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cs.CV2024
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models
Zijian He, Peixin Chen, Guangrun Wang +3
Video virtual try-on aims to generate realistic sequences that maintain garment identity and adapt to a person's pose and body shape in source videos. Traditional image-based metho…
cs.CV2024
AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment
Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang +4
Recent video editing advancements rely on accurate pose sequences to animate subjects. However, these efforts are not suitable for cross-species animation due to pose misalignment…