What makes fake images detectable? Understanding properties that
generalize

What makes fake images detectable? Understanding properties that generalize

24 August 2020

Ser-Nam Lim

Papers citing "What makes fake images detectable? Understanding properties that generalize"

8 / 8 papers shown

Title
Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations Tharun Anand Siva Sankar Pravin Nair AAML 52 0 0 28 Mar 2025
TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping Despina Konstantinidou C. Koutlis Symeon Papadopoulos 86 3 0 17 Jan 2025
Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learning Dragos-Alexandru Boldisor Stefan Smeu Dan Oneaţă Elisabeta Oneata 127 1 0 29 Nov 2024
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization Yuxiao Chen Xiaolin Huang Quan Zhang Wei Li Mingjian Zhu ... Hanting Chen Hailin Hu J. Yang Wen Liu Jie Hu EGVM 61 3 0 24 Jun 2024
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method Mian Zou Baosheng Yu Yibing Zhan Siwei Lyu Kede Ma CVBM 71 3 0 14 May 2024
Nepotistically Trained Generative-AI Models Collapse Matyáš Boháček Hany Farid 59 19 0 20 Nov 2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning Haiwei Wu Jiantao Zhou Shile Zhang 123 30 0 23 May 2023
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 437 10,466 0 12 Dec 2018

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