Foundation Models Boost Low-Level Perceptual Similarity Metrics

11 September 2024

Papers citing "Foundation Models Boost Low-Level Perceptual Similarity Metrics"

17 / 17 papers shown

Title
Do computer vision foundation models learn the low-level characteristics of the human visual system? Yancheng Cai Fei Yin Dounia Hammou Rafal Mantiuk VLM Presented at ResearchTrend Connect \| VLM on 14 Mar 2025 178 1 0 13 Mar 2025
Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics Francesco Croce Christian Schlarmann Naman D. Singh Matthias Hein 124 6 0 17 Feb 2025
R-LPIPS: An Adversarially Robust Perceptual Similarity Metric Sara Ghazanfari S. Garg Prashanth Krishnamurthy Farshad Khorrami Alexandre Araujo 54 21 0 27 Jul 2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data Stephanie Fu Netanel Y. Tamir Shobhita Sundaram Lucy Chai Richard Y. Zhang Tali Dekel Phillip Isola EGVM 67 108 0 15 Jun 2023
Attacking Perceptual Similarity Metrics Abhijay Ghildyal Feng Liu AAML 47 9 0 15 May 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 249 3,205 0 14 Apr 2023
Shift-tolerant Perceptual Similarity Metric Abhijay Ghildyal Feng Liu 33 40 0 27 Jul 2022
Exploring CLIP for Assessing the Look and Feel of Images Jianyi Wang Kelvin C. K. Chan Chen Change Loy VLM 102 548 0 25 Jul 2022
Do better ImageNet classifiers assess perceptual similarity better? Manoj Kumar N. Houlsby Nal Kalchbrenner E. D. Cubuk 59 33 0 09 Mar 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 587 5,920 0 29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 681 28,659 0 26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 397 40,217 0 22 Oct 2020
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration Jinjin Gu Haoming Cai Haoyu Chen Xiaoxing Ye Jimmy S. J. Ren Chao Dong 47 194 0 23 Jul 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 109 17,950 0 28 May 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 297 11,610 0 11 Jan 2018
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 943 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014