Imagen de Portada

DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Shi, Junqi, Lu, Ming, Li, Xingchen, Ke, Anle, Zhang, Ruiqi, Ma, Zhan
Formato:	Preprint
Publicado:	2026
Materias:	Image and Video Processing Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

YODA: Yet Another One-step Diffusion-based Video Compressor
por: Li, Xingchen, et al.
Publicado: (2026)

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations
por: Tan, Kailin, et al.
Publicado: (2026)

FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
por: Liu, Qiqing, et al.
Publicado: (2025)

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

MambaIC: State Space Models for High-Performance Learned Image Compression
por: Zeng, Fanhu, et al.
Publicado: (2025)

High-Efficiency Neural Video Compression via Hierarchical Predictive Learning
por: Lu, Ming, et al.
Publicado: (2024)

Efficient LiDAR Reflectance Compression via Scanning Serialization
por: Zhu, Jiahao, et al.
Publicado: (2025)

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

All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation
por: Zhang, Xu, et al.
Publicado: (2024)

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

Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
por: Lu, Ming, et al.
Publicado: (2020)

Taming Diffusion Transformer for Efficient Mobile Video Generation in Seconds
por: Wu, Yushu, et al.
Publicado: (2025)

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

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification
por: Shi, Zhan, et al.
Publicado: (2024)

Efficient Visual Computing with Camera RAW Snapshots
por: Li, Zhihao, et al.
Publicado: (2022)

Towards Loss-Resilient Image Coding for Unstable Satellite Networks
por: Sha, Hongwei, et al.
Publicado: (2025)

Frequency-Aware Transformer for Learned Image Compression
por: Li, Han, et al.
Publicado: (2023)

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

Human Aligned Compression for Robust Models
por: Räber, Samuel, et al.
Publicado: (2025)

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

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation
por: Xing, Ruiqi
Publicado: (2025)

CMamba: Learned Image Compression with State Space Models
por: Wu, Zhuojie, et al.
Publicado: (2025)

On Disentangled Training for Nonlinear Transform in Learned Image Compression
por: Li, Han, et al.
Publicado: (2025)

Region-Adaptive Transform with Segmentation Prior for Image Compression
por: Liu, Yuxi, et al.
Publicado: (2024)

TaQ-DiT: Time-aware Quantization for Diffusion Transformers
por: Liu, Xinyan, et al.
Publicado: (2024)

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
por: Shi, Yuxuan, et al.
Publicado: (2023)

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

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
por: Wang, Xin, et al.
Publicado: (2023)

Traditional Transformation Theory Guided Model for Learned Image Compression
por: Li, Zhiyuan, et al.
Publicado: (2024)

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

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

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

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging
por: Dong, Jiahua, et al.
Publicado: (2024)

Efficient Learned Image Compression without Entropy Coding
por: Cao, Hao, et al.
Publicado: (2026)

S2CFormer: Revisiting the RD-Latency Trade-off in Transformer-based Learned Image Compression
por: Chen, Yunuo, et al.
Publicado: (2025)

Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images
por: Lu, Zhan, et al.
Publicado: (2023)

HyCoT: A Transformer-Based Autoencoder for Hyperspectral Image Compression
por: Fuchs, Martin Hermann Paul, et al.
Publicado: (2024)

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

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