{"list":"other","total":102,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2006.11239","title":"Denoising Diffusion Probabilistic Models","created":"2020-06-19","cited_by_count":21076},{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"2312.00752","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","created":"2023-12-01","cited_by_count":4718},{"id":"1604.01685","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","created":"2016-04-06","cited_by_count":4444},{"id":"2401.10891","title":"Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data","created":"2024-01-19","cited_by_count":1360},{"id":"1608.03981","title":"Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising","created":"2016-08-13","cited_by_count":1358},{"id":"1711.10925","title":"Deep Image Prior","created":"2017-11-29","cited_by_count":1098},{"id":"2207.12396","title":"Exploring CLIP for Assessing the Look and Feel of Images","created":"2022-07-25","cited_by_count":991},{"id":"2201.11793","title":"Denoising Diffusion Restoration Models","created":"2022-01-27","cited_by_count":963},{"id":"2204.04676","title":"Simple Baselines for Image Restoration","created":"2022-04-10","cited_by_count":708},{"id":"2001.06826","title":"Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement","created":"2020-01-19","cited_by_count":542},{"id":"1803.04189","title":"Noise2Noise: Learning Image Restoration without Clean Data","created":"2018-03-12","cited_by_count":533},{"id":"1905.02716","title":"EDVR: Video Restoration with Enhanced Deformable Convolutional Networks","created":"2019-05-07","cited_by_count":494},{"id":"2008.13751","title":"Plug-and-Play Image Restoration with Deep Denoiser Prior","created":"2020-08-31","cited_by_count":470},{"id":"1906.06972","title":"EnlightenGAN: Deep Light Enhancement without Paired Supervision","created":"2019-06-17","cited_by_count":466},{"id":"1905.02693","title":"3D Packing for Self-Supervised Monocular Depth Estimation","created":"2019-05-06","cited_by_count":439},{"id":"2104.13371","title":"BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment","created":"2021-04-27","cited_by_count":342},{"id":"1802.01770","title":"Scale-recurrent Network for Deep Image Deblurring","created":"2018-02-06","cited_by_count":333},{"id":"1704.02510","title":"DualGAN: Unsupervised Dual Learning for Image-to-Image Translation","created":"2017-04-08","cited_by_count":310},{"id":"2012.05609","title":"Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement","created":"2020-12-10","cited_by_count":303},{"id":"2001.06303","title":"Detection and Tracking Meet Drones Challenge","created":"2020-01-16","cited_by_count":263},{"id":"2204.03883","title":"Vision Transformers for Single Image Dehazing","created":"2022-04-08","cited_by_count":260},{"id":"1808.00449","title":"Learning Blind Video Temporal Consistency","created":"2018-08-01","cited_by_count":253},{"id":"1901.05495","title":"An Underwater Image Enhancement Benchmark Dataset and Beyond","created":"2019-01-11","cited_by_count":253},{"id":"2004.13388","title":"Multi-Scale Boosted Dehazing Network with Dense Feature Fusion","created":"2020-04-28","cited_by_count":230},{"id":"2003.13659","title":"Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation","created":"2020-03-30","cited_by_count":225},{"id":"2201.12288","title":"VRT: A Video Restoration Transformer","created":"2022-01-28","cited_by_count":220},{"id":"2003.07761","title":"CycleISP: Real Image Restoration via Improved Data Synthesis","created":"2020-03-17","cited_by_count":213},{"id":"1905.05406","title":"Plug-and-Play Methods Provably Converge with Properly Trained Denoisers","created":"2019-05-14","cited_by_count":198},{"id":"2101.02824","title":"Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images","created":"2021-01-08","cited_by_count":173},{"id":"2206.02146","title":"Recurrent Video Restoration Transformer with Guided Deformable Attention","created":"2022-06-05","cited_by_count":170},{"id":"1907.01361","title":"FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation","created":"2019-07-01","cited_by_count":128},{"id":"1702.07392","title":"WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images","created":"2017-02-23","cited_by_count":112},{"id":"2308.09388","title":"Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey","created":"2023-08-18","cited_by_count":109},{"id":"1511.04136","title":"UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking","created":"2015-11-13","cited_by_count":98},{"id":"2203.17061","title":"Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging","created":"2022-03-31","cited_by_count":96},{"id":"1904.03597","title":"Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics","created":"2019-04-07","cited_by_count":92},{"id":"2303.11722","title":"Implicit Neural Representation for Cooperative Low-light Image Enhancement","created":"2023-03-21","cited_by_count":92},{"id":"2003.14013","title":"Supervised Raw Video Denoising with a Benchmark Dataset on Dynamic Scenes","created":"2020-03-31","cited_by_count":77},{"id":"2108.02158","title":"Physics-based Noise Modeling for Extreme Low-light Photography","created":"2021-08-04","cited_by_count":67},{"id":"1908.00682","title":"Attention Guided Low-light Image Enhancement with a Large Scale Low-light Simulation Dataset","created":"2019-08-02","cited_by_count":65},{"id":"2007.12391","title":"Artificial Intelligence in the Creative Industries: A Review","created":"2020-07-24","cited_by_count":61},{"id":"2110.00970","title":"Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement","created":"2021-10-03","cited_by_count":60},{"id":"1904.09172","title":"Video Object Segmentation and Tracking: A Survey","created":"2019-04-19","cited_by_count":50},{"id":"2107.11627","title":"Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform","created":"2021-07-24","cited_by_count":50},{"id":"2204.04210","title":"Dancing under the stars: video denoising in starlight","created":"2022-04-08","cited_by_count":47},{"id":"2011.15045","title":"Unsupervised Deep Video Denoising","created":"2020-11-30","cited_by_count":44},{"id":"2101.04822","title":"Plug-and-Play Algorithms for Video Snapshot Compressive Imaging","created":"2021-01-13","cited_by_count":42},{"id":"1801.05117","title":"Reblur2Deblur: Deblurring Videos via Self-Supervised Learning","created":"2018-01-16","cited_by_count":38},{"id":"2103.13767","title":"Patch Craft: Video Denoising by Deep Modeling and Patch Matching","created":"2021-03-25","cited_by_count":38},{"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},{"id":"1811.12766","title":"Model-blind Video Denoising Via Frame-to-frame Training","created":"2018-11-30","cited_by_count":34},{"id":"2407.01519","title":"DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models","created":"2024-07-01","cited_by_count":34},{"id":"2004.11210","title":"Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients","created":"2020-04-23","cited_by_count":27},{"id":"2004.06957","title":"Self-Supervised training for blind multi-frame video denoising","created":"2020-04-15","cited_by_count":26},{"id":"2007.09187","title":"Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping","created":"2020-07-17","cited_by_count":26},{"id":"2204.05532","title":"Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones","created":"2022-04-12","cited_by_count":24},{"id":"2203.09208","title":"Neural Compression-Based Feature Learning for Video Restoration","created":"2022-03-17","cited_by_count":23},{"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},{"id":"1807.04418","title":"Subsampled Turbulence Removal Network","created":"2018-07-12","cited_by_count":22},{"id":"2203.11006","title":"Underwater Light Field Retention : Neural Rendering for Underwater Imaging","created":"2022-03-21","cited_by_count":22},{"id":"2303.09757","title":"Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior","created":"2023-03-17","cited_by_count":22},{"id":"2112.02379","title":"LTT-GAN: Looking Through Turbulence by Inverting GANs","created":"2021-12-04","cited_by_count":21},{"id":"2407.12511","title":"Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations","created":"2024-07-17","cited_by_count":21},{"id":"2307.16508","title":"Towards General Low-Light Raw Noise Synthesis and Modeling","created":"2023-07-31","cited_by_count":19},{"id":"2204.07820","title":"FCL-GAN: A Lightweight and Real-Time Baseline for Unsupervised Blind Image Deblurring","created":"2022-04-16","cited_by_count":18},{"id":"2211.07317","title":"Self-Supervised Image Restoration with Blurry and Noisy Pairs","created":"2022-11-14","cited_by_count":17},{"id":"2308.00247","title":"Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review","created":"2023-08-01","cited_by_count":17},{"id":"2406.07551","title":"Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring","created":"2024-06-11","cited_by_count":17},{"id":"1605.05034","title":"LIME: A Method for Low-light IMage Enhancement","created":"2016-05-17","cited_by_count":16},{"id":"1909.08326","title":"A Survey on Rain Removal from Video and Single Image","created":"2019-09-18","cited_by_count":15},{"id":"2201.07422","title":"Self-Supervised Deep Blind Video Super-Resolution","created":"2022-01-19","cited_by_count":15},{"id":"2210.05361","title":"Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior","created":"2022-10-09","cited_by_count":14},{"id":"2003.04279","title":"Restore from Restored: Video Restoration with Pseudo Clean Video","created":"2020-03-09","cited_by_count":11},{"id":"2407.17193","title":"Unpaired Photo-realistic Image Deraining with Energy-informed Diffusion Model","created":"2024-07-24","cited_by_count":11},{"id":"2409.18783","title":"DualDn: Dual-domain Denoising via Differentiable ISP","created":"2024-09-27","cited_by_count":11},{"id":"2101.01597","title":"Contextual colorization and denoising for low-light ultra high resolution sequences","created":"2021-01-05","cited_by_count":10},{"id":"2409.14587","title":"Deep Learning Techniques for Atmospheric Turbulence Removal: A Review","created":"2024-09-03","cited_by_count":10},{"id":"2308.03608","title":"Recurrent Self-Supervised Video Denoising with Denser Receptive Field","created":"2023-08-07","cited_by_count":8},{"id":"2312.16250","title":"A Comprehensive Study of Object Tracking in Low-Light Environments","created":"2023-12-25","cited_by_count":8},{"id":"2407.01960","title":"Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model","created":"2024-07-02","cited_by_count":8},{"id":"2208.04573","title":"A Topological Loss Function: Image Denoising on a Low-Light Dataset","created":"2022-08-09","cited_by_count":7},{"id":"2306.05675","title":"Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding","created":"2023-06-09","cited_by_count":7},{"id":"2408.12316","title":"Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement","created":"2024-08-22","cited_by_count":7},{"id":"2409.11256","title":"Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers","created":"2024-09-17","cited_by_count":6},{"id":"2308.05404","title":"Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network","created":"2023-08-10","cited_by_count":5},{"id":"2312.07835","title":"Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements","created":"2023-12-13","cited_by_count":5},{"id":"2401.05055","title":"Deep learning in motion deblurring: current status, benchmarks and future prospects","created":"2024-01-10","cited_by_count":5},{"id":"2403.11506","title":"End-To-End Underwater Video Enhancement: Dataset and Model","created":"2024-03-18","cited_by_count":5},{"id":"2503.11175","title":"Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video Enhancement","created":"2025-03-14","cited_by_count":5},{"id":"2505.01869","title":"Visual enhancement and 3D representation for underwater scenes: a review","created":"2025-05-03","cited_by_count":5},{"id":"2403.17502","title":"SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder","created":"2024-03-26","cited_by_count":4},{"id":"2412.11820","title":"Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising","created":"2024-12-16","cited_by_count":4},{"id":"2102.11720","title":"Deep Unrolled Network for Video Super-Resolution","created":"2021-02-23","cited_by_count":3},{"id":"2107.07837","title":"Progressive Deep Video Dehazing without Explicit Alignment Estimation","created":"2021-07-16","cited_by_count":3},{"id":"2307.00179","title":"Unsupervised Coordinate-Based Video Denoising","created":"2023-07-01","cited_by_count":3},{"id":"2411.05886","title":"UnDIVE: Generalized Underwater Video Enhancement Using Generative Priors","created":"2024-11-08","cited_by_count":3},{"id":"2504.12169","title":"Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline","created":"2025-04-16","cited_by_count":3},{"id":"2012.13033","title":"An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement","created":"2020-12-24","cited_by_count":2}],"next_cursor":"100"}