Imagen de Portada

Look-Around Before You Leap: High-Frequency Injected Transformer for Image Restoration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Shihao, Chen, Duosheng, Pan, Jinshan, Yang, Jufeng
Formato:	Preprint
Publicado:	2024
Materias:	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

Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration
por: Zhou, Shihao, et al.
Publicado: (2024)

Spread Your Wings: A Radial Strip Transformer for Image Deblurring
por: Chen, Duosheng, et al.
Publicado: (2024)

Harmonizing Light and Darkness: A Symphony of Prior-guided Data Synthesis and Adaptive Focus for Nighttime Flare Removal
por: Qu, Lishen, et al.
Publicado: (2024)

Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration
por: Zhou, Shihao, et al.
Publicado: (2025)

FlareX: A Physics-Informed Dataset for Lens Flare Removal via 2D Synthesis and 3D Rendering
por: Qu, Lishen, et al.
Publicado: (2025)

Neural Discrimination-Prompted Transformers for Efficient UHD Image Restoration and Enhancement
por: Wang, Cong, et al.
Publicado: (2026)

Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
por: Wang, Cong, et al.
Publicado: (2025)

Correlation Matching Transformation Transformers for UHD Image Restoration
por: Wang, Cong, et al.
Publicado: (2024)

Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey
por: Wang, Liyan, et al.
Publicado: (2025)

FSATFusion: Frequency-Spatial Attention Transformer for Infrared and Visible Image Fusion
por: Zhang, Tianpei, et al.
Publicado: (2025)

FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation Model
por: Chen, Xiang, et al.
Publicado: (2025)

FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration
por: Li, Hao, et al.
Publicado: (2024)

Frequency Domain-Based Diffusion Model for Unpaired Image Dehazing
por: Liu, Chengxu, et al.
Publicado: (2025)

Ultra-High-Definition Image Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution
por: Wang, Liyan, et al.
Publicado: (2024)

MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration
por: Kong, Lingshun, et al.
Publicado: (2026)

STCDiT: Spatio-Temporally Consistent Diffusion Transformer for High-Quality Video Super-Resolution
por: Chen, Junyang, et al.
Publicado: (2025)

Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning
por: Li, Yian, et al.
Publicado: (2024)

How Powerful Potential of Attention on Image Restoration?
por: Wang, Cong, et al.
Publicado: (2024)

Multi-task Image Restoration Guided By Robust DINO Features
por: Lin, Xin, et al.
Publicado: (2023)

WIFE-Fusion:Wavelet-aware Intra-inter Frequency Enhancement for Multi-model Image Fusion
por: Zhang, Tianpei, et al.
Publicado: (2025)

Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
por: Chen, Xiang, et al.
Publicado: (2024)

FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
por: Chen, Junyang, et al.
Publicado: (2024)

Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis
por: Cai, Xinhao, et al.
Publicado: (2025)

It Takes Two: A Duet of Periodicity and Directionality for Burst Flicker Removal
por: Qu, Lishen, et al.
Publicado: (2026)

You Only Look Around: Learning Illumination Invariant Feature for Low-light Object Detection
por: Hong, Mingbo, et al.
Publicado: (2024)

Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers
por: Galoaa, Bishoy, et al.
Publicado: (2025)

Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method
por: Chen, Hongming, et al.
Publicado: (2024)

EAMamba: Efficient All-Around Vision State Space Model for Image Restoration
por: Lin, Yu-Cheng, et al.
Publicado: (2025)

DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration
por: Cao, Huiyun, et al.
Publicado: (2025)

Bridging Fidelity-Reality with Controllable One-Step Diffusion for Image Super-Resolution
por: Chen, Hao, et al.
Publicado: (2025)

Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition
por: Chen, Genggeng, et al.
Publicado: (2024)

Understand Before You Generate: Self-Guided Training for Autoregressive Image Generation
por: Yue, Xiaoyu, et al.
Publicado: (2025)

Rethinking Nighttime Image Deraining via Learnable Color Space Transformation
por: Guan, Qiyuan, et al.
Publicado: (2025)

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models
por: Zou, Xin, et al.
Publicado: (2024)

HAT: Hybrid Attention Transformer for Image Restoration
por: Chen, Xiangyu, et al.
Publicado: (2023)

StyleInject: Parameter Efficient Tuning of Text-to-Image Diffusion Models
por: Zhou, Mohan, et al.
Publicado: (2024)

Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration
por: Huang, Xinghua, et al.
Publicado: (2026)

Learning Dual Transformers for All-In-One Image Restoration from a Frequency Perspective
por: Chu, Jie, et al.
Publicado: (2024)

Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba
por: Pan, Liwen, et al.
Publicado: (2025)

ShiftLUT: Spatial Shift Enhanced Look-Up Tables for Efficient Image Restoration
por: Zeng, Xiaolong, et al.
Publicado: (2026)