{"total":335,"rows":[{"id":"2303.00748","title":"Efficient and Explicit Modelling of Image Hierarchies for Image Restoration","created":"2023-03-01","cited_by_count":145,"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":"2212.04362","title":"CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution","created":"2022-12-08","cited_by_count":70,"area":null},{"id":"2208.11247","title":"SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution","created":"2022-08-24","cited_by_count":68,"area":null},{"id":"2402.18848","title":"SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting","created":"2024-02-29","cited_by_count":67,"area":null},{"id":"2309.05239","title":"HAT: Hybrid Attention Transformer for Image Restoration","created":"2023-09-11","cited_by_count":66,"area":null},{"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":"2304.10244","title":"Omni Aggregation Networks for Lightweight Image Super-Resolution","created":"2023-04-20","cited_by_count":62,"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":"2404.10343","title":"The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report","created":"2024-04-16","cited_by_count":57,"area":null},{"id":"2406.07255","title":"Towards Realistic Data Generation for Real-World Super-Resolution","created":"2024-06-11","cited_by_count":56,"area":null},{"id":"2303.16513","title":"Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution","created":"2023-03-29","cited_by_count":52,"area":null},{"id":"2411.13383","title":"Adversarial Diffusion Compression for Real-World Image Super-Resolution","created":"2024-11-20","cited_by_count":52,"area":null},{"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":"2403.04926","title":"BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling","created":"2024-03-07","cited_by_count":42,"area":null},{"id":"2307.02457","title":"DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models","created":"2023-07-05","cited_by_count":41,"area":null},{"id":"2404.00722","title":"DRCT: Saving Image Super-resolution away from Information Bottleneck","created":"2024-03-31","cited_by_count":40,"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":"2405.07023","title":"Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution","created":"2024-05-11","cited_by_count":37,"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":"2304.00844","title":"Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising","created":"2023-04-03","cited_by_count":35,"area":null},{"id":"2208.11014","title":"Low-Light Video Enhancement with Synthetic Event Guidance","created":"2022-08-23","cited_by_count":33,"area":null},{"id":"2407.13987","title":"RealViformer: Investigating Attention for Real-World Video Super-Resolution","created":"2024-07-19","cited_by_count":33,"area":null},{"id":"2401.17904","title":"Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation","created":"2024-01-31","cited_by_count":30,"area":null},{"id":"2209.14145","title":"Multi-scale Attention Network for Single Image Super-Resolution","created":"2022-09-28","cited_by_count":29,"area":null},{"id":"2303.06373","title":"Recursive Generalization Transformer for Image Super-Resolution","created":"2023-03-11","cited_by_count":29,"area":null},{"id":"2401.03707","title":"FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring","created":"2024-01-08","cited_by_count":28,"area":null},{"id":"2302.03453","title":"OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer","created":"2023-02-07","cited_by_count":26,"area":null},{"id":"2305.13291","title":"Materialistic: Selecting Similar Materials in Images","created":"2023-05-22","cited_by_count":26,"area":null},{"id":"2411.10798","title":"Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution","created":"2024-11-16","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":"2604.03198","title":"The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report","created":"2026-04-03","cited_by_count":25,"area":null},{"id":"2406.00609","title":"SuperGaussian: Repurposing Video Models for 3D Super Resolution","created":"2024-06-02","cited_by_count":22,"area":null},{"id":"2504.12711","title":"NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results","created":"2025-04-17","cited_by_count":22,"area":null},{"id":"2305.18107","title":"Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution","created":"2023-05-29","cited_by_count":21,"area":null},{"id":"2404.16451","title":"Latent Modulated Function for Computational Optimal Continuous Image Representation","created":"2024-04-25","cited_by_count":21,"area":null},{"id":"2501.06838","title":"Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution","created":"2025-01-12","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":"2504.12276","title":"The Tenth NTIRE 2025 Image Denoising Challenge Report","created":"2025-04-16","cited_by_count":21,"area":null},{"id":"2208.11184","title":"AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results","created":"2022-08-23","cited_by_count":20,"area":null},{"id":"2404.17433","title":"PromptCIR: Blind Compressed Image Restoration with Prompt Learning","created":"2024-04-26","cited_by_count":20,"area":null},{"id":"2205.05671","title":"RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization","created":"2022-05-11","cited_by_count":19,"area":null},{"id":"2304.04421","title":"Local-Global Temporal Difference Learning for Satellite Video Super-Resolution","created":"2023-04-10","cited_by_count":19,"area":null},{"id":"2304.07018","title":"DIPNet: Efficiency Distillation and Iterative Pruning for Image Super-Resolution","created":"2023-04-14","cited_by_count":19,"area":null},{"id":"2403.02601","title":"Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning","created":"2024-03-05","cited_by_count":19,"area":null},{"id":"2404.16484","title":"Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey","created":"2024-04-25","cited_by_count":19,"area":null},{"id":"2303.09735","title":"SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution","created":"2023-03-17","cited_by_count":18,"area":null},{"id":"2310.19011","title":"Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction","created":"2023-10-29","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":"2207.02796","title":"Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution","created":"2022-07-06","cited_by_count":16,"area":null},{"id":"2210.05960","title":"Efficient Image Super-Resolution using Vast-Receptive-Field Attention","created":"2022-10-12","cited_by_count":16,"area":null},{"id":"2503.06896","title":"CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution","created":"2025-03-10","cited_by_count":16,"area":null},{"id":"2503.20349","title":"Consistency Trajectory Matching for One-Step Generative Super-Resolution","created":"2025-03-26","cited_by_count":16,"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":"2504.04903","title":"Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision","created":"2025-04-07","cited_by_count":14,"area":null},{"id":"2504.13131","title":"NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results","created":"2025-04-17","cited_by_count":14,"area":null},{"id":"2306.12992","title":"Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformers","created":"2023-06-22","cited_by_count":13,"area":null},{"id":"2401.05633","title":"Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach","created":"2024-01-11","cited_by_count":13,"area":null},{"id":"2411.09911","title":"DiffFNO: Diffusion Fourier Neural Operator","created":"2024-11-15","cited_by_count":13,"area":null},{"id":"2309.03020","title":"SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution","created":"2023-09-06","cited_by_count":12,"area":null},{"id":"2312.06733","title":"TULIP: Transformer for Upsampling of LiDAR Point Clouds","created":"2023-12-11","cited_by_count":12,"area":null},{"id":"2407.12273","title":"GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity","created":"2024-07-17","cited_by_count":12,"area":null},{"id":"2410.22922","title":"High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer","created":"2024-10-30","cited_by_count":12,"area":null},{"id":"2501.15852","title":"CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference","created":"2025-01-27","cited_by_count":12,"area":null},{"id":"2504.14582","title":"NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results","created":"2025-04-20","cited_by_count":12,"area":null},{"id":"2209.01809","title":"UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network","created":"2022-09-05","cited_by_count":11,"area":null},{"id":"2212.12322","title":"Infrared Image Super-Resolution: Systematic Review, and Future Trends","created":"2022-12-22","cited_by_count":11,"area":null},{"id":"2312.15408","title":"Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective","created":"2023-12-24","cited_by_count":11,"area":null},{"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":"2305.05177","title":"Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution","created":"2023-05-09","cited_by_count":10,"area":null},{"id":"2307.00430","title":"WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution","created":"2023-07-01","cited_by_count":10,"area":null},{"id":"2308.05022","title":"Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution","created":"2023-08-09","cited_by_count":10,"area":null},{"id":"2403.08330","title":"Activating Wider Areas in Image Super-Resolution","created":"2024-03-13","cited_by_count":10,"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":"2409.09588","title":"GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detection","created":"2024-09-15","cited_by_count":10,"area":null},{"id":"2604.14558","title":"The Fourth Challenge on Image Super-Resolution ($\\times$4) at NTIRE 2026: Benchmark Results and Method Overview","created":"2026-04-16","cited_by_count":10,"area":null},{"id":"2304.13471","title":"OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution","created":"2023-04-26","cited_by_count":9,"area":null},{"id":"2404.07846","title":"Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising","created":"2024-04-11","cited_by_count":9,"area":null},{"id":"2405.09923","title":"NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge","created":"2024-05-16","cited_by_count":9,"area":null},{"id":"2406.18967","title":"Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis","created":"2024-06-27","cited_by_count":8,"area":null},{"id":"2407.09352","title":"Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems","created":"2024-07-12","cited_by_count":8,"area":null},{"id":"2407.19789","title":"Interpreting Low-level Vision Models with Causal Effect Maps","created":"2024-07-29","cited_by_count":8,"area":null},{"id":"2304.03542","title":"Better \"CMOS\" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution","created":"2023-04-07","cited_by_count":7,"area":null},{"id":"2312.05803","title":"Transformer-based Selective Super-Resolution for Efficient Image Refinement","created":"2023-12-10","cited_by_count":7,"area":null},{"id":"2403.10988","title":"Boosting Flow-based Generative Super-Resolution Models via Learned Prior","created":"2024-03-16","cited_by_count":7,"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":"2404.11848","title":"Partial Large Kernel CNNs for Efficient Super-Resolution","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2405.07919","title":"Exploring the Low-Pass Filtering Behavior in Image Super-Resolution","created":"2024-05-13","cited_by_count":7,"area":null},{"id":"2411.15922","title":"PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptation","created":"2024-11-24","cited_by_count":7,"area":null},{"id":"2503.00905","title":"DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging","created":"2025-03-02","cited_by_count":7,"area":null},{"id":"2504.04869","title":"DSwinIR: Rethinking Window-based Attention for Image Restoration","created":"2025-04-07","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":"2504.18524","title":"Augmenting Perceptual Super-Resolution via Image Quality Predictors","created":"2025-04-25","cited_by_count":7,"area":null},{"id":"2508.16557","title":"Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution","created":"2025-08-22","cited_by_count":7,"area":null},{"id":"2604.10112","title":"Dual-Branch Remote Sensing Infrared Image Super-Resolution","created":"2026-04-11","cited_by_count":7,"area":null},{"id":"2604.21312","title":"The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview","created":"2026-04-23","cited_by_count":7,"area":null},{"id":"2302.13598","title":"Spatial-Frequency Attention for Image Denoising","created":"2023-02-27","cited_by_count":6,"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":"2309.04037","title":"SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks","created":"2023-09-07","cited_by_count":6,"area":null}],"next_cursor":"100"}