{"total":85,"rows":[{"id":"2402.15648","title":"MambaIR: A Simple Baseline for Image Restoration with State-Space Model","created":"2024-02-23","cited_by_count":352,"area":"ssm"},{"id":"2401.13627","title":"Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild","created":"2024-01-24","cited_by_count":286,"area":null},{"id":"2303.11950","title":"Learning A Sparse Transformer Network for Effective Image Deraining","created":"2023-03-21","cited_by_count":205,"area":null},{"id":"2411.15269","title":"MambaIRv2: Attentive State Space Restoration","created":"2024-11-22","cited_by_count":94,"area":"ssm"},{"id":"2401.08209","title":"Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary","created":"2024-01-16","cited_by_count":64,"area":null},{"id":"2303.13132","title":"Masked Image Training for Generalizable Deep Image Denoising","created":"2023-03-23","cited_by_count":57,"area":null},{"id":"2310.11881","title":"A Comparative Study of Image Restoration Networks for General Backbone Network Design","created":"2023-10-18","cited_by_count":57,"area":null},{"id":"2211.11436","title":"N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution","created":"2022-11-21","cited_by_count":46,"area":null},{"id":"2308.14153","title":"Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks","created":"2023-08-27","cited_by_count":45,"area":null},{"id":"2412.20066","title":"MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration","created":"2024-12-28","cited_by_count":45,"area":"ssm"},{"id":"2312.05038","title":"Prompt-In-Prompt Learning for Universal Image Restoration","created":"2023-12-08","cited_by_count":43,"area":null},{"id":"2404.09790","title":"NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results","created":"2024-04-15","cited_by_count":40,"area":null},{"id":"2506.16960","title":"Visual-Instructed Degradation Diffusion for All-in-One Image Restoration","created":"2025-06-20","cited_by_count":26,"area":null},{"id":"2503.20337","title":"Progressive Focused Transformer for Single Image Super-Resolution","created":"2025-03-26","cited_by_count":25,"area":null},{"id":"2410.15385","title":"LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration","created":"2024-10-20","cited_by_count":18,"area":"moe"},{"id":"2307.03992","title":"Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling","created":"2023-07-08","cited_by_count":17,"area":"diffusion"},{"id":"2401.15235","title":"CascadedGaze: Efficiency in Global Context Extraction for Image Restoration","created":"2024-01-26","cited_by_count":16,"area":null},{"id":"2410.10140","title":"Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution","created":"2024-10-14","cited_by_count":16,"area":"ssm"},{"id":"2504.17825","title":"Dual Prompting Image Restoration with Diffusion Transformers","created":"2025-04-24","cited_by_count":15,"area":"diffusion"},{"id":"2302.09554","title":"Mixed Hierarchy Network for Image Restoration","created":"2023-02-19","cited_by_count":14,"area":null},{"id":"2305.15134","title":"Networks are Slacking Off: Understanding Generalization Problem in Image Deraining","created":"2023-05-24","cited_by_count":14,"area":null},{"id":"2405.20008","title":"Sharing Key Semantics in Transformer Makes Efficient Image Restoration","created":"2024-05-30","cited_by_count":14,"area":null},{"id":"2408.11758","title":"MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs","created":"2024-08-21","cited_by_count":14,"area":"ssm"},{"id":"2403.16143","title":"CFAT: Unleashing TriangularWindows for Image Super-resolution","created":"2024-03-24","cited_by_count":11,"area":null},{"id":"2504.15003","title":"NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study","created":"2025-04-21","cited_by_count":11,"area":null},{"id":"2404.11273","title":"Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution","created":"2024-04-17","cited_by_count":10,"area":null},{"id":"2506.16961","title":"Reversing Flow for Image Restoration","created":"2025-06-20","cited_by_count":10,"area":null},{"id":"2506.22246","title":"EAMamba: Efficient All-Around Vision State Space Model for Image Restoration","created":"2025-06-27","cited_by_count":10,"area":"ssm"},{"id":"2305.13620","title":"A Dive into SAM Prior in Image Restoration","created":"2023-05-23","cited_by_count":9,"area":null},{"id":"2407.00676","title":"Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation","created":"2024-06-30","cited_by_count":9,"area":null},{"id":"2404.00633","title":"IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions","created":"2024-03-31","cited_by_count":7,"area":null},{"id":"2504.11286","title":"Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior","created":"2025-04-15","cited_by_count":7,"area":null},{"id":"2303.17783","title":"Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer","created":"2023-03-31","cited_by_count":6,"area":null},{"id":"2305.11474","title":"Reciprocal Attention Mixing Transformer for Lightweight Image Restoration","created":"2023-05-19","cited_by_count":6,"area":null},{"id":"2307.12717","title":"Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction","created":"2023-07-24","cited_by_count":5,"area":null},{"id":"2411.17214","title":"MAT: Multi-Range Attention Transformer for Efficient Image Super-Resolution","created":"2024-11-26","cited_by_count":5,"area":null},{"id":"2503.06671","title":"Emulating Self-attention with Convolution for Efficient Image Super-Resolution","created":"2025-03-09","cited_by_count":5,"area":null},{"id":"2503.21970","title":"Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration","created":"2025-03-27","cited_by_count":5,"area":"ssm"},{"id":"2506.18520","title":"Enhancing Image Restoration Transformer via Adaptive Translation Equivariance","created":"2025-06-23","cited_by_count":5,"area":null},{"id":"2407.11946","title":"Hierarchical Separable Video Transformer for Snapshot Compressive Imaging","created":"2024-07-16","cited_by_count":4,"area":null},{"id":"2502.12600","title":"Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2604.03061","title":"Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks","created":"2026-04-03","cited_by_count":4,"area":null},{"id":"2305.05146","title":"A Mountain-Shaped Single-Stage Network for Accurate Image Restoration","created":"2023-05-09","cited_by_count":3,"area":null},{"id":"2402.02634","title":"Key-Graph Transformer for Image Restoration","created":"2024-02-04","cited_by_count":3,"area":null},{"id":"2404.06075","title":"LIPT: Latency-aware Image Processing Transformer","created":"2024-04-09","cited_by_count":3,"area":null},{"id":"2405.05001","title":"HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution","created":"2024-05-08","cited_by_count":3,"area":null},{"id":"2407.09094","title":"Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2408.11480","title":"OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal","created":"2024-08-21","cited_by_count":3,"area":null},{"id":"2412.03814","title":"Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration","created":"2024-12-05","cited_by_count":3,"area":null},{"id":"2504.07603","title":"RASMD: RGB And SWIR Multispectral Driving Dataset for Robust Perception in Adverse Conditions","created":"2025-04-10","cited_by_count":3,"area":null},{"id":"2505.16157","title":"Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention","created":"2025-05-22","cited_by_count":3,"area":null},{"id":"2602.08047","title":"Vanilla Group Equivariant Vision Transformer: Simple and Effective","created":"2026-02-08","cited_by_count":3,"area":null},{"id":"2603.02581","title":"ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration","created":"2026-03-03","cited_by_count":3,"area":null},{"id":"2304.01805","title":"Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training","created":"2023-04-04","cited_by_count":2,"area":null},{"id":"2406.00683","title":"Exploiting Frequency Correlation for Hyperspectral Image Reconstruction","created":"2024-06-02","cited_by_count":2,"area":null},{"id":"2503.17825","title":"Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration","created":"2025-03-22","cited_by_count":2,"area":null},{"id":"2507.17892","title":"DiNAT-IR: Exploring Dilated Neighborhood Attention for High-Quality Image Restoration","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2508.19154","title":"RDDM: Practicing RAW Domain Diffusion Model for Real-world Image Restoration","created":"2025-08-26","cited_by_count":2,"area":"diffusion"},{"id":"2604.07994","title":"SAT: Selective Aggregation Transformer for Image Super-Resolution","created":"2026-04-09","cited_by_count":2,"area":null},{"id":"2308.04262","title":"SDLFormer: A Sparse and Dense Locality-enhanced Transformer for Accelerated MR Image Reconstruction","created":"2023-08-08","cited_by_count":1,"area":null},{"id":"2308.04370","title":"When Super-Resolution Meets Camouflaged Object Detection: A Comparison Study","created":"2023-08-08","cited_by_count":1,"area":null},{"id":"2408.16959","title":"HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution","created":"2024-08-30","cited_by_count":1,"area":null},{"id":"2410.18083","title":"FIPER: Factorized Features for Robust Image Super-Resolution and Compression","created":"2024-10-23","cited_by_count":1,"area":null},{"id":"2411.11189","title":"Freqformer: Frequency-Domain Transformer for 3-D Reconstruction and Quantification of Human Retinal Vasculature","created":"2024-11-17","cited_by_count":1,"area":null},{"id":"2411.18588","title":"Hierarchical Information Flow for Generalized Efficient Image Restoration","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2509.15363","title":"Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2601.08341","title":"From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-Resolution","created":"2026-01-13","cited_by_count":1,"area":null},{"id":"2603.06738","title":"Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2603.09171","title":"Progressive Split Mamba: Effective State Space Modelling for Image Restoration","created":"2026-03-10","cited_by_count":1,"area":"ssm"},{"id":"2605.08073","title":"EmambaIR: Efficient Visual State Space Model for Event-guided Image Reconstruction","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2403.05906","title":"Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration","created":"2024-03-09","cited_by_count":0,"area":null},{"id":"2407.01636","title":"Learning Dual Transformers for All-In-One Image Restoration from a Frequency Perspective","created":"2024-06-30","cited_by_count":0,"area":null},{"id":"2408.17060","title":"Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL","created":"2024-08-30","cited_by_count":0,"area":"diffusion"},{"id":"2409.14198","title":"A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph Transformer","created":"2024-09-21","cited_by_count":0,"area":null},{"id":"2501.13353","title":"Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision","created":"2025-01-23","cited_by_count":0,"area":"ssm"},{"id":"2503.16165","title":"Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2503.23265","title":"A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only","created":"2025-03-30","cited_by_count":0,"area":null},{"id":"2506.23547","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","created":"2025-06-30","cited_by_count":0,"area":null},{"id":"2507.15340","title":"MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2512.00275","title":"HIMOSA: Efficient Remote Sensing Image Super-Resolution with Hierarchical Mixture of Sparse Attention","created":"2025-11-29","cited_by_count":0,"area":null},{"id":"2602.15490","title":"RPT-SR: Regional Prior attention Transformer for infrared image Super-Resolution","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2602.19832","title":"M3S-Net: Multimodal Feature Fusion Network Based on Multi-scale Data for Ultra-short-term PV Power Forecasting","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2605.25892","title":"SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2606.19901","title":"Linear Recurrent Unit with Semantic Modulation for Image Super-Resolution","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.14543","title":"MagnifiQ: Patch-aware Text Guided Progressive Upscaling for High-Resolution Image Restoration","created":"2026-08-14","cited_by_count":0,"area":null}],"next_cursor":null}