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Diffusion Model for Dense Matching

30 May 2023

Papers citing "Diffusion Model for Dense Matching"

40 / 40 papers shown

Title
A Simple Approach to Unifying Diffusion-based Conditional Generation Xirui Li Charles Herrmann Kelvin C.K. Chan Yinxiao Li Deqing Sun Chao Ma Ming-Hsuan Yang DiffM VLM 97 1 0 15 Oct 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception Run Luo Yunshui Li Longze Chen Wanwei He Ting-En Lin ... Zikai Song Xiaobo Xia Tongliang Liu Min Yang Binyuan Hui VLM DiffM 116 22 0 24 May 2024
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation Saurabh Saxena Charles Herrmann Junhwa Hur Abhishek Kar Mohammad Norouzi Deqing Sun David J. Fleet DiffM 86 83 0 02 Jun 2023
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models Gyeongnyeon Kim Wooseok Jang Gyuseong Lee Susung Hong Junyoung Seo Seung Wook Kim VLM DiffM 56 12 0 17 Dec 2022
InstructPix2Pix: Learning to Follow Image Editing Instructions Tim Brooks Aleksander Holynski Alexei A. Efros DiffM 209 1,830 0 17 Nov 2022
DiffusionDet: Diffusion Model for Object Detection Shoufa Chen Pei Sun Yibing Song Ping Luo 117 466 0 17 Nov 2022
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Yogesh Balaji Seungjun Nah Xun Huang Arash Vahdat Jiaming Song ... Timo Aila S. Laine Bryan Catanzaro Tero Karras Xuan Li VLM MoE 177 828 0 02 Nov 2022
A Generalist Framework for Panoptic Segmentation of Images and Videos Ting-Li Chen Lala Li Saurabh Saxena Geoffrey E. Hinton David J. Fleet VGen MLLM 62 103 0 12 Oct 2022
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 270 767 0 29 Sep 2022
Pyramidal Denoising Diffusion Probabilistic Models Dohoon Ryu Jong Chul Ye 92 25 0 03 Aug 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 355 1,421 0 24 Jan 2022
Conditional Image Generation with Score-Based Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb Christian Etmann DiffM 56 193 0 26 Nov 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 484 1,645 0 10 Nov 2021
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network Prune Truong Martin Danelljan Radu Timofte Luc Van Gool 75 86 0 28 Sep 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence Sunghwan Hong Seungryong Kim 78 28 0 06 Jun 2021
CATs: Cost Aggregation Transformers for Visual Correspondence Seokju Cho Sunghwan Hong Sangryul Jeon Yunsung Lee Kwanghoon Sohn Seungryong Kim ViT 76 91 0 04 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 166 1,235 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 263 7,938 0 11 May 2021
COTR: Correspondence Transformer for Matching Across Images Wei Jiang Eduard Trulls J. Hosang Andrea Tagliasacchi K. M. Yi ViT 84 264 0 25 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 352 3,715 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,566 0 26 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 289 7,469 0 06 Oct 2020
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 77 77 0 16 Sep 2020
Cross-domain Correspondence Learning for Exemplar-based Image Translation Peiying Zhang Bo Zhang Dong Chen Lu Yuan Fang Wen 82 240 0 12 Apr 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed Jia Deng MDE 244 2,644 0 26 Mar 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 314 5,828 0 03 Dec 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 127 1,949 0 26 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,956 0 12 Jul 2019
Recurrent Transformer Networks for Semantic Correspondence Seungryong Kim Stephen Lin Sangryul Jeon Dongbo Min Kwanghoon Sohn ViT 65 101 0 29 Oct 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos Zhengqi Li Noah Snavely MDE 3DV 109 1,023 0 02 Apr 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 261 2,447 0 07 Sep 2017
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors Vassileios Balntas Karel Lenc Andrea Vedaldi K. Mikolajczyk 106 722 0 19 Apr 2017
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks Andrey D. Ignatov Nikolay Kobyshev Radu Timofte K. Vanhoey Luc Van Gool 70 520 0 08 Apr 2017
Convolutional neural network architecture for geometric matching Ignacio Rocco Relja Arandjelović Josef Sivic 104 545 0 16 Mar 2017
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 404 1,890 0 18 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,644 0 06 Apr 2016
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 311 4,180 0 26 Apr 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 306 7,016 0 12 Mar 2015
EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow Jérôme Revaud Philippe Weinzaepfel Zaïd Harchaoui Cordelia Schmid 76 797 0 12 Jan 2015
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 221 3,418 0 14 May 2014