collaborators

8 papers

cs.CV2026

Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models

Songping Wang, Yueming Lyu, Shiqi Liu +5

The rise of customized diffusion models has fueled a boom in personalized visual content creation, but it also introduces serious risks of malicious misuse, thereby posing threats…

cs.CV2026

Towards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmark

Qi Li, Weining Wang, Shuangjun Du +5

Face swapping has witnessed significant progress in recent years, largely driven by advances in deep generative models such as GANs and diffusion models.Despite these advances, exi…

cs.CV2026

DREAM: A Benchmark Study for Deepfake photoREalism AssessMent

Bo Peng, Zichuan Wang, Sheng Yu +3

Deep learning based face-swap videos, widely known as deepfakes, have drawn wide attention due to their threat to information credibility. Recent works mainly focus on the problem…

cs.CV2026

DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing

Yueming Lyu, Kang Zhao, Bo Peng +5

Text-guided image editing faces significant challenges when considering training and inference flexibility. Much literature collects large amounts of annotated image-text pairs to…

cs.CV2025

Revisiting MLLM Based Image Quality Assessment: Errors and Remedy

Zhenchen Tang, Songlin Yang, Bo Peng +2

The rapid progress of multi-modal large language models (MLLMs) has boosted the task of image quality assessment (IQA). However, a key challenge arises from the inherent mismatch b…

cs.CV2025

HandEval: Taking the First Step Towards Hand Quality Evaluation in Generated Images

Zichuan Wang, Bo Peng, Songlin Yang +2

Although recent text-to-image (T2I) models have significantly improved the overall visual quality of generated images, they still struggle in the generation of accurate details in…