{"total":447,"rows":[{"id":"2201.02973","title":"MAXIM: Multi-Axis MLP for Image Processing","created":"2022-01-09","cited_by_count":302,"area":null},{"id":"2204.03883","title":"Vision Transformers for Single Image Dehazing","created":"2022-04-08","cited_by_count":260,"area":null},{"id":"2104.09367","title":"Contrastive Learning for Compact Single Image Dehazing","created":"2021-04-19","cited_by_count":219,"area":null},{"id":"2301.11699","title":"Image Restoration with Mean-Reverting Stochastic Differential Equations","created":"2023-01-27","cited_by_count":183,"area":null},{"id":"2401.16468","title":"InstructIR: High-Quality Image Restoration Following Human Instructions","created":"2024-01-29","cited_by_count":140,"area":null},{"id":"2306.13090","title":"PromptIR: Prompting for All-in-One Blind Image Restoration","created":"2023-06-22","cited_by_count":114,"area":null},{"id":"2403.14614","title":"AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation","created":"2024-03-21","cited_by_count":111,"area":null},{"id":"2308.09388","title":"Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey","created":"2023-08-18","cited_by_count":109,"area":"diffusion"},{"id":"2310.10123","title":"AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion","created":"2023-10-16","cited_by_count":100,"area":"diffusion"},{"id":"2105.13502","title":"Unsupervised Domain Adaptation of Object Detectors: A Survey","created":"2021-05-27","cited_by_count":93,"area":null},{"id":"2407.04621","title":"OneRestore: A Universal Restoration Framework for Composite Degradation","created":"2024-07-05","cited_by_count":92,"area":null},{"id":"2301.04805","title":"DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention","created":"2023-01-12","cited_by_count":91,"area":null},{"id":"2112.08088","title":"Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions","created":"2021-12-15","cited_by_count":85,"area":null},{"id":"2303.14218","title":"Curricular Contrastive Regularization for Physics-aware Single Image Dehazing","created":"2023-03-24","cited_by_count":83,"area":null},{"id":"2308.14036","title":"MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing","created":"2023-08-27","cited_by_count":81,"area":null},{"id":"2411.18466","title":"Complexity Experts are Task-Discriminative Learners for Any Image Restoration","created":"2024-11-27","cited_by_count":77,"area":"moe"},{"id":"2406.11138","title":"Diffusion Models in Low-Level Vision: A Survey","created":"2024-06-17","cited_by_count":74,"area":"diffusion"},{"id":"2304.03994","title":"RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors","created":"2023-04-08","cited_by_count":73,"area":null},{"id":"2403.11157","title":"Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model","created":"2024-03-17","cited_by_count":73,"area":"diffusion"},{"id":"2407.10172","title":"Restoring Images in Adverse Weather Conditions via Histogram Transformer","created":"2024-07-14","cited_by_count":73,"area":null},{"id":"2108.02934","title":"From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data","created":"2021-08-06","cited_by_count":68,"area":null},{"id":"2402.09880","title":"Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence","created":"2024-02-15","cited_by_count":68,"area":null},{"id":"2305.17863","title":"GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions","created":"2023-05-29","cited_by_count":62,"area":null},{"id":"2408.15994","title":"Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration","created":"2024-08-28","cited_by_count":62,"area":null},{"id":"2112.04491","title":"Improving Image Restoration by Revisiting Global Information Aggregation","created":"2021-12-08","cited_by_count":61,"area":null},{"id":"2410.15067","title":"A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future Trends","created":"2024-10-19","cited_by_count":60,"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":"2403.00644","title":"Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Tasks","created":"2024-03-01","cited_by_count":48,"area":"diffusion"},{"id":"2305.13819","title":"WaveDM: Wavelet-Based Diffusion Models for Image Restoration","created":"2023-05-23","cited_by_count":47,"area":"diffusion"},{"id":"2310.12848","title":"Neural Degradation Representation Learning for All-In-One Image Restoration","created":"2023-10-19","cited_by_count":46,"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":"2410.17809","title":"An Intelligent Agentic System for Complex Image Restoration Problems","created":"2024-10-23","cited_by_count":43,"area":"agents"},{"id":"2501.13134","title":"UniRestore: Unified Perceptual and Task-Oriented Image Restoration Model Using Diffusion Prior","created":"2025-01-22","cited_by_count":42,"area":"diffusion"},{"id":"2505.12630","title":"Degradation-Aware Feature Perturbation for All-in-One Image Restoration","created":"2025-05-19","cited_by_count":41,"area":null},{"id":"2405.16785","title":"PromptFix: You Prompt and We Fix the Photo","created":"2024-05-27","cited_by_count":40,"area":"diffusion"},{"id":"2406.00629","title":"Correlation Matching Transformation Transformers for UHD Image Restoration","created":"2024-06-02","cited_by_count":39,"area":null},{"id":"2412.01427","title":"FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration","created":"2024-12-02","cited_by_count":39,"area":null},{"id":"2207.10040","title":"Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model","created":"2022-07-20","cited_by_count":37,"area":null},{"id":"2303.13511","title":"Neural Preset for Color Style Transfer","created":"2023-03-23","cited_by_count":36,"area":null},{"id":"2307.07829","title":"HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance","created":"2023-07-15","cited_by_count":36,"area":null},{"id":"2312.17334","title":"Improving Image Restoration through Removing Degradations in Textual Representations","created":"2023-12-28","cited_by_count":36,"area":null},{"id":"2501.04486","title":"MB-TaylorFormer V2: Improved Multi-branch Linear Transformer Expanded by Taylor Formula for Image Restoration","created":"2025-01-08","cited_by_count":36,"area":null},{"id":"2108.09650","title":"Domain Adaptation for Underwater Image Enhancement","created":"2021-08-22","cited_by_count":35,"area":null},{"id":"2205.01871","title":"UCL-Dehaze: Towards Real-world Image Dehazing via Unsupervised Contrastive Learning","created":"2022-05-04","cited_by_count":35,"area":null},{"id":"2209.01749","title":"4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement","created":"2022-09-05","cited_by_count":34,"area":null},{"id":"2504.04158","title":"JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration","created":"2025-04-05","cited_by_count":34,"area":"driving"},{"id":"2308.05480","title":"YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection","created":"2023-08-10","cited_by_count":33,"area":null},{"id":"2403.01105","title":"Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing","created":"2024-03-02","cited_by_count":32,"area":null},{"id":"2409.15278","title":"PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions","created":"2024-09-23","cited_by_count":31,"area":null},{"id":"2111.09733","title":"Perceiving and Modeling Density is All You Need for Image Dehazing","created":"2021-11-18","cited_by_count":30,"area":null},{"id":"2108.03553","title":"Self-Adversarial Disentangling for Specific Domain Adaptation","created":"2021-08-08","cited_by_count":29,"area":null},{"id":"2310.10513","title":"Unifying Image Processing as Visual Prompting Question Answering","created":"2023-10-16","cited_by_count":29,"area":null},{"id":"2405.14343","title":"Efficient Visual State Space Model for Image Deblurring","created":"2024-05-23","cited_by_count":29,"area":null},{"id":"2210.03061","title":"Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal","created":"2022-10-06","cited_by_count":28,"area":null},{"id":"2305.02103","title":"ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering","created":"2023-05-03","cited_by_count":28,"area":null},{"id":"2210.05171","title":"Deep Fourier Up-Sampling","created":"2022-10-11","cited_by_count":27,"area":null},{"id":"2312.06162","title":"Textual Prompt Guided Image Restoration","created":"2023-12-11","cited_by_count":27,"area":null},{"id":"2406.07966","title":"Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network","created":"2024-06-12","cited_by_count":26,"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":"2303.07033","title":"SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency","created":"2023-03-13","cited_by_count":24,"area":null},{"id":"2411.17226","title":"MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers","created":"2024-11-26","cited_by_count":24,"area":null},{"id":"2503.19262","title":"Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing","created":"2025-03-25","cited_by_count":23,"area":"diffusion"},{"id":"2203.11006","title":"Underwater Light Field Retention : Neural Rendering for Underwater Imaging","created":"2022-03-21","cited_by_count":22,"area":null},{"id":"2303.09757","title":"Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior","created":"2023-03-17","cited_by_count":22,"area":null},{"id":"2309.03063","title":"Prompt-based Ingredient-Oriented All-in-One Image Restoration","created":"2023-09-06","cited_by_count":22,"area":null},{"id":"2407.20928","title":"UniProcessor: A Text-induced Unified Low-level Image Processor","created":"2024-07-30","cited_by_count":22,"area":null},{"id":"2203.07677","title":"Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning","created":"2022-03-15","cited_by_count":21,"area":null},{"id":"2411.01656","title":"Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration","created":"2024-11-03","cited_by_count":21,"area":null},{"id":"2503.09403","title":"Multi-Agent Image Restoration","created":"2025-03-12","cited_by_count":21,"area":null},{"id":"2511.12609","title":"Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data","created":"2025-11-16","cited_by_count":21,"area":"moe"},{"id":"2209.14922","title":"GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditions","created":"2022-09-29","cited_by_count":20,"area":null},{"id":"2409.19403","title":"Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration","created":"2024-09-28","cited_by_count":20,"area":null},{"id":"2509.11642","title":"WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration","created":"2025-09-15","cited_by_count":20,"area":null},{"id":"2106.03323","title":"A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning","created":"2021-06-07","cited_by_count":19,"area":null},{"id":"2305.17654","title":"MixDehazeNet : Mix Structure Block For Image Dehazing Network","created":"2023-05-28","cited_by_count":18,"area":null},{"id":"2308.06998","title":"Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing","created":"2023-08-14","cited_by_count":18,"area":null},{"id":"2404.00288","title":"Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration","created":"2024-03-30","cited_by_count":18,"area":null},{"id":"2407.19139","title":"Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image Restoration","created":"2024-07-27","cited_by_count":18,"area":null},{"id":"2408.08601","title":"Learning A Low-Level Vision Generalist via Visual Task Prompt","created":"2024-08-16","cited_by_count":18,"area":null},{"id":"2409.00263","title":"AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning","created":"2024-08-30","cited_by_count":18,"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":"2101.10449","title":"Towards Domain Invariant Single Image Dehazing","created":"2021-01-09","cited_by_count":17,"area":null},{"id":"2207.06644","title":"Source-Free Domain Adaptation for Real-world Image Dehazing","created":"2022-07-14","cited_by_count":17,"area":null},{"id":"2212.11473","title":"Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning","created":"2022-12-22","cited_by_count":17,"area":null},{"id":"2308.10510","title":"Frequency Compensated Diffusion Model for Real-scene Dehazing","created":"2023-08-21","cited_by_count":17,"area":"diffusion"},{"id":"2312.02197","title":"Test-Time Degradation Adaptation for Open-Set Image Restoration","created":"2023-12-02","cited_by_count":17,"area":null},{"id":"2412.00878","title":"Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration","created":"2024-12-01","cited_by_count":17,"area":null},{"id":"2503.13147","title":"Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing","created":"2025-03-17","cited_by_count":17,"area":null},{"id":"2104.08902","title":"A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learning","created":"2021-04-18","cited_by_count":16,"area":null},{"id":"2404.17825","title":"ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing","created":"2024-04-27","cited_by_count":16,"area":null},{"id":"2111.05700","title":"Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids","created":"2021-11-10","cited_by_count":15,"area":null},{"id":"2407.03636","title":"Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration","created":"2024-07-04","cited_by_count":15,"area":"diffusion"},{"id":"2408.10145","title":"Multi-Scale Representation Learning for Image Restoration with State-Space Model","created":"2024-08-19","cited_by_count":15,"area":null},{"id":"2409.19833","title":"HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes","created":"2024-09-30","cited_by_count":15,"area":null},{"id":"2505.18047","title":"RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration","created":"2025-05-23","cited_by_count":15,"area":"diffusion"},{"id":"2510.23116","title":"Residual Diffusion Bridge Model for Image Restoration","created":"2025-10-27","cited_by_count":15,"area":null},{"id":"2602.23169","title":"Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration","created":"2026-02-26","cited_by_count":15,"area":null},{"id":"2102.12135","title":"Efficient and Accurate Multi-scale Topological Network for Single Image Dehazing","created":"2021-02-24","cited_by_count":14,"area":null},{"id":"2103.13998","title":"GridDehazeNet+: An Enhanced Multi-Scale Network with Intra-Task Knowledge Transfer for Single Image Dehazing","created":"2021-03-25","cited_by_count":14,"area":null}],"next_cursor":"100"}