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05/30/2023
Compression with Bayesian Implicit Neural Representations
Many common types of data can be represented as functions that map coord...
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05/25/2023
NVTC: Nonlinear Vector Transform Coding
In theory, vector quantization (VQ) is always better than scalar quantiz...
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05/12/2023
Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression
Despite a short history, neural image codecs have been shown to surpass ...
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01/21/2023
Versatile Neural Processes for Learning Implicit Neural Representations
Representing a signal as a continuous function parameterized by neural n...
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07/05/2022
Image Coding for Machines with Omnipotent Feature Learning
Image Coding for Machines (ICM) aims to compress images for AI tasks ana...
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12/26/2021
Learning Cross-Scale Prediction for Efficient Neural Video Compression
In this paper, we present the first neural video codec that can compete ...
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11/05/2021
Versatile Learned Video Compression
Learned video compression methods have demonstrated great promise in cat...
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11/19/2020
Latent-Separated Global Prediction for Learned Image Compression
Over the past several years, we have witnessed the impressive progress o...
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11/23/2019