activity
20182024
most citedDFGC 2021: A DeepFake Game Competition

19 citations · 41 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

17 papers · 1 filter

cs.CV2024

Artifact Feature Purification for Cross-domain Detection of AI-generated Images

Zheling Meng, Bo Peng, Jing Dong +1

In the era of AIGC, the fast development of visual content generation technologies, such as diffusion models, bring potential security risks to our society. Existing generated imag…

cs.CV2023

GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images

Tianxiang Ma, Bingchuan Li, Qian He +2

While current face animation methods can manipulate expressions individually, they suffer from several limitations. The expressions manipulated by some motion-based facial reenactm…

cs.CV2023

Freestyle 3D-Aware Portrait Synthesis Based on Compositional Generative Priors

Tianxiang Ma, Kang Zhao, Jianxin Sun +2

Efficiently generating a freestyle 3D portrait with high quality and 3D-consistency is a promising yet challenging task. The portrait styles generated by most existing methods are…

cs.CV202311 cited

RiDDLE: Reversible and Diversified De-identification with Latent Encryptor

Dongze Li, Wei Wang, Kang Zhao +2

This work presents RiDDLE, short for Reversible and Diversified De-identification with Latent Encryptor, to protect the identity information of people from being misused. Built upo…

cs.CV20232 cited

Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation

Weinan Guan, Wei Wang, Jing Dong +2

Detecting maliciously falsified facial images and videos has attracted extensive attention from digital-forensics and computer-vision communities. An important topic in manipulatio…

cs.CV2023

DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation

Yueming Lyu, Tianwei Lin, Fu Li +3

Text-driven image manipulation remains challenging in training or inference flexibility. Conditional generative models depend heavily on expensive annotated training data. Meanwhil…