v1v2 (latest)

Back to the Source: Diffusion-Driven Test-Time Adaptation

7 July 2022

Jin Gao

Papers citing "Back to the Source: Diffusion-Driven Test-Time Adaptation"

36 / 36 papers shown

Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 231 490 0 26 Feb 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Lingkun Luo Shiqiang Hu Liming Chen 150 0 0 10 Feb 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging Ali Bahri Moslem Yazdanpanah Mehrdad Noori Sahar Dastani Oghani Milad Cheraghalikhani David Osowiech Farzad Beizaee G. A. V. Hakim Ismail ben Ayed Christian Desrosiers 3DPC TTA 119 1 0 31 Dec 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 123 0 0 22 Oct 2024
Test-time Adaptation for Regression by Subspace Alignment Kazuki Adachi Shin'ya Yamaguchi Atsutoshi Kumagai Tomoki Hamagami TTA 111 2 0 04 Oct 2024
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 263 444 0 16 May 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 171 5,192 0 10 Jan 2022
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 356 3,605 0 20 Dec 2021
More Control for Free! Image Synthesis with Semantic Diffusion Guidance Xihui Liu Dong Huk Park S. Azadi Gong Zhang Arman Chopikyan Yuxiao Hu Humphrey Shi Anna Rohrbach Trevor Darrell DiffM 95 256 0 10 Dec 2021
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models Jooyoung Choi Sungwon Kim Yonghyun Jeong Youngjune Gwon Sungroh Yoon DiffM 130 721 0 06 Aug 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Cian Eastwood I. Mason Christopher K. I. Williams Bernhard Schölkopf TTA 68 51 0 12 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 230 7,857 0 11 May 2021
Enhancing Photorealism Enhancement Stephan R. Richter Hassan Abu Alhaija V. Koltun 43 106 0 10 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 349 3,702 0 18 Feb 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 183 1,434 0 14 Dec 2020
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 341 6,480 0 26 Nov 2020
Test-time Unsupervised Domain Adaptation Thomas Varsavsky Mauricio Orbes-Arteaga Carole H. Sudre M. Graham P. Nachev M. Jorge Cardoso OOD 56 56 0 05 Oct 2020
Contrastive Learning for Unpaired Image-to-Image Translation Taesung Park Alexei A. Efros Richard Y. Zhang Jun-Yan Zhu SSL 83 1,225 0 30 Jul 2020
TSIT: A Simple and Versatile Framework for Image-to-Image Translation Liming Jiang Changxu Zhang Mingyang Huang Chunxiao Liu Jianping Shi Chen Change Loy DiffM 209 115 0 23 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 97 482 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo Basel Alomair Jacob Steinhardt Justin Gilmer OOD 340 1,740 0 29 Jun 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 258 1,161 0 16 Jun 2020
Universal Source-Free Domain Adaptation Jogendra Nath Kundu Naveen Venkat V. RahulM. R. Venkatesh Babu VLM TTA 77 343 0 09 Apr 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 102 1,244 0 20 Feb 2020
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts Yu Sun Xiaolong Wang Zhuang Liu John Miller Alexei A. Efros Moritz Hardt TTA OOD 82 94 0 29 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Photorealistic Style Transfer via Wavelet Transforms Jaejun Yoo Youngjung Uh Sanghyuk Chun Byeongkyu Kang Jung-Woo Ha 39 359 0 23 Mar 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization Taesung Park Ming-Yuan Liu Ting-Chun Wang Jun-Yan Zhu 156 2,688 0 18 Mar 2019
Multimodal Unsupervised Image-to-Image Translation Xun Huang Ming-Yuan Liu Serge J. Belongie Jan Kautz 133 2,482 0 12 Apr 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell 144 3,002 0 08 Nov 2017
VisDA: The Visual Domain Adaptation Challenge Xingchao Peng Ben Usman Neela Kaushik Judy Hoffman Dequan Wang Kate Saenko OOD 89 802 0 18 Oct 2017
Adversarial Discriminative Domain Adaptation Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 265 4,667 0 17 Feb 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 378 9,497 0 28 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 303 6,949 0 12 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014