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20242026
most citedControllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Free-GVC: Towards Training-Free Extreme Generative Video Compression with Temporal Coherence

Xiaoyue Ling, Chuqin Zhou, Chunyi Li +4

Building on recent advances in video generation, generative video compression has emerged as a new paradigm for achieving visually pleasing reconstructions. However, existing metho…

cs.CV2026

Dual-Representation Image Compression at Ultra-Low Bitrates via Explicit Semantics and Implicit Textures

Chuqin Zhou, Xiaoyue Ling, Yunuo Chen +3

While recent neural codecs achieve strong performance at low bitrates when optimized for perceptual quality, their effectiveness deteriorates significantly under ultra-low bitrate…

q-bio.GN2025

GenDMR: A dynamic multimodal role-swapping network for identifying risk gene phenotypes

Lina Qin, Cheng Zhu, Chuqi Zhou +8

Recent studies have shown that integrating multimodal data fusion techniques for imaging and genetic features is beneficial for the etiological analysis and predictive diagnosis of…

eess.IV2025

Large Language Model for Lossless Image Compression with Visual Prompts

Junhao Du, Chuqin Zhou, Ning Cao +6

Recent advancements in deep learning have driven significant progress in lossless image compression. With the emergence of Large Language Models (LLMs), preliminary attempts have b…

eess.IV20242 cited

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression

Chuqin Zhou, Guo Lu, Jiangchuan Li +4

Neural image compression often faces a challenging trade-off among rate, distortion and perception. While most existing methods typically focus on either achieving high pixel-level…