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George D Toderici

2 accepted papers

2020

High-Fidelity Generative Image Compression

NeurIPS 2020oral

We extensively study how to combine Generative Adversarial Networks and learned compression to obtain a state-of-the-art generative lossy compression system. In particular, we investigate normalization layers, generator and discriminator architectures, training strategies, as well as perceptual loss…

2018

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

NeurIPS 2018poster

Recent models for learned image compression are based on autoencoders that learn approximately invertible mappings from pixels to a quantized latent representation. The transforms are combined with an entropy model, which is a prior on the latent representation that can be used with standard arithme…

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