🔖Aiming at next-era cornerstone research
⭐ Low-level Visual Perception | Multi-Modality Large Language Models | Visual Quality Assessment
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④Co-Instruct: Homepage, Repo, Demo. Open-ended visual quality comparer (up to 4 images), low-level visual assistant, an improved version of ②Q-Instruct [CVPR 2024].
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③Q-Align: Homepage, Repo, Demo. A unified visual scorer for images and videos, via text-instructed alignment on multi-modality foundation models; can efficiently fine-tune to more datasets with stable good performance. State-of-the-art on IQA, VQA, and IAA.
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②Q-Instruct [CVPR 2024]: Homepage, Repo, 200K Dataset, Technical Report A large-scale instruction tuning dataset to improve low-level perceptual abilities of foundation models.
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①Q-Bench+ [ICLR2024, Spotlight]: Homepage, Repo, Data-Single, Data-Pair, Preprint The first low-level benchmark for foundation models on low-level vision.
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Q-Boost: Homepage A discussion on boosting the IQA performance for non-specially-IQA-aligned MLLMs.
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[Pending]Chinese-Q-Bench/质衡: Homepage, Repo The first attempt to test multi-lingual abilities on low-level vision.
Maintained by Teo Wu@Singapore and Zicheng Zhang@Shanghai.
