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Which Model Generated This Image? A Model-Agnostic Approach for Origin
  Attribution

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution

3 April 2024
Fengyuan Liu
Haochen Luo
Yiming Li
Philip Torr
Jindong Gu
    VLM
ArXivPDFHTML

Papers citing "Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution"

7 / 7 papers shown
Title
Team NYCU at Defactify4: Robust Detection and Source Identification of AI-Generated Images Using CNN and CLIP-Based Models
Tsan-Tsung Yang
I-Wei Chen
Kuan-Ting Chen
Shang-Hsuan Chiang
Wen-Chih Peng
39
0
0
13 Mar 2025
Few-Shot Class-Incremental Model Attribution Using Learnable Representation From CLIP-ViT Features
Hanbyul Lee
Juneho Yi
DiffM
51
0
0
11 Mar 2025
SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI
Kui Ren
Ziqi Yang
Li Lu
Jian Liu
Yiming Li
Jie Wan
Xiaodi Zhao
Xianheng Feng
Shuo Shao
98
2
0
18 Nov 2024
Responsible Generative AI: What to Generate and What Not
Responsible Generative AI: What to Generate and What Not
Jindong Gu
31
8
0
08 Apr 2024
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao
Bingkun Bao
Hao Tang
Changsheng Xu
DiffM
VLM
74
101
0
30 Jan 2023
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize
  Long-Tail Visual Concepts
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Soravit Changpinyo
P. Sharma
Nan Ding
Radu Soricut
VLM
296
1,084
0
17 Feb 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
312
36,381
0
25 Aug 2016
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