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VideoGigaGAN: Towards detail-rich video super-resolution


VideoGigaGAN

This raises a fundamental question: can we extend the success of a generative image upsampler to the VSR task while preserving the temporal consistency? Our experiments show that, unlike previous VSR methods, VideoGigaGAN generates temporally consistent videos with more fine-grained appearance details. We validate the effectiveness of VideoGigaGAN by comparing it with state-of-the-art VSR models on public datasets and showcasing video results with 8&times super-resolution.

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