END-TO-END DEEP GENERATIVE NETWORK FOR LOW BITRATE IMAGE CODING

    公开(公告)号:US20240185473A1

    公开(公告)日:2024-06-06

    申请号:US17969551

    申请日:2022-10-19

    IPC分类号: G06T9/00

    CPC分类号: G06T9/002

    摘要: A neural network system, a method and an apparatus for image compression are provided. The neural network may include a generator including an encoder, an entropy estimator, and a decoder, where the encoder receives an input image and generates an encoder output, a plurality of quantized feature entries are obtained based on the encoder output outputted at a last encoder block, the entropy estimator receives the plurality of quantized feature entries and calculates an entropy loss based on the plurality of quantized feature entries, and the decoder receives the plurality of quantized feature entries and generates a reconstructed image. Furthermore, the neural network may include a discriminator that determines whether the reconstructed image different from the input image based on a discriminator loss. Moreover, the generator may determine whether content of the reconstructed image matches content of the input image based on a generator loss including the entropy loss.