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 Robust AI-Generated Image Detection in the Wild
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The inaugural Controllable Bokeh Rendering Challenge at NTIRE 2026 received 8 valid submissions, mostly refinements of the Bokehlicious baseline, evaluated on unseen portrait images via fidelity metrics and expert perceptual assessment.
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.
LoRA-based pairwise training with distortion and size simulations boosts robust AIGI detection under severe distortions, placing third in the NTIRE challenge.
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 for x4 super-resolution of remote sensing infrared images, with 13 teams submitting valid methods evaluated on a dedicated dataset.
The NTIRE 2026 challenge establishes a benchmark dataset and evaluation protocol for AI restoration of real-world low-light portrait photographs.
The NTIRE 2026 E-LLIE challenge evaluated 27 lightweight models for low-light image enhancement and reported advances in balancing quality with mobile efficiency.
The NTIRE 2026 challenge finds that large foundation models combined with ensembles and degradation-aware training produce the most robust deepfake detectors.
The NTIRE 2026 mobile real-world image super-resolution challenge received 16 valid submissions and overviews methods balancing image quality with mobile execution speed.
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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The First Controllable Bokeh Rendering Challenge at NTIRE 2026
The inaugural Controllable Bokeh Rendering Challenge at NTIRE 2026 received 8 valid submissions, mostly refinements of the Bokehlicious baseline, evaluated on unseen portrait images via fidelity metrics and expert perceptual assessment.
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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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Boosting Robust AIGI Detection with LoRA-based Pairwise Training
LoRA-based pairwise training with distortion and size simulations boosts robust AIGI detection under severe distortions, placing third in the NTIRE challenge.
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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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The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
The NTIRE 2026 challenge establishes a benchmark for x4 super-resolution of remote sensing infrared images, with 13 teams submitting valid methods evaluated on a dedicated dataset.
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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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NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results
The NTIRE 2026 E-LLIE challenge evaluated 27 lightweight models for low-light image enhancement and reported advances in balancing quality with mobile efficiency.
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Robust Deepfake Detection, NTIRE 2026 Challenge: Report
The NTIRE 2026 challenge finds that large foundation models combined with ensembles and degradation-aware training produce the most robust deepfake detectors.
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The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
The NTIRE 2026 mobile real-world image super-resolution challenge received 16 valid submissions and overviews methods balancing image quality with mobile execution speed.
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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.