Cover Image

One-Step Diffusion-Based Image Compression with Semantic Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xue, Naifu, Jia, Zhaoyang, Li, Jiahao, Li, Bin, Zhang, Yuan, Lu, Yan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Generative Latent Coding for Ultra-Low Bitrate Image Compression
by: Jia, Zhaoyang, et al.
Published: (2025)

Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression
by: Qi, Linfeng, et al.
Published: (2025)

Generative Latent Video Compression
by: Guo, Zongyu, et al.
Published: (2025)

Towards Practical Real-Time Neural Video Compression
by: Jia, Zhaoyang, et al.
Published: (2025)

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

Neural Video Compression with Feature Modulation
by: Li, Jiahao, et al.
Published: (2024)

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

Uncertainty-Aware Deep Video Compression with Ensembles
by: Ma, Wufei, et al.
Published: (2024)

Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer
by: Xue, Naifu, et al.
Published: (2024)

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

OSDM-MReg: Multimodal Image Registration based One Step Diffusion Model
by: Wei, Xiaochen, et al.
Published: (2025)

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

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

One-Step Effective Diffusion Network for Real-World Image Super-Resolution
by: Wu, Rongyuan, et al.
Published: (2024)

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

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

DiffVC-OSD: One-Step Diffusion-based Perceptual Neural Video Compression Framework
by: Ma, Wenzhuo, et al.
Published: (2025)

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

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

OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
by: Guo, Jinpei, et al.
Published: (2025)

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

FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution
by: Wang, Zhaoyang, et al.
Published: (2025)

Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic Inference
by: Zhang, Xu, et al.
Published: (2025)

Embodied Image Compression
by: Li, Chunyi, et al.
Published: (2025)

From Noise to Latent: Generating Gaussian Latents for INR-Based Image Compression
by: Lin, Chaoyi, et al.
Published: (2025)

Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution
by: Zhang, Tianyi, et al.
Published: (2025)

Semantically Structured Image Compression via Irregular Group-Based Decoupling
by: Feng, Ruoyu, et al.
Published: (2023)

Generative Preprocessing for Image Compression with Pre-trained Diffusion Models
by: Guo, Mengxi, et al.
Published: (2025)

Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000
by: Li, Xinyue, et al.
Published: (2024)

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
by: Li, Junhui, et al.
Published: (2024)

Unicorn: Unified Neural Image Compression with One Number Reconstruction
by: Zheng, Qi, et al.
Published: (2024)

CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
by: Li, Runyi, et al.
Published: (2025)

GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution
by: Arora, Aditya, et al.
Published: (2025)

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

Unsupervised Tumor-Aware Distillation for Multi-Modal Brain Image Translation
by: Huang, Chuan, et al.
Published: (2024)

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

Co-learning Single-Step Diffusion Upsampler and Downsampler with Two Discriminators and Distillation
by: Kim, Sohwi, et al.
Published: (2024)

Generalized Gaussian Model for Learned Image Compression
by: Zhang, Haotian, et al.
Published: (2024)

Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression
by: Li, Daxin, et al.
Published: (2024)