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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 2023 · cs.CVShow all

6 papers · 2 filters

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,…

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…

cs.CV2023★ 8 cited

Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation

Wenkang Shan, Zhenhua Liu, Xinfeng Zhang +5

In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic 3D huma…

cs.CV2023

Learning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis

Chuanmin Jia, Feng Ye, Huifang Sun +2

During the past decade, the Unmanned-Aerial-Vehicles (UAVs) have attracted increasing attention due to their flexible, extensive, and dynamic space-sensing capabilities. The volume…