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20122026
most citedImage and Video Compression with Neural Networks: A Review

462 citations · 1.9k across the 105 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

cs.CV2023

Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision

Qi Mao, Chongyu Wang, Meng Wang +4

The accelerated proliferation of visual content and the rapid development of machine vision technologies bring significant challenges in delivering visual data on a gigantic scale,…

eess.IV2023★ 1 cited

Spatial-Temporal Transformer based Video Compression Framework

Yanbo Gao, Wenjia Huang, Shuai Li +3

Learned video compression (LVC) has witnessed remarkable advancements in recent years. Similar as the traditional video coding, LVC inherits motion estimation/compensation, residua…

cs.MM2023

MPAI-EEV: Standardization Efforts of Artificial Intelligence based End-to-End Video Coding

Chuanmin Jia, Feng Ye, Fanke Dong +5

The rapid advancement of artificial intelligence (AI) technology has led to the prioritization of standardizing the processing, coding, and transmission of video using neural netwo…

cs.CV2023

Extreme Image Compression using Fine-tuned VQGANs

Qi Mao, Tinghan Yang, Yinuo Zhang +4

Recent advances in generative compression methods have demonstrated remarkable progress in enhancing the perceptual quality of compressed data, especially in scenarios with low bit…

cs.CV2023★ 2 cited

SpikeCodec: An End-to-end Learned Compression Framework for Spiking Camera

Kexiang Feng, Chuanmin Jia, Siwei Ma +1

Recently, the bio-inspired spike camera with continuous motion recording capability has attracted tremendous attention due to its ultra high temporal resolution imaging characteris…

cs.CV2023★ 2 cited

Optimization-Inspired Cross-Attention Transformer for Compressive Sensing

Jiechong Song, Chong Mou, Shiqi Wang +2

By integrating certain optimization solvers with deep neural networks, deep unfolding network (DUN) with good interpretability and high performance has attracted growing attention…