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.