Resolution-expandable neural network for generative video compression

A video encoding method, comprising:

• encoding an image bitstream comprising coded information for a key frame of a video sequence, wherein the image bitstream is decodable to reconstruct the key frame;
• and
• encoding a feature bitstream comprising coded information for extracted features of one or more inter frames of the video sequence,
• wherein features of a reconstructed key frame and the features of the one or more inter frames encoded in the feature bitstream are used to generate dense motion information and occlusion information for resampling the reconstructed key frame by a neural network,
• wherein the neural network reconstructs the video sequence by adjusting a network width and a network depth in response to an input resolution.

A method of storing an image bitstream and a feature bitstream, the method comprising:

• generating an image bitstream and a feature bitstream based on a video sequence, wherein the image bitstream comprises coded information for reconstructing a key frame of the video sequence and obtaining extracted features of the reconstructed key frame, and the feature bitstream comprises coded information for obtaining extracted features of one or more inter frames of the video sequence;
• and
• storing the image bitstream and the feature bitstream in at least one non-transitory computer-readable medium,
• wherein the video sequence is to be reconstructed by a neural network that resamples the reconstructed key frame, the neural network adjusting a network width and a network depth in response to an input resolution.