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

Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models arXiv:2605.19398v3 Announce Type: replace Abstract: Image-to-video models often generate videos that remain overly static, compared to text-to-video models. While prior approaches mitigate this issue by weakening or modifying the image-conditioning signal, they often require additional training or sacrifice fidelity to the reference image. In this work, we identify reference-frame dominance as a key mechanism behin