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Video Interpolation with Diffusion Models
April 2, 2024, 7:48 p.m. | Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Ho{\l}y\'nski, Ben Poole, Janne Kontkanen
cs.CV updates on arXiv.org arxiv.org
Abstract: We present VIDIM, a generative model for video interpolation, which creates short videos given a start and end frame. In order to achieve high fidelity and generate motions unseen in the input data, VIDIM uses cascaded diffusion models to first generate the target video at low resolution, and then generate the high-resolution video conditioned on the low-resolution generated video. We compare VIDIM to previous state-of-the-art methods on video interpolation, and demonstrate how such works fail …
abstract arxiv cs.cv data diffusion diffusion models fidelity generate generative low resolution type video videos
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