{"total":23,"rows":[{"id":"2308.03364","title":"Dual Aggregation Transformer for Image Super-Resolution","created":"2023-08-07","cited_by_count":124,"area":null},{"id":"2303.13132","title":"Masked Image Training for Generalizable Deep Image Denoising","created":"2023-03-23","cited_by_count":57,"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":"2408.14562","title":"A Survey of Camouflaged Object Detection and Beyond","created":"2024-08-26","cited_by_count":37,"area":null},{"id":"2403.02601","title":"Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning","created":"2024-03-05","cited_by_count":19,"area":null},{"id":"2504.14582","title":"NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results","created":"2025-04-20","cited_by_count":12,"area":null},{"id":"2604.14558","title":"The Fourth Challenge on Image Super-Resolution ($\\times$4) at NTIRE 2026: Benchmark Results and Method Overview","created":"2026-04-16","cited_by_count":10,"area":null},{"id":"2406.10869","title":"Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution","created":"2024-06-16","cited_by_count":6,"area":null},{"id":"2404.06075","title":"LIPT: Latency-aware Image Processing Transformer","created":"2024-04-09","cited_by_count":3,"area":null},{"id":"2412.03814","title":"Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration","created":"2024-12-05","cited_by_count":3,"area":null},{"id":"2412.07195","title":"A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing","created":"2024-12-10","cited_by_count":3,"area":null},{"id":"2604.07994","title":"SAT: Selective Aggregation Transformer for Image Super-Resolution","created":"2026-04-09","cited_by_count":2,"area":null},{"id":"2410.18083","title":"FIPER: Factorized Features for Robust Image Super-Resolution and Compression","created":"2024-10-23","cited_by_count":1,"area":null},{"id":"2603.06738","title":"Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention","created":"2026-03-06","cited_by_count":1,"area":null},{"id":"2605.00310","title":"Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration","created":"2026-05-01","cited_by_count":1,"area":null},{"id":"2407.15329","title":"Less is More: Skim Transformer for Light Field Image Super-resolution","created":"2024-07-22","cited_by_count":0,"area":null},{"id":"2409.16590","title":"Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract)","created":"2024-09-25","cited_by_count":0,"area":null},{"id":"2505.21262","title":"DiMoSR: Feature Modulation via Multi-Branch Dilated Convolutions for Efficient Image Super-Resolution","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2508.02111","title":"Tackling Ill-posedness of Reversible Image Conversion with Well-posed Invertible Network","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2602.15490","title":"RPT-SR: Regional Prior attention Transformer for infrared image Super-Resolution","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2606.19901","title":"Linear Recurrent Unit with Semantic Modulation for Image Super-Resolution","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2608.07616","title":"HSMLA: Hierarchical Softmax Multi-scale Linear Attention for Efficient Vision Transformers","created":"2026-08-07","cited_by_count":0,"area":null},{"id":"2609.02476","title":"UnCapsTSR: An Unsupervised Transformer-based Image Super-Resolution Approach for Capsule Endoscopy Images","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}