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

2 citations · 4 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Recasting DiT for Extreme Image Compression with Hierarchical Visual Priors

Yunuo Chen, Jingnan Gao, Bing He +6

Pretrained diffusion models provide powerful generative priors for extreme image compression, but their stochastic, iterative generation processes are not designed to decode compre…

cs.CV2026

Visual Token Codec: Unleashing Spatial Redundancy for ViT Feature Coding

Donghui Feng, Fengxi Zhang, Changsheng Gao +6

Distributed deployment of large vision foundation models often partitions a ViT backbone and exchanges intermediate token features between computing nodes, making efficient feature…

cs.IT2026

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications

Tong Wu, Zhiyong Chen, Guo Lu +4

Conventional communication systems, including both separation-based coding and learning-based joint source-channel coding (JSCC), are typically designed under Shannon's rate-distor…

cs.LG2026

OmniZip: Learning a Unified and Lightweight Lossless Compressor for Multi-Modal Data

Yan Zhao, Zhengxue Cheng, Junxuan Zhang +4

Lossless compression is essential for efficient data storage and transmission. Although learning-based lossless compressors achieve strong results, most of them are designed for a…

cs.CV2026

SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors

Bing He, Jingnan Gao, Yunuo Chen +5

Reconstructing 3D scenes from sparse images remains a challenging task due to the difficulty of recovering accurate geometry and texture without optimization. Recent approaches lev…