Deep Render Ltd.

Huawei Technologies Co., Limited

Tom Ryder

Arsalan Zafar

Alexander Lytchier

Chri Besenbruch

Jan Xu

Christopher Finlay

Jonathan Rayner

Aleksandar Cherganski

Zhenguo Li

Shifeng Zhang

This application relates to the field of artificial intelligence, and discloses a data encoding method, a data decoding method, and data processing apparatuses. Both the data encoding method and the data decoding method relate to an invertible flow-based model. The invertible flow-based model includes a target invertible flow layer, a model parameter of the target invertible flow layer is used to constrain an auxiliary variable generated in an inverse transform processing process, an operation corresponding to the target invertible flow layer includes a multiplication operation and a division operation that are determined based on the model parameter, and the auxiliary variable is an increment of a product of the multiplication operation or a remainder generated through the division operation.

Data encoding method, data decoding method, and data processing apparatus

Lossy or lossless compression and transmission, comprising the steps of: (i) receiving an input image; (ii) encoding it to produce a y latent representation; (iii) encoding the y latent representation to produce a z hyperlatent representation; (iv) quantizing the z hyperlatent representation to produce a quantized z hyperlatent representation; (v) entropy encoding the quantized z hyperlatent representation into a first bitstream, (vi) processing the quantized z hyperlatent representation to obtain a location entropy parameter &#x3bc;y, an entropy scale parameter &#x3c3;y, and a context matrix Ay of the y latent representation; (vii) processing the y latent representation, the location entropy parameter &#x3bc;y and the context matrix Ay, to obtain quantized latent residuals; (viii) entropy encoding the quantized latent residuals into a second bitstream; and (ix) transmitting the bitstreams.

Image encoding and decoding, video encoding and decoding: methods, systems and training methods

Lossy or lossless compression and transmission, comprising the steps of: (i) receiving an input image; (ii) encoding it to produce a y latent representation; (iii) encoding the y latent representation to produce a z hyperlatent representation; (iv) quantizing the z hyperlatent representation to produce a quantized z hyperlatent representation; (v) entropy encoding the quantized z hyperlatent representation into a first bitstream, (vi) processing the quantized z hyperlatent representation to obtain a location entropy parameter &#x3bc;, an entropy scale parameter &#x3c3;y, and a context matrix Aof the y latent representation; (vii) processing the y latent representation, the location entropy parameter &#x3bc;and the context matrix A, to obtain quantized latent residuals; (viii) entropy encoding the quantized latent residuals into a second bitstream; and (ix) transmitting the bitstreams.

Lossy or lossless compression and transmission, comprising the steps of: (i) receiving an input image; (ii) encoding it using an encoder trained neural network, to produce a y latent representation; (iii) encoding the y latent representation using a hyperencoder trained neural network, to produce a z hyperlatent representation; (iv) quantizing the z hyperlatent representation using a predetermined entropy parameter to produce a quantized z hyperlatent representation; (v) entropy encoding the quantized z hyperlatent representation into a first bitstream, using predetermined entropy parameters; (vi) processing the quantized z hyperlatent representation using a hyperdecoder trained neural network to obtain a location entropy parameter &#x3bc;, an entropy scale parameter &#x3c3;, and a context matrix Aof the y latent representation; (vii) processing the y latent representation, the location entropy parameter &#x3bc;and the context matrix A, to obtain quantized latent residuals; (viii) entropy encoding the quantized latent residuals into a second bitstream, using the entropy scale parameter &#x3c3;; and (ix) transmitting the bitstreams.

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London, United Kingdom

Tom Ryder