationhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#installation
Test on your own image pairs!https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#test
Test on image pairshttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#test1
Various demoshttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#test2
Overviewhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#overview
Benchmarks and resultshttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#results
Correspondence evaluationhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#correspondence_eval
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Traininghttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#training
Acknowledgementhttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#acknowledgement
Changeloghttps://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#changelog
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#1-installation-
GOCorhttps://arxiv.org/abs/2009.07823
model zoohttps://github.com/PruneTruong/DenseMatching/blob/main/MODEL_ZOO.md
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#2-test-on-your-own-image-pairs--
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#test-on-a-specific-image-pair--
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https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/images/scannet.gif
SuperGluehttps://github.com/magicleap/SuperGluePretrainedNetwork
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching/blob/main/images/camel_5_90_mid_47_84.gif
SuperGluehttps://github.com/magicleap/SuperGluePretrainedNetwork
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#3-overview--
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#4-benchmark-and-results--
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#41-correspondence-evaluation-
RANSAC-Flowhttps://github.com/XiSHEN0220/RANSAC-Flow/tree/master/evaluation/evalCorr
Visual Localization Challengehttps://www.visuallocalization.net/datasets/
herehttps://www.dropbox.com/sh/ql8t2us433v8jej/AAB0wfFXs0CLPqSiyq0ukaKva/ROBOTCAR?dl=0&subfolder_nav_tracking=1
herehttps://drive.google.com/file/d/16mZLUKsjceAt1RTW1KLckX0uCR3O4x5Q/view
GLU-Net repohttps://github.com/PruneTruong/GLU-Net
herehttps://www.eth3d.net/data/multi_view_training_rig.7z
herehttps://www.eth3d.net/data/multi_view_test_rig_undistorted.7z
herehttps://drive.google.com/file/d/1Okqs5QYetgVu_HERS88DuvsABGak08iN/view?usp=sharing
PDC-Net paperhttps://arxiv.org/abs/2101.01710
herehttp://www.cvlibs.net/datasets/kitti/eval_flow.php
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#42-pose-estimation-
SuperGlue repohttps://github.com/magicleap/SuperGluePretrainedNetwork
OANet repohttps://github.com/zjhthu/OANet
herehttps://drive.google.com/file/d/19o07SOWpv_DQcIbjb87BAKBHNCcsr4Ax/view?usp=sharing
ScanNet github repohttps://github.com/ScanNet/ScanNet
SuperGlue repohttps://github.com/magicleap/SuperGluePretrainedNetwork
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#43-sparse-evaluation-on-hpatches-
herehttps://drive.google.com/drive/folders/1gphUcvBXO12EsqskdMlH3CsLxHPLtIqL?usp=sharing
PDC-Net+https://arxiv.org/abs/2109.13912
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#5-training-
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#quick-start
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#training-datasets-downloading-
GLU-Net repohttps://github.com/PruneTruong/GLU-Net
DPED datasethttp://people.ee.ethz.ch/~ihnatova/
CityScapes datasethttps://www.cityscapes-dataset.com/
ADE-20K datasethttps://drive.google.com/file/d/19r7dsYraHsNGI1ViZi4VwCfQywdODCDU/view?usp=sharing
herehttp://cocodataset.org/#download
D2-Net repohttps://github.com/mihaidusmanu/d2-net
here - Google Drivehttps://drive.google.com/drive/folders/1hxpOsqOZefdrba_BqnW490XpNX_LgXPB
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#training-scripts
Refignhttps://ieeexplore.ieee.org/document/10030987
codehttps://github.com/brdav/refign
PDCNethttps://arxiv.org/abs/2101.01710
WarpChttps://arxiv.org/abs/2104.03308
WarpC paperhttps://arxiv.org/abs/2104.03308
WarpC paperhttps://arxiv.org/abs/2104.03308
PDC-Net+ paperhttps://arxiv.org/abs/2109.13912
PDC-Net paperhttps://arxiv.org/abs/2101.01710
PDCNet paperhttps://arxiv.org/abs/2101.01710
GLU-Nethttps://arxiv.org/abs/1912.05524
GOCor paperhttps://arxiv.org/abs/2009.07823
GOCorhttps://arxiv.org/abs/2009.07823
GOCor paperhttps://arxiv.org/abs/2009.07823
GOCorhttps://arxiv.org/abs/2009.07823
GOCor paperhttps://arxiv.org/abs/2009.07823
GOCorhttps://arxiv.org/abs/2009.07823
GOCor paperhttps://arxiv.org/abs/2009.07823
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#training-your-own-networks
train_GLUNet_static.pyhttps://github.com/PruneTruong/DenseMatching/blob/main/train_settings/GLUNet/train_GLUNet_static.py
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#6-acknowledgement-
pytrackinghttps://github.com/visionml/pytracking
GLU-Nethttps://github.com/PruneTruong/GLU-Net
DGC-Nethttps://github.com/AaltoVision/DGC-Net
PWC-Nethttps://github.com/NVlabs/PWC-Net
NC-Nethttps://github.com/ignacio-rocco/ncnet
Flow-Net-Pytorchhttps://github.com/ClementPinard/FlowNetPytorch
RAFThttps://github.com/princeton-vl/RAFT
CATshttps://github.com/SunghwanHong/Cost-Aggregation-transformers
https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#7-changelog-
Readme https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#readme-ov-file
LGPL-2.1 license https://patch-diff.githubusercontent.com/LightricksResearch/DenseMatching#LGPL-2.1-1-ov-file
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