{"total":151,"rows":[{"id":"2212.14532","title":"Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning","created":"2022-12-30","cited_by_count":308,"area":null},{"id":"2107.03721","title":"Demystifying the Draft EU Artificial Intelligence Act","created":"2021-07-08","cited_by_count":84,"area":null},{"id":"2102.07364","title":"Intermediate Layer Optimization for Inverse Problems using Deep Generative Models","created":"2021-02-15","cited_by_count":70,"area":null},{"id":"2103.02368","title":"Real-World Single Image Super-Resolution: A Brief Review","created":"2021-03-03","cited_by_count":65,"area":null},{"id":"2106.14490","title":"Making Images Real Again: A Comprehensive Survey on Deep Image Composition","created":"2021-06-28","cited_by_count":63,"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":"2101.03749","title":"Deep Learning-based Face Super-Resolution: A Survey","created":"2021-01-11","cited_by_count":32,"area":null},{"id":"2301.10937","title":"Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows","created":"2023-01-26","cited_by_count":31,"area":null},{"id":"2308.06468","title":"Tiny and Efficient Model for the Edge Detection Generalization","created":"2023-08-12","cited_by_count":28,"area":null},{"id":"2105.01237","title":"COMISR: Compression-Informed Video Super-Resolution","created":"2021-05-04","cited_by_count":26,"area":null},{"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":"2106.07910","title":"Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration","created":"2021-06-15","cited_by_count":23,"area":null},{"id":"2112.02379","title":"LTT-GAN: Looking Through Turbulence by Inverting GANs","created":"2021-12-04","cited_by_count":21,"area":null},{"id":"2112.04488","title":"A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution","created":"2021-12-08","cited_by_count":19,"area":null},{"id":"2304.13385","title":"Low-field magnetic resonance image enhancement via stochastic image quality transfer","created":"2023-04-26","cited_by_count":19,"area":null},{"id":"2111.03260","title":"Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Art","created":"2021-11-05","cited_by_count":17,"area":null},{"id":"2211.02831","title":"Deep Face Restoration: A Survey","created":"2022-11-05","cited_by_count":17,"area":null},{"id":"2404.04878","title":"CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data","created":"2024-04-07","cited_by_count":15,"area":null},{"id":"2103.13634","title":"Asymmetric CNN for image super-resolution","created":"2021-03-25","cited_by_count":14,"area":null},{"id":"2111.08685","title":"A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution","created":"2021-11-16","cited_by_count":14,"area":null},{"id":"2310.04180","title":"Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution","created":"2023-10-06","cited_by_count":14,"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":"2204.13620","title":"Generative Adversarial Networks for Image Super-Resolution: A Survey","created":"2022-04-28","cited_by_count":11,"area":null},{"id":"2206.09104","title":"Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems","created":"2022-06-18","cited_by_count":11,"area":null},{"id":"2209.12406","title":"A heterogeneous group CNN for image super-resolution","created":"2022-09-26","cited_by_count":11,"area":null},{"id":"2206.03697","title":"Blind Face Restoration: Benchmark Datasets and a Baseline Model","created":"2022-06-08","cited_by_count":10,"area":null},{"id":"2106.03727","title":"Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions","created":"2021-06-07","cited_by_count":9,"area":null},{"id":"2107.02338","title":"Impact of deep learning-based image super-resolution on binary signal detection","created":"2021-07-06","cited_by_count":9,"area":null},{"id":"2108.11505","title":"Generalized Real-World Super-Resolution through Adversarial Robustness","created":"2021-08-25","cited_by_count":9,"area":null},{"id":"2201.04898","title":"Flexible Style Image Super-Resolution using Conditional Objective","created":"2022-01-13","cited_by_count":9,"area":null},{"id":"2303.09190","title":"Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy","created":"2023-03-16","cited_by_count":9,"area":null},{"id":"2106.15395","title":"Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images","created":"2021-06-29","cited_by_count":8,"area":null},{"id":"2108.07667","title":"SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets","created":"2021-08-17","cited_by_count":8,"area":null},{"id":"2203.15598","title":"Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder","created":"2022-03-29","cited_by_count":8,"area":null},{"id":"2210.17319","title":"Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems","created":"2022-10-31","cited_by_count":8,"area":null},{"id":"2107.05307","title":"Real-Time Super-Resolution System of 4K-Video Based on Deep Learning","created":"2021-07-12","cited_by_count":7,"area":null},{"id":"2109.08880","title":"Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision","created":"2021-09-18","cited_by_count":7,"area":null},{"id":"2110.12114","title":"Dense Dual-Attention Network for Light Field Image Super-Resolution","created":"2021-10-23","cited_by_count":7,"area":null},{"id":"2203.05568","title":"Unfolded Deep Kernel Estimation for Blind Image Super-resolution","created":"2022-03-10","cited_by_count":7,"area":null},{"id":"2205.14548","title":"Image Super-resolution with An Enhanced Group Convolutional Neural Network","created":"2022-05-29","cited_by_count":7,"area":null},{"id":"2310.04964","title":"Learning Many-to-Many Mapping for Unpaired Real-World Image Super-resolution and Downscaling","created":"2023-10-08","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":"2203.06841","title":"STDAN: Deformable Attention Network for Space-Time Video Super-Resolution","created":"2022-03-14","cited_by_count":6,"area":null},{"id":"2207.10395","title":"Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives","created":"2022-07-21","cited_by_count":6,"area":null},{"id":"2212.01624","title":"Learning Detail-Structure Alternative Optimization for Blind Super-Resolution","created":"2022-12-03","cited_by_count":6,"area":null},{"id":"2212.04968","title":"SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering","created":"2022-12-09","cited_by_count":6,"area":null},{"id":"2404.16409","title":"Cross-sensor super-resolution of irregularly sampled Sentinel-2 time series","created":"2024-04-25","cited_by_count":6,"area":null},{"id":"2206.04688","title":"A New Frontier of AI: On-Device AI Training and Personalization","created":"2022-06-09","cited_by_count":5,"area":null},{"id":"2508.05160","title":"Rotation Equivariant Arbitrary-scale Image Super-Resolution","created":"2025-08-07","cited_by_count":5,"area":null},{"id":"2110.15655","title":"Scale-Aware Dynamic Network for Continuous-Scale Super-Resolution","created":"2021-10-29","cited_by_count":4,"area":null},{"id":"2203.10462","title":"Optical Flow for Video Super-Resolution: A Survey","created":"2022-03-20","cited_by_count":4,"area":null},{"id":"2208.14839","title":"QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise","created":"2022-08-31","cited_by_count":4,"area":null},{"id":"2210.07751","title":"Blind Super-Resolution for Remote Sensing Images via Conditional Stochastic Normalizing Flows","created":"2022-10-14","cited_by_count":4,"area":null},{"id":"2308.09025","title":"SR-GAN for SR-gamma: super resolution of photon calorimeter images at collider experiments","created":"2023-08-17","cited_by_count":4,"area":null},{"id":"2407.14972","title":"ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition","created":"2024-07-20","cited_by_count":4,"area":null},{"id":"2101.07996","title":"SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices","created":"2021-01-20","cited_by_count":3,"area":null},{"id":"2102.08449","title":"Selfie Periocular Verification using an Efficient Super-Resolution Approach","created":"2021-02-16","cited_by_count":3,"area":null},{"id":"2106.14336","title":"Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency","created":"2021-06-27","cited_by_count":3,"area":null},{"id":"2107.01330","title":"SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network","created":"2021-07-03","cited_by_count":3,"area":null},{"id":"2201.09314","title":"Perceptual cGAN for MRI Super-resolution","created":"2022-01-23","cited_by_count":3,"area":null},{"id":"2202.03564","title":"Accurate super-resolution low-field brain MRI","created":"2022-02-07","cited_by_count":3,"area":null},{"id":"2311.14464","title":"Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation","created":"2023-11-24","cited_by_count":3,"area":null},{"id":"2401.10537","title":"Learning Position-Aware Implicit Neural Network for Real-World Face Inpainting","created":"2024-01-19","cited_by_count":3,"area":null},{"id":"2403.10925","title":"Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution","created":"2024-03-16","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":"2412.11609","title":"CLIP-SR: Collaborative Linguistic and Image Processing for Super-Resolution","created":"2024-12-16","cited_by_count":3,"area":null},{"id":"2505.23010","title":"SeG-SR: Integrating Semantic Knowledge into Remote Sensing Image Super-Resolution via Vision-Language Model","created":"2025-05-29","cited_by_count":3,"area":null},{"id":"2508.08173","title":"CD-TVD: Contrastive Diffusion for 3D Super-Resolution with Scarce High-Resolution Time-Varying Data","created":"2025-08-11","cited_by_count":3,"area":null},{"id":"2106.13064","title":"Advancing biological super-resolution microscopy through deep learning: a brief review","created":"2021-06-24","cited_by_count":2,"area":null},{"id":"2204.11769","title":"Multi-scale reconstruction of undersampled spectral-spatial OCT data for coronary imaging using deep learning","created":"2022-04-25","cited_by_count":2,"area":null},{"id":"2206.01777","title":"Real-Time Super-Resolution for Real-World Images on Mobile Devices","created":"2022-06-03","cited_by_count":2,"area":null},{"id":"2206.05049","title":"Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery","created":"2022-06-09","cited_by_count":2,"area":null},{"id":"2310.10413","title":"Image super-resolution via dynamic network","created":"2023-10-16","cited_by_count":2,"area":null},{"id":"2311.05726","title":"Neural Network Methods for Radiation Detectors and Imaging","created":"2023-11-09","cited_by_count":2,"area":null},{"id":"2312.07934","title":"Toward Real World Stereo Image Super-Resolution via Hybrid Degradation Model and Discriminator for Implied Stereo Image Information","created":"2023-12-13","cited_by_count":2,"area":null},{"id":"2401.10306","title":"Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations","created":"2024-01-18","cited_by_count":2,"area":null},{"id":"2402.14049","title":"Generative Adversarial Models for Extreme Geospatial Downscaling","created":"2024-02-21","cited_by_count":2,"area":null},{"id":"2403.18302","title":"Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network","created":"2024-03-27","cited_by_count":2,"area":null},{"id":"2407.02670","title":"Adversarial Magnification to Deceive Deepfake Detection through Super Resolution","created":"2024-07-02","cited_by_count":2,"area":null},{"id":"2103.04354","title":"Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery","created":"2021-03-07","cited_by_count":1,"area":null},{"id":"2105.10738","title":"MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution","created":"2021-05-22","cited_by_count":1,"area":null},{"id":"2105.12038","title":"Unpaired Depth Super-Resolution in the Wild","created":"2021-05-25","cited_by_count":1,"area":null},{"id":"2106.06924","title":"Deep Learning for Predictive Analytics in Reversible Steganography","created":"2021-06-13","cited_by_count":1,"area":null},{"id":"2106.15020","title":"On the potential of sequential and non-sequential regression models for Sentinel-1-based biomass prediction in Tanzanian miombo forests","created":"2021-06-21","cited_by_count":1,"area":null},{"id":"2109.13897","title":"Image scaling by de la Vall\\'ee-Poussin filtered interpolation","created":"2021-09-28","cited_by_count":1,"area":null},{"id":"2112.10683","title":"SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network","created":"2021-12-20","cited_by_count":1,"area":null},{"id":"2201.01415","title":"Problem-dependent attention and effort in neural networks with applications to image resolution and model selection","created":"2022-01-05","cited_by_count":1,"area":null},{"id":"2203.00116","title":"Enhancing Satellite Imagery using Deep Learning for the Sensor To Shooter Timeline","created":"2022-02-28","cited_by_count":1,"area":null},{"id":"2208.13029","title":"Multi-Outputs Is All You Need For Deblur","created":"2022-08-27","cited_by_count":1,"area":null},{"id":"2302.11184","title":"A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning","created":"2023-02-22","cited_by_count":1,"area":null},{"id":"2302.14533","title":"DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis","created":"2023-02-28","cited_by_count":1,"area":null},{"id":"2305.05835","title":"Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation","created":"2023-05-10","cited_by_count":1,"area":null},{"id":"2305.09302","title":"Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using Deep Learning Embedded Solutions","created":"2023-05-16","cited_by_count":1,"area":null},{"id":"2312.12476","title":"DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling","created":"2023-12-19","cited_by_count":1,"area":null},{"id":"2402.09249","title":"Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions","created":"2024-02-14","cited_by_count":1,"area":null},{"id":"2403.17847","title":"Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2407.08993","title":"Task-driven single-image super-resolution reconstruction of document scans","created":"2024-07-12","cited_by_count":1,"area":null},{"id":"2408.07642","title":"Boosting Unconstrained Face Recognition with Targeted Style Adversary","created":"2024-08-14","cited_by_count":1,"area":null},{"id":"2409.18057","title":"LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2410.05410","title":"Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes","created":"2024-10-07","cited_by_count":1,"area":null}],"next_cursor":"100"}