On the unreasonable vulnerability of transformers for image restoration
-- and an easy fix

On the unreasonable vulnerability of transformers for image restoration -- and an easy fix

25 July 2023

Shashank Agnihotri

Kanchana Vaishnavi Gandikota

Julia Grabinski

Paramanand Chandramouli

Papers citing "On the unreasonable vulnerability of transformers for image restoration -- and an easy fix"

14 / 14 papers shown

Title
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions Shashank Agnihotri Amaan Ansari Annika Dackermann Fabian Rösch M. Keuper 41 0 0 08 May 2025
Are Synthetic Corruptions A Reliable Proxy For Real-World Corruptions? Shashank Agnihotri David Schader Nico Sharei Mehmet Ege Kaçar M. Keuper 36 1 0 07 May 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 21 3 0 30 Oct 2024
How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov Shashank Agnihotri M. Keuper J. Keuper 18 2 0 18 Oct 2024
Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration Shashank Agnihotri Julia Grabinski Janis Keuper M. Keuper 19 4 0 11 Jun 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 24 0 0 19 Feb 2024
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski M. Keuper 15 5 0 29 Nov 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung M. Keuper AAML 17 20 0 04 Feb 2023
On Adversarial Robustness of Deep Image Deblurring Kanchana Vaishnavi Gandikota Paramanand Chandramouli Michael Moeller 31 11 0 05 Oct 2022
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration Marcos V. Conde Ui-Jin Choi Maxime Burchi Radu Timofte ViT 46 130 0 22 Sep 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 18 6 0 14 Sep 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 170 256 0 10 Nov 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,554 0 04 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 11 7 0 30 Apr 2021