Neural image and video codecs achieve competitive rate-distortion performance. However, they have a series of practical limitations, such as relying on heavy models, that
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Mix and match networks
We recently explored how we can take multiple seen image-to-image translators and reuse them to infer other unseen translations, in an approach we call
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