{"total":371,"rows":[{"id":"2107.10833","title":"Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data","created":"2021-07-22","cited_by_count":970,"area":null},{"id":"2305.07015","title":"Exploiting Diffusion Prior for Real-World Image Super-Resolution","created":"2023-05-11","cited_by_count":489,"area":"diffusion"},{"id":"2101.04061","title":"Towards Real-World Blind Face Restoration with Generative Facial Prior","created":"2021-01-11","cited_by_count":349,"area":null},{"id":"2311.16518","title":"SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution","created":"2023-11-27","cited_by_count":315,"area":"diffusion"},{"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":"2308.15070","title":"DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior","created":"2023-08-29","cited_by_count":257,"area":"diffusion"},{"id":"2303.09472","title":"DiffIR: Efficient Diffusion Model for Image Restoration","created":"2023-03-16","cited_by_count":255,"area":"diffusion"},{"id":"2308.14469","title":"Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization","created":"2023-08-28","cited_by_count":254,"area":"diffusion"},{"id":"2206.11253","title":"Towards Robust Blind Face Restoration with Codebook Lookup Transformer","created":"2022-06-22","cited_by_count":231,"area":null},{"id":"2203.04036","title":"StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN","created":"2022-03-08","cited_by_count":169,"area":null},{"id":"2104.10729","title":"Low-Light Image and Video Enhancement Using Deep Learning: A Survey","created":"2021-04-21","cited_by_count":148,"area":null},{"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":"2111.12704","title":"Investigating Tradeoffs in Real-World Video Super-Resolution","created":"2021-11-24","cited_by_count":134,"area":null},{"id":"2312.06640","title":"Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution","created":"2023-12-11","cited_by_count":132,"area":"diffusion"},{"id":"2204.13348","title":"Deep Generalized Unfolding Networks for Image Restoration","created":"2022-04-28","cited_by_count":121,"area":null},{"id":"2203.09195","title":"Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution","created":"2022-03-17","cited_by_count":114,"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":"2202.13142","title":"Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors","created":"2022-02-26","cited_by_count":100,"area":null},{"id":"2203.14216","title":"Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution","created":"2022-03-27","cited_by_count":96,"area":null},{"id":"2107.03055","title":"Blind Image Super-Resolution: A Survey and Beyond","created":"2021-07-07","cited_by_count":93,"area":null},{"id":"2403.11423","title":"VmambaIR: Visual State Space Model for Image Restoration","created":"2024-03-18","cited_by_count":90,"area":null},{"id":"2108.13610","title":"Iterative Filter Adaptive Network for Single Image Defocus Deblurring","created":"2021-08-31","cited_by_count":86,"area":null},{"id":"2302.11831","title":"Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement","created":"2023-02-23","cited_by_count":86,"area":null},{"id":"2412.09013","title":"Arbitrary-steps Image Super-resolution via Diffusion Inversion","created":"2024-12-12","cited_by_count":86,"area":"diffusion"},{"id":"2201.06374","title":"RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs","created":"2022-01-17","cited_by_count":85,"area":null},{"id":"2103.04039","title":"ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic","created":"2021-03-06","cited_by_count":81,"area":null},{"id":"2212.01789","title":"Multiscale Structure Guided Diffusion for Image Deblurring","created":"2022-12-04","cited_by_count":77,"area":"diffusion"},{"id":"2109.14573","title":"Towards Flexible Blind JPEG Artifacts Removal","created":"2021-09-29","cited_by_count":76,"area":null},{"id":"2303.09101","title":"Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank","created":"2023-03-16","cited_by_count":71,"area":null},{"id":"2409.17058","title":"Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors","created":"2024-09-25","cited_by_count":69,"area":"diffusion"},{"id":"2309.05239","title":"HAT: Hybrid Attention Transformer for Image Restoration","created":"2023-09-11","cited_by_count":66,"area":null},{"id":"2311.16512","title":"CoSeR: Bridging Image and Language for Cognitive Super-Resolution","created":"2023-11-27","cited_by_count":66,"area":null},{"id":"2404.18820","title":"Towards Extreme Image Compression with Latent Feature Guidance and Diffusion Prior","created":"2024-04-29","cited_by_count":60,"area":"diffusion"},{"id":"2105.13084","title":"HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization","created":"2021-05-27","cited_by_count":58,"area":null},{"id":"2108.09551","title":"Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform","created":"2021-08-21","cited_by_count":58,"area":null},{"id":"2304.07039","title":"Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement","created":"2023-04-14","cited_by_count":57,"area":null},{"id":"2303.08714","title":"ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution","created":"2023-03-15","cited_by_count":53,"area":"diffusion"},{"id":"2108.05302","title":"Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution","created":"2021-08-11","cited_by_count":52,"area":null},{"id":"2203.11947","title":"CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training","created":"2022-03-22","cited_by_count":49,"area":null},{"id":"2111.00772","title":"AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling","created":"2021-11-01","cited_by_count":47,"area":null},{"id":"2202.07508","title":"Deep Constrained Least Squares for Blind Image Super-Resolution","created":"2022-02-15","cited_by_count":47,"area":null},{"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":"2206.11695","title":"NTIRE 2022 Challenge on Perceptual Image Quality Assessment","created":"2022-06-23","cited_by_count":41,"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":"2403.05049","title":"XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution","created":"2024-03-08","cited_by_count":41,"area":"diffusion"},{"id":"2210.08160","title":"Learning Dual Memory Dictionaries for Blind Face Restoration","created":"2022-10-15","cited_by_count":40,"area":null},{"id":"2203.07319","title":"GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors","created":"2022-03-14","cited_by_count":39,"area":null},{"id":"2106.15368","title":"Text Prior Guided Scene Text Image Super-resolution","created":"2021-06-29","cited_by_count":37,"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":"2106.01439","title":"NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results","created":"2021-06-02","cited_by_count":36,"area":null},{"id":"2203.08566","title":"EDTER: Edge Detection with Transformer","created":"2022-03-16","cited_by_count":36,"area":null},{"id":"2206.08545","title":"NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates","created":"2022-06-17","cited_by_count":36,"area":null},{"id":"2305.09999","title":"An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection","created":"2023-05-17","cited_by_count":36,"area":null},{"id":"2104.13743","title":"Image Inpainting by End-to-End Cascaded Refinement with Mask Awareness","created":"2021-04-28","cited_by_count":35,"area":null},{"id":"2203.09388","title":"A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution","created":"2022-03-17","cited_by_count":35,"area":null},{"id":"2208.05244","title":"Learning Degradation Representations for Image Deblurring","created":"2022-08-10","cited_by_count":35,"area":null},{"id":"2503.11221","title":"Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption","created":"2025-03-14","cited_by_count":35,"area":null},{"id":"2303.05156","title":"Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution","created":"2023-03-09","cited_by_count":34,"area":null},{"id":"2205.05065","title":"MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution","created":"2022-05-10","cited_by_count":33,"area":null},{"id":"2308.07228","title":"RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs","created":"2023-08-14","cited_by_count":33,"area":null},{"id":"2101.03749","title":"Deep Learning-based Face Super-Resolution: A Survey","created":"2021-01-11","cited_by_count":32,"area":null},{"id":"2104.09556","title":"Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network","created":"2021-04-19","cited_by_count":31,"area":null},{"id":"2103.15295","title":"Best-Buddy GANs for Highly Detailed Image Super-Resolution","created":"2021-03-29","cited_by_count":30,"area":null},{"id":"2108.07978","title":"A New Journey from SDRTV to HDRTV","created":"2021-08-18","cited_by_count":30,"area":null},{"id":"2402.18152","title":"Boosting Neural Representations for Videos with a Conditional Decoder","created":"2024-02-28","cited_by_count":29,"area":null},{"id":"2211.16928","title":"Knowledge Distillation based Degradation Estimation for Blind Super-Resolution","created":"2022-11-30","cited_by_count":28,"area":"distill"},{"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":"2510.12764","title":"AnyUp: Universal Feature Upsampling","created":"2025-10-14","cited_by_count":28,"area":null},{"id":"2107.00986","title":"Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel","created":"2021-07-02","cited_by_count":27,"area":null},{"id":"2108.01070","title":"Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution","created":"2021-08-02","cited_by_count":26,"area":null},{"id":"2402.19387","title":"SeD: Semantic-Aware Discriminator for Image Super-Resolution","created":"2024-02-29","cited_by_count":26,"area":null},{"id":"2402.06646","title":"Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction","created":"2024-02-02","cited_by_count":25,"area":"diffusion"},{"id":"2103.03781","title":"Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation","created":"2021-03-05","cited_by_count":24,"area":null},{"id":"2207.01074","title":"Variational Deep Image Restoration","created":"2022-07-03","cited_by_count":24,"area":null},{"id":"2211.07077","title":"IFQA: Interpretable Face Quality Assessment","created":"2022-11-14","cited_by_count":24,"area":null},{"id":"2303.14726","title":"Learning Generative Structure Prior for Blind Text Image Super-resolution","created":"2023-03-26","cited_by_count":24,"area":null},{"id":"2308.13767","title":"DiffI2I: Efficient Diffusion Model for Image-to-Image Translation","created":"2023-08-26","cited_by_count":24,"area":"diffusion"},{"id":"2401.17258","title":"You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation","created":"2024-01-30","cited_by_count":24,"area":"diffusion"},{"id":"2405.03008","title":"DVMSR: Distillated Vision Mamba for Efficient Super-Resolution","created":"2024-05-05","cited_by_count":24,"area":"ssm"},{"id":"2503.11073","title":"Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models","created":"2025-03-14","cited_by_count":24,"area":"diffusion"},{"id":"2102.09351","title":"A Comprehensive Review of Deep Learning-based Single Image Super-resolution","created":"2021-02-18","cited_by_count":23,"area":null},{"id":"2308.07314","title":"Dual Associated Encoder for Face Restoration","created":"2023-08-14","cited_by_count":23,"area":null},{"id":"2205.04910","title":"A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds","created":"2022-05-10","cited_by_count":22,"area":null},{"id":"2209.13131","title":"Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances","created":"2022-09-27","cited_by_count":22,"area":null},{"id":"2312.15736","title":"Towards Real-World Blind Face Restoration with Generative Diffusion Prior","created":"2023-12-25","cited_by_count":22,"area":"diffusion"},{"id":"2406.00609","title":"SuperGaussian: Repurposing Video Models for 3D Super Resolution","created":"2024-06-02","cited_by_count":22,"area":null},{"id":"2211.13676","title":"Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation","created":"2022-11-24","cited_by_count":21,"area":null},{"id":"2304.13518","title":"Super-NeRF: View-consistent Detail Generation for NeRF super-resolution","created":"2023-04-26","cited_by_count":21,"area":null},{"id":"2409.19589","title":"Effective Diffusion Transformer Architecture for Image Super-Resolution","created":"2024-09-29","cited_by_count":21,"area":"diffusion"},{"id":"2506.11136","title":"JAFAR: Jack up Any Feature at Any Resolution","created":"2025-06-10","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":"2303.13069","title":"Human Guided Ground-truth Generation for Realistic Image Super-resolution","created":"2023-03-23","cited_by_count":20,"area":null},{"id":"2403.17460","title":"Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model","created":"2024-03-26","cited_by_count":20,"area":"diffusion"},{"id":"2102.06685","title":"Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance","created":"2021-02-11","cited_by_count":19,"area":null},{"id":"2109.14335","title":"A Systematic Survey of Deep Learning-based Single-Image Super-Resolution","created":"2021-09-29","cited_by_count":19,"area":null},{"id":"2203.10812","title":"ARM: Any-Time Super-Resolution Method","created":"2022-03-21","cited_by_count":19,"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":"2207.14812","title":"GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond","created":"2022-07-29","cited_by_count":19,"area":null},{"id":"2304.01994","title":"Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution","created":"2023-04-04","cited_by_count":19,"area":"diffusion"},{"id":"2105.03072","title":"NTIRE 2021 Challenge on Perceptual Image Quality Assessment","created":"2021-05-07","cited_by_count":18,"area":null}],"next_cursor":"100"}