Cover Image

Stable Diffusion is a Natural Cross-Modal Decoder for Layered AI-generated Image Compression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Ruijie, Mao, Qi, Cheng, Zhengxue
Format:	Preprint
Published:	2024
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

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
by: Zhou, Chuqin, et al.
Published: (2024)

Large Language Model for Lossless Image Compression with Visual Prompts
by: Du, Junhao, et al.
Published: (2025)

StableCodec: Taming One-Step Diffusion for Extreme Image Compression
by: Zhang, Tianyu, et al.
Published: (2025)

A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
by: Du, Zhenyu, et al.
Published: (2026)

PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging
by: Meng, Ge, et al.
Published: (2025)

VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression
by: Hu, Qiang, et al.
Published: (2024)

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

Adversarial Diffusion Compression for Real-World Image Super-Resolution
by: Chen, Bin, et al.
Published: (2024)

Semantic and Temporal Integration in Latent Diffusion Space for High-Fidelity Video Super-Resolution
by: Wang, Yiwen, et al.
Published: (2025)

cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis
by: Friedrich, Paul, et al.
Published: (2024)

Lossy Image Compression with Foundation Diffusion Models
by: Relic, Lucas, et al.
Published: (2024)

COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation
by: Zhang, Ziyuan, et al.
Published: (2024)

DLF: Extreme Image Compression with Dual-generative Latent Fusion
by: Xue, Naifu, et al.
Published: (2025)

Decoder-Only Image Registration
by: Jia, Xi, et al.
Published: (2024)

Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
by: Huang, Shaoguang, et al.
Published: (2024)

Cross-conditioned Diffusion Model for Medical Image to Image Translation
by: Xing, Zhaohu, et al.
Published: (2024)

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion
by: Yan, Zhiqiang, et al.
Published: (2024)

Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning
by: Zhu, Lingyu, et al.
Published: (2025)

RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion
by: Li, Zhiyuan, et al.
Published: (2024)

Diffusion Attack: Leveraging Stable Diffusion for Naturalistic Image Attacking
by: Guo, Qianyu, et al.
Published: (2024)

FIPER: Factorized Features for Robust Image Super-Resolution and Compression
by: Sun, Yang-Che, et al.
Published: (2024)

An Enhanced Encoder-Decoder Network Architecture for Reducing Information Loss in Image Semantic Segmentation
by: Gao, Zijun, et al.
Published: (2024)

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

PASTA: Pathology-Aware MRI to PET Cross-Modal Translation with Diffusion Models
by: Li, Yitong, et al.
Published: (2024)

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

Single-step Diffusion for Image Compression at Ultra-Low Bitrates
by: Park, Chanung, et al.
Published: (2025)

DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
by: Shi, Junqi, et al.
Published: (2026)

Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
by: Ma, Yiyang, et al.
Published: (2024)

Diffusion based Zero-shot Medical Image-to-Image Translation for Cross Modality Segmentation
by: Wang, Zihao, et al.
Published: (2024)

WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
by: Mao, Yu, et al.
Published: (2025)

Approximately Invertible Neural Network for Learned Image Compression
by: Gao, Yanbo, et al.
Published: (2024)

Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
by: Li, Zhiyuan, et al.
Published: (2024)

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

Bridging Modalities: Joint Synthesis and Registration Framework for Aligning Diffusion MRI with T1-Weighted Images
by: Wang, Xiaofan, et al.
Published: (2026)

Point Cloud-Assisted Neural Image Compression
by: Li, Ziqun, et al.
Published: (2024)

DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction
by: Zhou, Junjie, et al.
Published: (2025)

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

Feasibility Study of a Diffusion-Based Model for Cross-Modal Generation of Knee MRI from X-ray: Integrating Radiographic Feature Information
by: Wang, Zhe, et al.
Published: (2024)

ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
by: Yavari, Sara, et al.
Published: (2025)

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
by: Wu, Zongliang, et al.
Published: (2023)