Cover Image

Semantically Structured Image Compression via Irregular Group-Based Decoupling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Ruoyu, Gao, Yixin, Jin, Xin, Feng, Runsen, Chen, Zhibo
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UniMIC: Towards Universal Multi-modality Perceptual Image Compression
by: Gao, Yixin, et al.
Published: (2024)

Towards Defining an Efficient and Expandable File Format for AI-Generated Contents
by: Gao, Yixin, et al.
Published: (2024)

Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
by: Liu, Jinming, et al.
Published: (2024)

SeD: Semantic-Aware Discriminator for Image Super-Resolution
by: Li, Bingchen, et al.
Published: (2024)

Conditional Neural Video Coding with Spatial-Temporal Super-Resolution
by: Wang, Henan, et al.
Published: (2024)

Light Field Compression Based on Implicit Neural Representation
by: Wang, Henan, et al.
Published: (2024)

Soft then Hard: Rethinking the Quantization in Neural Image Compression
by: Guo, Zongyu, et al.
Published: (2021)

Customizable ROI-Based Deep Image Compression
by: Jin, Jian, et al.
Published: (2025)

Semantics Disentanglement and Composition for Universal Image Coding with Efficiently LLM Reasoning and Generative Diffusion
by: Liu, Jinming, et al.
Published: (2024)

Enhancing Underwater Images via Adaptive Semantic-aware Codebook Learning
by: Lin, Bosen, et al.
Published: (2026)

Q&C: When Quantization Meets Cache in Efficient Image Generation
by: Ding, Xin, et al.
Published: (2025)

DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
by: Zhang, Xiaoge, et al.
Published: (2024)

Image Quality Assessment With Compressed Sampling
by: Liao, Ronghua, et al.
Published: (2024)

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
by: Ren, Yulin, et al.
Published: (2024)

GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
by: Li, Daxin, et al.
Published: (2024)

One-Step Diffusion-Based Image Compression with Semantic Distillation
by: Xue, Naifu, et al.
Published: (2025)

Hybrid Agents for Image Restoration
by: Li, Bingchen, et al.
Published: (2025)

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)

Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
by: Ke, Anle, et al.
Published: (2025)

MLIC: Multi-Reference Entropy Model for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2022)

MLIC++: Linear Complexity Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2023)

Enhancing Learned Image Compression via Cross Window-based Attention
by: Mudgal, Priyanka, et al.
Published: (2024)

Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
by: Lorenzana, Marlon Bran, et al.
Published: (2023)

Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation
by: Gao, Feng, et al.
Published: (2025)

SG-JND: Semantic-Guided Just Noticeable Distortion Predictor For Image Compression
by: Cao, Linhan, et al.
Published: (2024)

QMamba: On First Exploration of Vision Mamba for Image Quality Assessment
by: Guan, Fengbin, et al.
Published: (2024)

Joint Lossless Compression and Steganography for Medical Images via Large Language Models
by: Zheng, Pengcheng, et al.
Published: (2025)

Uni-LVC: A Unified Method for Intra- and Inter-Mode Learned Video Compression
by: Zhang, Yichi, et al.
Published: (2026)

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
by: Li, Haoyue, et al.
Published: (2025)

Coarse-to-Fine: Progressive Image Compression for Semantically Hierarchical Classification
by: Kim, Jungwoo, et al.
Published: (2026)

A Joint Visual Compression and Perception Framework for Neuralmorphic Spiking Camera
by: Feng, Kexiang, et al.
Published: (2025)

Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
by: Cui, Wenxue, et al.
Published: (2024)

Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
by: Xing, Qunliang, et al.
Published: (2024)

High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
by: Song, Juan, et al.
Published: (2024)

Lossy Compression with Pretrained Diffusion Models
by: Vonderfecht, Jeremy, et al.
Published: (2025)

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding
by: Jin, Zhenyu, et al.
Published: (2025)

Spatio-Temporal Representation Decoupling and Enhancement for Federated Instrument Segmentation in Surgical Videos
by: Fang, Zheng, et al.
Published: (2025)

WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing
by: Han, Kai, et al.
Published: (2024)

End-to-End Semantic Preservation in Text-Aware Image Compression Systems
by: Della Fiore, Stefano, et al.
Published: (2025)

TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling
by: Feng, Xinmin, et al.
Published: (2026)