Abstract: Computer vision advancements allow motion transfer for animating static objects in images. However, current methods rely on manually collected motion labels and struggle with accurate shape ...
This project brings static images to life by animating them using motion patterns from a driving video, powered by deepfake generation techniques. Based on the First Order Motion Model for Image ...
Abstract: Diffusion models have achieved significant progress in the task of image animation due to their powerful generative capabilities. However, preserving appearance consistency to the static ...
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