ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors
Paper
•
2601.02359
•
Published
•
4
Kaede Shiohara
mapooon
·
AI & ML interests
None yet
Recent Activity
updated
a dataset
18 days ago
mapooon/S2CFP
upvoted
a
paper
about 1 month ago
AlignBench: Benchmarking Fine-Grained Image-Text Alignment with Synthetic Image-Caption Pairs
submitted
a paper
about 1 month ago
ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors
Organizations
submitted
a
paper
to Daily Papers
about 1 month ago
authored
6
papers
about 1 month ago
BlendFace: Re-designing Identity Encoders for Face-Swapping
Paper
•
2307.10854
•
Published
Face2Diffusion for Fast and Editable Face Personalization
Paper
•
2403.05094
•
Published
PetFace: A Large-Scale Dataset and Benchmark for Animal Identification
Paper
•
2407.13555
•
Published
•
1
OpenAnimalTracks: A Dataset for Animal Track Recognition
Paper
•
2406.09647
•
Published
Detecting Deepfakes with Self-Blended Images
Paper
•
2204.08376
•
Published
ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors
Paper
•
2601.02359
•
Published
•
4