{"total":22,"rows":[{"id":"2411.10798","title":"Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution","created":"2024-11-16","cited_by_count":26,"area":null},{"id":"2503.13165","title":"From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective","created":"2025-03-17","cited_by_count":23,"area":null},{"id":"2504.12711","title":"NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results","created":"2025-04-17","cited_by_count":22,"area":null},{"id":"2404.17433","title":"PromptCIR: Blind Compressed Image Restoration with Prompt Learning","created":"2024-04-26","cited_by_count":20,"area":null},{"id":"2407.16957","title":"Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal","created":"2024-07-24","cited_by_count":17,"area":null},{"id":"2504.13131","title":"NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results","created":"2025-04-17","cited_by_count":14,"area":null},{"id":"2504.15003","title":"NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: KwaiSR Dataset and Study","created":"2025-04-21","cited_by_count":11,"area":null},{"id":"2507.14367","title":"Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution","created":"2025-07-18","cited_by_count":6,"area":null},{"id":"2509.06413","title":"VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results","created":"2025-09-08","cited_by_count":5,"area":null},{"id":"2412.00124","title":"Auto-Encoded Supervision for Perceptual Image Super-Resolution","created":"2024-11-28","cited_by_count":4,"area":null},{"id":"2409.05490","title":"A Taxonomy of Miscompressions: Preparing Image Forensics for Neural Compression","created":"2024-09-09","cited_by_count":3,"area":null},{"id":"2503.19295","title":"Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment","created":"2025-03-25","cited_by_count":3,"area":null},{"id":"2510.22534","title":"SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning","created":"2025-10-26","cited_by_count":3,"area":null},{"id":"2508.07788","title":"Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning","created":"2025-08-11","cited_by_count":2,"area":null},{"id":"2509.06442","title":"Perception-oriented Bidirectional Attention Network for Image Super-resolution Quality Assessment","created":"2025-09-08","cited_by_count":2,"area":null},{"id":"2407.01299","title":"Preserving Full Degradation Details for Blind Image Super-Resolution","created":"2024-07-01","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":"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":"2406.13815","title":"IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-Resolution","created":"2024-06-19","cited_by_count":0,"area":null},{"id":"2506.16061","title":"STAR-Pose: Efficient Low-Resolution Video Human Pose Estimation via Spatial-Temporal Adaptive Super-Resolution","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2604.11207","title":"LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment: Methods and Results","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.00605","title":"Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors","created":"2026-05-01","cited_by_count":0,"area":null}],"next_cursor":null}