Multi-sample training for neural image compression

[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Learned image transmission with hierarchical variational autoencoder

G Zhang, H Li, Y Cai, Q Hu, G Yu, R Zhang - arxiv preprint arxiv …, 2024 - arxiv.org
In this paper, we introduce an innovative hierarchical joint source-channel coding (HJSCC)
framework for image transmission, utilizing a hierarchical variational autoencoder (VAE) …
保存 引用 被引用次数：2 相关文章 所有 3 个版本 HTML 版
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

FLLIC: Functionally Lossless Image Compression

X Zhang, X Wu - arxiv preprint arxiv:2401.13616, 2024 - arxiv.org
Recently, DNN models for lossless image coding have surpassed their traditional
counterparts in compression performance, reducing the bit rate by about ten percent for …
保存 引用 被引用次数：1 相关文章 所有 2 个版本 HTML 版
[Free GPT-4]
[DeepSeek]
[PDF] arxiv.org

Recursive Learning of Asymptotic Variational Objectives

A Mastrototaro, M Müller, J Olsson - arxiv preprint arxiv:2411.02217, 2024 - arxiv.org
General state-space models (SSMs) are widely used in statistical machine learning and are
among the most classical generative models for sequential time-series data. SSMs …
保存 引用 相关文章 所有 4 个版本 HTML 版