collaborators
Showing cs.CVShow all

7 papers · 1 filter

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.CV2025

3SGen: Unified Subject, Style, and Structure-Driven Image Generation with Adaptive Task-specific Memory

Xinyang Song, Libin Wang, Weining Wang +6

Recent image generation approaches often address subject, style, and structure-driven conditioning in isolation, leading to feature entanglement and limited task transferability. I…

cs.CV2025

PhysCorr: Dual-Reward DPO for Physics-Constrained Text-to-Video Generation with Automated Preference Selection

Peiyao Wang, Weining Wang, Qi Li

Recent advances in text-to-video generation have achieved impressive perceptual quality, yet generated content often violates fundamental principles of physical plausibility - mani…

cs.CV2025

UniAlignment: Semantic Alignment for Unified Image Generation, Understanding, Manipulation and Perception

Xinyang Song, Libin Wang, Weining Wang +5

The remarkable success of diffusion models in text-to-image generation has sparked growing interest in expanding their capabilities to a variety of multi-modal tasks, including ima…

cs.CV2025

Exploring Task-Solving Paradigm for Generalized Cross-Domain Face Anti-Spoofing via Reinforcement Fine-Tuning

Fangling Jiang, Qi Li, Weining Wang +3

Recently the emergence of novel presentation attacks has drawn increasing attention to face anti-spoofing. However, existing methods tend to memorize data patterns from the trainin…

cs.CV2025

Learning Unknown Spoof Prompts for Generalized Face Anti-Spoofing Using Only Real Face Images

Fangling Jiang, Qi Li, Weining Wang +3

Face anti-spoofing is a critical technology for ensuring the security of face recognition systems. However, its ability to generalize across diverse scenarios remains a significant…