METHOD FOR TRAINING A SINGLE NON-SYMMETRIC DECODER FOR LEARNING-BASED CODECS
A method for creating a non-symmetric codec architecture where a single decoder is able to decode the latent representations produced by different neural encoders. Being a single general decoder, the codec generated does not require multiple symmetric decoders, which saves a large amount of disk spa...
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