{"total":48,"rows":[{"id":"2404.10343","title":"The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report","created":"2024-04-16","cited_by_count":57,"area":null},{"id":"2504.10686","title":"The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report","created":"2025-04-14","cited_by_count":26,"area":null},{"id":"2604.03198","title":"The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report","created":"2026-04-03","cited_by_count":25,"area":null},{"id":"2311.12770","title":"Swift Parameter-free Attention Network for Efficient Super-Resolution","created":"2023-11-21","cited_by_count":24,"area":null},{"id":"2402.03412","title":"See More Details: Efficient Image Super-Resolution by Experts Mining","created":"2024-02-05","cited_by_count":23,"area":null},{"id":"2404.16484","title":"Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey","created":"2024-04-25","cited_by_count":19,"area":null},{"id":"2411.06456","title":"Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration","created":"2024-11-10","cited_by_count":19,"area":null},{"id":"2503.06896","title":"CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution","created":"2025-03-10","cited_by_count":16,"area":null},{"id":"2503.10047","title":"Dual-domain Modulation Network for Lightweight Image Super-Resolution","created":"2025-03-13","cited_by_count":8,"area":null},{"id":"2404.11848","title":"Partial Large Kernel CNNs for Efficient Super-Resolution","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2409.17256","title":"AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content","created":"2024-09-25","cited_by_count":7,"area":null},{"id":"2404.16223","title":"Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey","created":"2024-04-24","cited_by_count":6,"area":null},{"id":"2503.04223","title":"Spiking Meets Attention: Efficient Remote Sensing Image Super-Resolution with Attention Spiking Neural Networks","created":"2025-03-06","cited_by_count":6,"area":null},{"id":"2604.11564","title":"Training-Free Model Ensemble for Single-Image Super-Resolution via Strong-Branch Compensation","created":"2026-04-13","cited_by_count":6,"area":null},{"id":"2307.04593","title":"DWA: Differential Wavelet Amplifier for Image Super-Resolution","created":"2023-07-10","cited_by_count":4,"area":null},{"id":"2309.17334","title":"Multi-Depth Branch Network for Efficient Image Super-Resolution","created":"2023-09-29","cited_by_count":4,"area":null},{"id":"2503.07856","title":"Blind Video Super-Resolution based on Implicit Kernels","created":"2025-03-10","cited_by_count":4,"area":null},{"id":"2404.06075","title":"LIPT: Latency-aware Image Processing Transformer","created":"2024-04-09","cited_by_count":3,"area":null},{"id":"2508.11893","title":"Large Kernel Modulation Network for Efficient Image Super-Resolution","created":"2025-08-16","cited_by_count":3,"area":null},{"id":"2512.14061","title":"Bridging Fidelity-Reality with Controllable One-Step Diffusion for Image Super-Resolution","created":"2025-12-16","cited_by_count":3,"area":null},{"id":"2504.11271","title":"Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution","created":"2025-04-15","cited_by_count":2,"area":null},{"id":"2405.09353","title":"Large coordinate kernel attention network for lightweight image super-resolution","created":"2024-05-15","cited_by_count":1,"area":null},{"id":"2406.02021","title":"FFNet: MetaMixer-based Efficient Convolutional Mixer Design","created":"2024-06-04","cited_by_count":1,"area":null},{"id":"2409.03516","title":"LMLT: Low-to-high Multi-Level Vision Transformer for Image Super-Resolution","created":"2024-09-05","cited_by_count":1,"area":null},{"id":"2412.04591","title":"Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging","created":"2024-12-05","cited_by_count":1,"area":null},{"id":"2503.07748","title":"AdaptSR: Low-Rank Adaptation for Efficient and Scalable Real-World Super-Resolution","created":"2025-03-10","cited_by_count":1,"area":null},{"id":"2503.21208","title":"An improved EfficientNetV2 for garbage classification","created":"2025-03-27","cited_by_count":1,"area":null},{"id":"2507.22407","title":"Moir\\'e Zero: An Efficient and High-Performance Neural Architecture for Moir\\'e Removal","created":"2025-07-30","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":"2511.05009","title":"UHDRes: Ultra-High-Definition Image Restoration via Dual-Domain Decoupled Spectral Modulation","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2605.17470","title":"EchoSR: Efficient Context Harnessing for Lightweight Image Super-Resolution","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2312.16455","title":"Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer","created":"2023-12-27","cited_by_count":0,"area":null},{"id":"2405.01085","title":"Single Image Super-Resolution Based on Global-Local Information Synergy","created":"2024-05-02","cited_by_count":0,"area":null},{"id":"2412.02234","title":"CubeFormer: A Simple yet Effective Baseline for Lightweight Image Super-Resolution","created":"2024-12-03","cited_by_count":0,"area":null},{"id":"2503.13179","title":"A super-resolution reconstruction method for lightweight building images based on an expanding feature modulation network","created":"2025-03-17","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":"2508.11391","title":"LKFMixer: Exploring Large Kernel Feature For Efficient Image Super-Resolution","created":"2025-08-15","cited_by_count":0,"area":null},{"id":"2509.11926","title":"Unrolling Graph-based Douglas-Rachford Algorithm for Image Interpolation with Informed Initialization","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2509.15259","title":"IEFS-GMB: Gradient Memory Bank-Guided Feature Selection Based on Information Entropy for EEG Classification of Neurological Disorders","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2510.06564","title":"HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution","created":"2025-10-08","cited_by_count":0,"area":null},{"id":"2510.12765","title":"Efficient Perceptual Image Super Resolution: AIM 2025 Study and Benchmark","created":"2025-10-14","cited_by_count":0,"area":null},{"id":"2601.12747","title":"SSPFormer: Self-Supervised Pretrained Transformer for MRI Images","created":"2026-01-19","cited_by_count":0,"area":null},{"id":"2601.19157","title":"GTFMN: Guided Texture and Feature Modulation Network for Low-Light Image Enhancement and Super-Resolution","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2602.11339","title":"Exploring Real-Time Super-Resolution: Benchmarking and Fine-Tuning for Streaming Content","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2605.25892","title":"SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2607.11088","title":"CUST: Clustered Unit-level Similarity Transformer for Lightweight Image Super-Resolution","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2608.13967","title":"SAFE: Scene-Aware Feature Modulation for Color Constancy with Learned Color Space in Pure-Color Scenes","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.15423","title":"Dual-Branch State-Displacement Network for Sea Surface Temperature Super-Resolution","created":"2026-08-15","cited_by_count":0,"area":null}],"next_cursor":null}