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05/26/2023
High-Fidelity Image Compression with Score-based Generative Models
Despite the tremendous success of diffusion generative models in text-to...
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04/14/2023
M2T: Masking Transformers Twice for Faster Decoding
We show how bidirectional transformers trained for masked token predicti...
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12/28/2022
Multi-Realism Image Compression with a Conditional Generator
By optimizing the rate-distortion-realism trade-off, generative compress...
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06/17/2022
Lossy Compression with Gaussian Diffusion
We describe a novel lossy compression approach called DiffC which is bas...
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06/15/2022
VCT: A Video Compression Transformer
We show how transformers can be used to vastly simplify neural video com...
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07/26/2021
Towards Generative Video Compression
We present a neural video compression method based on generative adversa...
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06/24/2020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model
The past few years have witnessed increasing interests in applying deep ...
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06/17/2020
High-Fidelity Generative Image Compression
We extensively study how to combine Generative Adversarial Networks and ...
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03/23/2020
Learning Better Lossless Compression Using Lossy Compression
We leverage the powerful lossy image compression algorithm BPG to build ...
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03/04/2020
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
The recent years have witnessed the great potential of deep learning for...
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11/30/2018
Practical Full Resolution Learned Lossless Image Compression
We propose the first practical learned lossless image compression system...
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04/09/2018
Generative Adversarial Networks for Extreme Learned Image Compression
We propose a framework for extreme learned image compression based on Ge...
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03/16/2018
Towards Image Understanding from Deep Compression without Decoding
Motivated by recent work on deep neural network (DNN)-based image compre...
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01/12/2018
Conditional Probability Models for Deep Image Compression
Deep Neural Networks trained as image auto-encoders have recently emerge...
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04/03/2017
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations
We present a new approach to learn compressible representations in deep ...
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09/26/2016
