Sanghun Kim

Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation

We introduce a method to generate temporally coherent human animation from a single image, a video, or a random noise. This problem has been formulated as modeling of an auto-regressive generation, i.e., to regress past frames to decode future frames. However, such unidirectional generation is highl…