activity
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

collaborators

112 papers

cs.AI2026

CoViST: Visual Token Compression via Composable States

Qi Zhang, Xiandong Meng, Ronggang Wang +1

Visual token compression lowers the inference cost of vision--language models by representing images with fewer tokens. However, most existing methods compress visual tokens to a r…

cs.AI2026

PhiFold: Towards Dynamic Protein Design with Physics-Structured Covariance Modeling

Yutian Liu, Mujie Lin, LanqianZhang +4

Protein design is moving beyond structural correctness toward function-aware design, yet existing generative models typically treat dynamics as a downstream property estimated thro…

cs.CV2026

CodecArena: Codec Quality Assessment via Visual Reinforcement Learning

Jiaye Fu, Weiqi Li, Qiankun Gao +5

Video coding is advancing into the low and ultra-low bitrate regime, driven by end-to-end codecs that replace the hand-crafted pipeline with jointly optimized neural networks and g…

cs.CV2026

Overview of Cross-Component In-loop Filters in Video Coding Standards

Zhaoyu Li, Xuewei Meng, Jiaqi Zhang +4

In-loop filters have been comprehensively explored during the development of video coding standards due to their remarkable noise-reduction capability. In the early stage of video…

cs.CV2026

LUMI: Tokenizer-Agnostic LLM-Based Lossless Image Compression

Chris Xing Tian, Chengkai Wu, Ziyu Wang +6

Large language model (LLM)-based lossless image compression methods typically represent pixel data through the native text interface of a pretrained model, converting pixel values…

cs.CV2026

Optimized Adaptive Loop Filter in Versatile Video Coding

Xuewei Meng, Jiaqi Zhang, Chuanmin Jia +3

In the Versatile Video Coding~(VVC) standard, adaptive loop filter~(ALF), including Geometry transformation-based Adaptive Loop Filter~(GALF) and Cross Component Adaptive Loop Filt…