{"total":19,"rows":[{"id":"2307.02457","title":"DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models","created":"2023-07-05","cited_by_count":41,"area":null},{"id":"2405.07023","title":"Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution","created":"2024-05-11","cited_by_count":37,"area":null},{"id":"2205.15242","title":"Re-parameterizing Your Optimizers rather than Architectures","created":"2022-05-30","cited_by_count":35,"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":"2401.05633","title":"Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach","created":"2024-01-11","cited_by_count":13,"area":null},{"id":"2507.01838","title":"MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices","created":"2025-07-02","cited_by_count":12,"area":null},{"id":"2312.10585","title":"ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation","created":"2023-12-17","cited_by_count":9,"area":null},{"id":"2404.00633","title":"IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions","created":"2024-03-31","cited_by_count":7,"area":null},{"id":"2312.10588","title":"Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting","created":"2023-12-17","cited_by_count":6,"area":null},{"id":"2409.14330","title":"Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues","created":"2024-09-22","cited_by_count":5,"area":null},{"id":"2303.04336","title":"QuickSRNet: Plain Single-Image Super-Resolution Architecture for Faster Inference on Mobile Platforms","created":"2023-03-08","cited_by_count":4,"area":null},{"id":"2305.14039","title":"Learning a Single Convolutional Layer Model for Low Light Image Enhancement","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2212.10066","title":"RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction","created":"2022-12-20","cited_by_count":3,"area":null},{"id":"2304.06345","title":"ASR: Attention-alike Structural Re-parameterization","created":"2023-04-13","cited_by_count":2,"area":null},{"id":"2208.12327","title":"DSR: Towards Drone Image Super-Resolution","created":"2022-08-25","cited_by_count":0,"area":null},{"id":"2306.02443","title":"ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes","created":"2023-06-04","cited_by_count":0,"area":null},{"id":"2311.05317","title":"RepQ: Generalizing Quantization-Aware Training for Re-Parametrized Architectures","created":"2023-11-09","cited_by_count":0,"area":null},{"id":"2410.20546","title":"Sebica: Lightweight Spatial and Efficient Bidirectional Channel Attention Super Resolution Network","created":"2024-10-27","cited_by_count":0,"area":null},{"id":"2504.15649","title":"RepNet-VSR: Reparameterizable Architecture for High-Fidelity Video Super-Resolution","created":"2025-04-22","cited_by_count":0,"area":null}],"next_cursor":null}