Author

S. Park

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#artificial intelligence Preprint Sep 2026

WeLike2Party! In-Context Motion Transfer for Multi-Human Image Animation

Human image animation aims to transfer motion from a driving video to subjects in a reference image. Despite remarkable progress in video generation, achieving high-fidelity animation of multiple interacting subjects remains a challenge. Many existing approaches rely on explicit motion representations such as 2D skelet...

Sangeyl Lee, Seunghyun Shin, S. Park et al. · 0 citations

#artificial intelligence May 2026

Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models

DyMoS (Dynamic Motion Slider), a training-free and model-agnostic method that rebalances the attention pathway from generated frames to the reference frame during initial denoising steps, is proposed and demonstrated to improve motion dynamics while maintaining visual quality and fidelity to the reference image.

Wooseok Jeon, S. Park, Seunghyun Shin et al. · arXiv.org · 2 citations