The NTIRE 2026 RAIM challenge introduces a benchmark where MLLMs must select the superior image from high-quality pairs and provide grounded expert-level explanations for the choice.
NTIRE 2026 Challenge Report on Anomaly Detection of Face Enhancement for UGC Images
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The NTIRE 2026 Challenge released a public dataset of 2,000 videos with crowdsourced saliency maps and reported results from participating teams using standard quality metrics.
The NTIRE 2026 challenge releases the KwaiVIR benchmark for short-form UGC video restoration and reports strong results from 12 teams using generative models on both subjective and objective tracks.
The NTIRE 2026 CD-FSOD Challenge report details innovative methods and performance results from 19 teams on cross-domain few-shot object detection in open- and closed-source tracks.
The NTIRE 2026 challenge provides a dataset of over 294,000 real and AI-generated images with 36 transformations to benchmark robust detection models.
The NTIRE 2026 challenge establishes a benchmark dataset and evaluation protocol for AI restoration of real-world low-light portrait photographs.
Report on the NTIRE 2026 Low Light Image Enhancement Challenge that evaluates 22 team submissions for joint denoising and enhancement on a new dataset.
The NTIRE 2026 Challenge establishes a benchmark for bitstream-corrupted video restoration and summarizes the top methods and observed trends from participating teams.
citing papers explorer
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NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)
The NTIRE 2026 RAIM challenge introduces a benchmark where MLLMs must select the superior image from high-quality pairs and provide grounded expert-level explanations for the choice.
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NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
The NTIRE 2026 Challenge released a public dataset of 2,000 videos with crowdsourced saliency maps and reported results from participating teams using standard quality metrics.
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NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results
The NTIRE 2026 challenge releases the KwaiVIR benchmark for short-form UGC video restoration and reports strong results from 12 teams using generative models on both subjective and objective tracks.
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The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results
The NTIRE 2026 CD-FSOD Challenge report details innovative methods and performance results from 19 teams on cross-domain few-shot object detection in open- and closed-source tracks.
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NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild
The NTIRE 2026 challenge provides a dataset of over 294,000 real and AI-generated images with 36 transformations to benchmark robust detection models.
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NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)
The NTIRE 2026 challenge establishes a benchmark dataset and evaluation protocol for AI restoration of real-world low-light portrait photographs.
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Low Light Image Enhancement Challenge at NTIRE 2026
Report on the NTIRE 2026 Low Light Image Enhancement Challenge that evaluates 22 team submissions for joint denoising and enhancement on a new dataset.
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NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results
The NTIRE 2026 Challenge establishes a benchmark for bitstream-corrupted video restoration and summarizes the top methods and observed trends from participating teams.