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cs.CV2025
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
Hengjia Li, Lifan Jiang, Xi Xiao +4
Video identity customization seeks to produce high-fidelity videos that maintain consistent identity and exhibit significant dynamics based on users' reference images. However, exi…
cs.CV2025
VidSketch: Hand-drawn Sketch-Driven Video Generation with Diffusion Control
Lifan Jiang, Shuang Chen, Boxi Wu +2
With the advancement of generative artificial intelligence, previous studies have achieved the task of generating aesthetic images from hand-drawn sketches, fulfilling the public's…
cs.CV2025
HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment
Lifan Jiang, Boxi Wu, Jiahui Zhang +2
With the rapid development of AIGC technology, significant progress has been made in diffusion model-based technologies for text-to-image (T2I) and text-to-video (T2V). In recent y…