q-future Goto Github PK
Name: Visual Evaluation with Foundation Models
Type: Organization
Bio: We are working towards a future that one foundation model can be a multi-purpose expert for low-level visual perception and visual evaluation.
Visual Evaluation with Foundation Models's Projects
.github
We are an open-source collaborative project to bring new possibilities to IQA!
chinese-q-bench
[WIP@Oct 13] 质衡-基准测试 (Q-Bench in Chinese)，包含中文版【底层视觉问答】和【底层视觉描述】数据集，以及中文提示下的图片质量评价。 We will release Q-Bench in more languages in the future.
co-instruct
④[Comparison among Multiple Images!] A study on open-ended multi-image quality comparison: a dataset, a model and a benchmark.
q-align
③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.
q-bench
①[ICLR2024 Spotlight] (GPT-4V/Gemini-Pro/Qwen-VL-Plus+16 OS MLLMs) A benchmark for multi-modality LLMs (MLLMs) on low-level vision and visual quality assessment.
q-instruct
②[CVPR 2024] Low-level visual instruction tuning, with a 200K dataset and a model zoo for fine-tuned checkpoints.
q-refine
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