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Variable Rate Image Compression with Recurrent Neural Networks.

, , , , , , , и . ICLR (Poster), (2016)

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David Minnen

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Baruch Davidoff

 

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Variable Rate Image Compression with Recurrent Neural Networks., , , , , , , и . ICLR (Poster), (2016)Integer Networks for Data Compression with Latent-Variable Models., , и . ICLR (Poster), OpenReview.net, (2019)Nonlinear Transform Coding., , , , , , , и . IEEE J. Sel. Top. Signal Process., 15 (2): 339-353 (2021)Language Model Beats Diffusion - Tokenizer is Key to Visual Generation., , , , , , , , , и 5 other автор(ы). CoRR, (2023)Detecting Subdimensional Motifs: An Efficient Algorithm for Generalized Multivariate Pattern Discovery., , , и . ICDM, стр. 601-606. IEEE Computer Society, (2007)Towards Generative Video Compression., , , , , и . CoRR, (2021)VideoPoet: A Large Language Model for Zero-Shot Video Generation., , , , , , , , , и 21 other автор(ы). CoRR, (2023)Scale-Space Flow for End-to-End Optimized Video Compression., , , , , и . CVPR, стр. 8500-8509. Computer Vision Foundation / IEEE, (2020)Neural Video Compression using GANs for Detail Synthesis and Propagation, , , , , и . (2021)Channel-Wise Autoregressive Entropy Models for Learned Image Compression., и . ICIP, стр. 3339-3343. IEEE, (2020)