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cs.CV2026

AGC: Adaptive Geodesic Correction for Adversarial Robustness on Vision-Language Models

Zhiwei Li, Jiacheng Xue, Weining Wang +4

Vision-language models like CLIP have demonstrated remarkable zero-shot transfer capabilities. However, their susceptibility to imperceptible adversarial perturbations remains a cr…

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

Learning Knowledge-based Prompts for Robust 3D Mask Presentation Attack Detection

Fangling Jiang, Qi Li, Bing Liu +4

3D mask presentation attack detection is crucial for protecting face recognition systems against the rising threat of 3D mask attacks. While most existing methods utilize multimoda…

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…