{"total":16,"rows":[{"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":"2208.03324","title":"Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution","created":"2022-08-05","cited_by_count":19,"area":null},{"id":"2107.09427","title":"RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank","created":"2021-07-20","cited_by_count":13,"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":"2111.04069","title":"Texture-enhanced Light Field Super-resolution with Spatio-Angular Decomposition Kernels","created":"2021-11-07","cited_by_count":3,"area":null},{"id":"2101.00150","title":"Multi-Grid Back-Projection Networks","created":"2021-01-01","cited_by_count":1,"area":null},{"id":"2108.13739","title":"Super-Resolution Appearance Transfer for 4D Human Performances","created":"2021-08-31","cited_by_count":1,"area":null},{"id":"2303.06207","title":"A New Super-Resolution Measurement of Perceptual Quality and Fidelity","created":"2023-03-10","cited_by_count":1,"area":null},{"id":"2509.22692","title":"Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects","created":"2025-09-19","cited_by_count":1,"area":null},{"id":"2112.07589","title":"Mitigating Channel-wise Noise for Single Image Super Resolution","created":"2021-12-14","cited_by_count":0,"area":null},{"id":"2201.00187","title":"Image Restoration using Feature-guidance","created":"2022-01-01","cited_by_count":0,"area":null},{"id":"2201.09109","title":"Robust Unpaired Single Image Super-Resolution of Faces","created":"2022-01-22","cited_by_count":0,"area":null},{"id":"2201.11996","title":"Deep Networks for Image and Video Super-Resolution","created":"2022-01-28","cited_by_count":0,"area":null},{"id":"2201.11998","title":"Image Superresolution using Scale-Recurrent Dense Network","created":"2022-01-28","cited_by_count":0,"area":null},{"id":"2403.10589","title":"A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2503.13745","title":"FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution","created":"2025-03-17","cited_by_count":0,"area":null}],"next_cursor":null}