DyMoS rebalances self-attention from generated frames to the reference frame in initial denoising steps of image-to-video models to reduce reference dominance and improve motion without training or fidelity loss.
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Rebalancing Reference Frame Dominance to Improve Motion in Image-to-Video Models
DyMoS rebalances self-attention from generated frames to the reference frame in initial denoising steps of image-to-video models to reduce reference dominance and improve motion without training or fidelity loss.