RDEIC: Accelerating Diffusion-Based Extreme Image Compression with Relay Residual Diffusion
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Zhiyuan, Zhou, Yanhui, Wei, Hao, Ge, Chenyang, Mian, Ajmal |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
by: Li, Zhiyuan, et al.
Published: (2024)
by: Li, Zhiyuan, et al.
Published: (2024)
Traditional Transformation Theory Guided Model for Learned Image Compression
by: Li, Zhiyuan, et al.
Published: (2024)
by: Li, Zhiyuan, et al.
Published: (2024)
DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
by: Zhang, Xiaoge, et al.
Published: (2024)
by: Zhang, Xiaoge, et al.
Published: (2024)
A Lightweight Model for Perceptual Image Compression via Implicit Priors
by: Wei, Hao, et al.
Published: (2025)
by: Wei, Hao, et al.
Published: (2025)
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
by: Ke, Anle, et al.
Published: (2025)
by: Ke, Anle, et al.
Published: (2025)
StableCodec: Taming One-Step Diffusion for Extreme Image Compression
by: Zhang, Tianyu, et al.
Published: (2025)
by: Zhang, Tianyu, et al.
Published: (2025)
Extreme Video Compression with Pre-trained Diffusion Models
by: Li, Bohan, et al.
Published: (2024)
by: Li, Bohan, et al.
Published: (2024)
One-Step Diffusion-Based Image Compression with Semantic Distillation
by: Xue, Naifu, et al.
Published: (2025)
by: Xue, Naifu, et al.
Published: (2025)
A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
by: Du, Zhenyu, et al.
Published: (2026)
by: Du, Zhenyu, et al.
Published: (2026)
Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression
by: Zhou, Chuqin, et al.
Published: (2024)
by: Zhou, Chuqin, et al.
Published: (2024)
Timestep-Aware Diffusion Model for Extreme Image Rescaling
by: Wang, Ce, et al.
Published: (2024)
by: Wang, Ce, et al.
Published: (2024)
Lossy Image Compression with Foundation Diffusion Models
by: Relic, Lucas, et al.
Published: (2024)
by: Relic, Lucas, et al.
Published: (2024)
DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
by: Shi, Junqi, et al.
Published: (2026)
by: Shi, Junqi, et al.
Published: (2026)
COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation
by: Zhang, Ziyuan, et al.
Published: (2024)
by: Zhang, Ziyuan, et al.
Published: (2024)
Adversarial Diffusion Compression for Real-World Image Super-Resolution
by: Chen, Bin, et al.
Published: (2024)
by: Chen, Bin, et al.
Published: (2024)
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
by: Li, Junhui, et al.
Published: (2024)
by: Li, Junhui, et al.
Published: (2024)
R$^3$D: Regional-guided Residual Radar Diffusion
by: Li, Hao, et al.
Published: (2026)
by: Li, Hao, et al.
Published: (2026)
DLF: Extreme Image Compression with Dual-generative Latent Fusion
by: Xue, Naifu, et al.
Published: (2025)
by: Xue, Naifu, et al.
Published: (2025)
Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
by: Zhu, Jian, et al.
Published: (2025)
by: Zhu, Jian, et al.
Published: (2025)
Single-step Diffusion for Image Compression at Ultra-Low Bitrates
by: Park, Chanung, et al.
Published: (2025)
by: Park, Chanung, et al.
Published: (2025)
HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression
by: Lu, Lei, et al.
Published: (2024)
by: Lu, Lei, et al.
Published: (2024)
Generative Preprocessing for Image Compression with Pre-trained Diffusion Models
by: Guo, Mengxi, et al.
Published: (2025)
by: Guo, Mengxi, et al.
Published: (2025)
Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging
by: Huang, Shaoguang, et al.
Published: (2024)
by: Huang, Shaoguang, et al.
Published: (2024)
High Frequency Matters: Uncertainty Guided Image Compression with Wavelet Diffusion
by: Song, Juan, et al.
Published: (2024)
by: Song, Juan, et al.
Published: (2024)
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
by: Ren, Yulin, et al.
Published: (2024)
by: Ren, Yulin, et al.
Published: (2024)
Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach
by: Guo, Sha, et al.
Published: (2024)
by: Guo, Sha, et al.
Published: (2024)
Leveraging Diffusion Knowledge for Generative Image Compression with Fractal Frequency-Aware Band Learning
by: Zhu, Lingyu, et al.
Published: (2025)
by: Zhu, Lingyu, et al.
Published: (2025)
AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
by: Xie, Rui, et al.
Published: (2024)
by: Xie, Rui, et al.
Published: (2024)
One-Step Effective Diffusion Network for Real-World Image Super-Resolution
by: Wu, Rongyuan, et al.
Published: (2024)
by: Wu, Rongyuan, et al.
Published: (2024)
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion
by: Wang, Hao, et al.
Published: (2025)
by: Wang, Hao, et al.
Published: (2025)
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
by: Wu, Zongliang, et al.
Published: (2023)
by: Wu, Zongliang, et al.
Published: (2023)
Lossy Compression with Pretrained Diffusion Models
by: Vonderfecht, Jeremy, et al.
Published: (2025)
by: Vonderfecht, Jeremy, et al.
Published: (2025)
TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement
by: Li, Yi, et al.
Published: (2025)
by: Li, Yi, et al.
Published: (2025)
Accelerating Diffusion for SAR-to-Optical Image Translation via Adversarial Consistency Distillation
by: Bai, Xinyu, et al.
Published: (2024)
by: Bai, Xinyu, et al.
Published: (2024)
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image Restoration
by: Zhang, Ruicheng, et al.
Published: (2025)
by: Zhang, Ruicheng, et al.
Published: (2025)
Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
by: Fu, Haisheng, et al.
Published: (2021)
by: Fu, Haisheng, et al.
Published: (2021)
Diffusion-based Data Augmentation for Nuclei Image Segmentation
by: Yu, Xinyi, et al.
Published: (2023)
by: Yu, Xinyi, et al.
Published: (2023)
A Lightweight GAN-Based Image Fusion Algorithm for Visible and Infrared Images
by: Wu, Zhizhong, et al.
Published: (2024)
by: Wu, Zhizhong, et al.
Published: (2024)
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression
by: Bai, Yuanchao, et al.
Published: (2022)
by: Bai, Yuanchao, et al.
Published: (2022)
Similar Items
-
Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior
by: Li, Zhiyuan, et al.
Published: (2024) -
Traditional Transformation Theory Guided Model for Learned Image Compression
by: Li, Zhiyuan, et al.
Published: (2024) -
DiffCom: Decoupled Sparse Priors Guided Diffusion Compression for Point Clouds
by: Zhang, Xiaoge, et al.
Published: (2024) -
A Lightweight Model for Perceptual Image Compression via Implicit Priors
by: Wei, Hao, et al.
Published: (2025) -
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
by: Ke, Anle, et al.
Published: (2025)