FreqBlender: Enhancing DeepFake Detection by Blending Frequency
Knowledge

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge

22 April 2024

Junyu Dong

Papers citing "FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge"

7 / 7 papers shown

Title
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error Beilin Chu Xuan Xu Xin Wang Yuhang Zhang Weike You Linna Zhou DiffM 100 1 0 10 Dec 2024
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Hong-Hanh Nguyen-Le Van-Tuan Tran Dinh-Thuc Nguyen Nhien-An Le-Khac AAML 110 1 0 26 Nov 2024
UCF: Uncovering Common Features for Generalizable Deepfake Detection Zhiyuan Yan Yong Zhang Yanbo Fan Baoyuan Wu 59 98 0 27 Apr 2023
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 149 1,046 0 27 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,368 0 07 Oct 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016