Q-Probe introduces the first agentic IQA framework that scales to high resolutions using context-aware probing, a new Vista-Bench benchmark, and three-stage training to reach state-of-the-art performance across scales.
Q-ponder: A unified training pipeline for reasoning-based visual quality assessment.arXiv preprint arXiv:2506.05384
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MR-IQA unifies regression and ranking in BIQA via a quality-margin optimization framework in RL, showing competitive performance on six benchmarks.
SmartPhotoCrafter performs automatic photographic image editing by coupling an Image Critic module that identifies deficiencies with a Photographic Artist module that generates edits, trained via multi-stage pretraining, reasoning supervision, and reinforcement learning.
citing papers explorer
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Q-Probe: Scaling Image Quality Assessment to High Resolution via Context-Aware Agentic Probing
Q-Probe introduces the first agentic IQA framework that scales to high resolutions using context-aware probing, a new Vista-Bench benchmark, and three-stage training to reach state-of-the-art performance across scales.
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MR-IQA: A Unified Margin View of Regression and Ranking for Blind Image Quality Assessment
MR-IQA unifies regression and ranking in BIQA via a quality-margin optimization framework in RL, showing competitive performance on six benchmarks.
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SmartPhotoCrafter: Unified Reasoning, Generation and Optimization for Automatic Photographic Image Editing
SmartPhotoCrafter performs automatic photographic image editing by coupling an Image Critic module that identifies deficiencies with a Photographic Artist module that generates edits, trained via multi-stage pretraining, reasoning supervision, and reinforcement learning.