{"total":25,"rows":[{"id":"2604.11487","title":"NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild","created":"2026-04-13","cited_by_count":18,"area":null},{"id":"2604.06945","title":"NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results","created":"2026-04-08","cited_by_count":16,"area":null},{"id":"2604.10634","title":"NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results","created":"2026-04-12","cited_by_count":14,"area":null},{"id":"2604.10532","title":"The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results","created":"2026-04-12","cited_by_count":13,"area":null},{"id":"2604.11230","title":"NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)","created":"2026-04-13","cited_by_count":12,"area":null},{"id":"2604.12512","title":"NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)","created":"2026-04-14","cited_by_count":12,"area":null},{"id":"2604.04135","title":"NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results","created":"2026-04-05","cited_by_count":11,"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":"2604.14816","title":"NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results","created":"2026-04-16","cited_by_count":10,"area":null},{"id":"2604.05500","title":"CLIP-Guided Data Augmentation for Night-Time Image Dehazing","created":"2026-04-07","cited_by_count":8,"area":null},{"id":"2604.17070","title":"NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report","created":"2026-04-18","cited_by_count":8,"area":null},{"id":"2604.10112","title":"Dual-Branch Remote Sensing Infrared Image Super-Resolution","created":"2026-04-11","cited_by_count":7,"area":null},{"id":"2604.17669","title":"Low Light Image Enhancement Challenge at NTIRE 2026","created":"2026-04-19","cited_by_count":7,"area":null},{"id":"2604.21312","title":"The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview","created":"2026-04-23","cited_by_count":7,"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":"2604.17306","title":"The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview","created":"2026-04-19","cited_by_count":6,"area":null},{"id":"2604.24163","title":"Robust Deepfake Detection, NTIRE 2026 Challenge: Report","created":"2026-04-27","cited_by_count":6,"area":null},{"id":"2604.11468","title":"Beyond Model Design: Data-Centric Training and Self-Ensemble for Gaussian Color Image Denoising","created":"2026-04-13","cited_by_count":5,"area":null},{"id":"2605.03749","title":"FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution","created":"2026-05-05","cited_by_count":2,"area":null},{"id":"2605.05510","title":"The First Controllable Bokeh Rendering Challenge at NTIRE 2026","created":"2026-05-06","cited_by_count":2,"area":null},{"id":"2606.16031","title":"The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results","created":"2026-06-14","cited_by_count":1,"area":null},{"id":"2605.02212","title":"NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2608.09782","title":"NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2609.26731","title":"ASTRA-SR: Atmospheric Seeing and Turbulence Restoration for Astronomical Image Super-Resolution","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.28327","title":"LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}