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.
hub
NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)
13 Pith papers cite this work. Polarity classification is still indexing.
13
Pith papers citing it
hub tools
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 13years
2026 13roles
background 1polarities
background 1representative citing papers
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 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 RAIM challenge provides a new benchmark dataset and leaderboard for multi-exposure image fusion in dynamic scenes, attracting 114 teams.
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.
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 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
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)
The NTIRE 2026 RAIM challenge provides a new benchmark dataset and leaderboard for multi-exposure image fusion in dynamic scenes, attracting 114 teams.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.