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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 2025 · cs.CVShow all

12 papers · 2 filters

cs.CV2025

Content Adaptive based Motion Alignment Framework for Learned Video Compression

Tiange Zhang, Xiandong Meng, Siwei Ma

Recent advances in end-to-end video compression have shown promising results owing to their unified end-to-end learning optimization. However, such generalized frameworks often lac…

cs.CV2025

L-STEC: Learned Video Compression with Long-term Spatio-Temporal Enhanced Context

Tiange Zhang, Zhimeng Huang, Xiandong Meng +3

Neural Video Compression has emerged in recent years, with condition-based frameworks outperforming traditional codecs. However, most existing methods rely solely on the previous f…

cs.CV2025

Generative Neural Video Compression via Video Diffusion Prior

Qi Mao, Hao Cheng, Tinghan Yang +2

We present GNVC-VD, the first DiT-based generative neural video compression framework built upon an advanced video generation foundation model, where spatio-temporal latent compres…

cs.CV2025

Deeply-Conditioned Image Compression via Self-Generated Priors

Zhineng Zhao, Zhihai He, Zikun Zhou +2

Learned image compression (LIC) has shown great promise for achieving high rate-distortion performance. However, current LIC methods are often limited in their capability to model…

cs.CV2025★ 2 cited

HGC-Avatar: Hierarchical Gaussian Compression for Streamable Dynamic 3D Avatars

Haocheng Tang, Ruoke Yan, Xinhui Yin +5

Recent advances in 3D Gaussian Splatting (3DGS) have enabled fast, photorealistic rendering of dynamic 3D scenes, showing strong potential in immersive communication. However, in d…

cs.CV2025

MAFS: Masked Autoencoder for Infrared-Visible Image Fusion and Semantic Segmentation

Liying Wang, Xiaoli Zhang, Chuanmin Jia +1

Infrared-visible image fusion methods aim at generating fused images with good visual quality and also facilitate the performance of high-level tasks. Indeed, existing semantic-dri…