{"total":20,"rows":[{"id":"2103.02368","title":"Real-World Single Image Super-Resolution: A Brief Review","created":"2021-03-03","cited_by_count":65,"area":null},{"id":"2203.04962","title":"Learning the Degradation Distribution for Blind Image Super-Resolution","created":"2022-03-09","cited_by_count":27,"area":null},{"id":"2105.06878","title":"End-to-end Alternating Optimization for Blind Super Resolution","created":"2021-05-14","cited_by_count":17,"area":null},{"id":"2109.11736","title":"Unaligned Image-to-Image Translation by Learning to Reweight","created":"2021-09-24","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":"2205.03777","title":"Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution","created":"2022-05-08","cited_by_count":9,"area":null},{"id":"2308.08816","title":"End-to-end Alternating Optimization for Real-World Blind Super Resolution","created":"2023-08-17","cited_by_count":8,"area":null},{"id":"2506.14605","title":"Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching","created":"2025-06-17","cited_by_count":5,"area":null},{"id":"2211.03058","title":"Towards Real World HDRTV Reconstruction: A Data Synthesis-based Approach","created":"2022-11-06","cited_by_count":4,"area":null},{"id":"2104.00100","title":"MR Slice Profile Estimation by Learning to Match Internal Patch Distributions","created":"2021-03-31","cited_by_count":2,"area":null},{"id":"2104.02663","title":"Test-Time Adaptation for Super-Resolution: You Only Need to Overfit on a Few More Images","created":"2021-04-06","cited_by_count":2,"area":null},{"id":"2302.02849","title":"An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal","created":"2023-02-06","cited_by_count":2,"area":null},{"id":"2309.17269","title":"Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN","created":"2023-09-29","cited_by_count":2,"area":null},{"id":"2105.11857","title":"Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution","created":"2021-05-25","cited_by_count":1,"area":null},{"id":"2206.08345","title":"Real-World Single Image Super-Resolution Under Rainy Condition","created":"2022-06-16","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},{"id":"2301.10575","title":"Trainable Loss Weights in Super-Resolution","created":"2023-01-25","cited_by_count":0,"area":null},{"id":"2403.08566","title":"A Novel Implicit Neural Representation for Volume Data","created":"2024-03-13","cited_by_count":0,"area":null},{"id":"2506.17027","title":"Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns","created":"2025-06-20","cited_by_count":0,"area":null},{"id":"2609.35120","title":"Style-Driven Data Synthesis and Degradation-Aware Enhancement for Ultrasound Image Restoration","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}