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1. Q-Future/A-Bench Q-Future/A-Bench Public

   [LMM + AIGC] What do we expect from LMMs as AIGI evaluators and how do they perform?

   148 3

2. Q-Future/Q-Instruct Q-Future/Q-Instruct Public

   ②[CVPR 2024] Low-level visual instruction tuning, with a 200K dataset and a model zoo for fine-tuned checkpoints.

   Python 198 8

3. Q-Future/Q-Bench Q-Future/Q-Bench Public

   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.

   Jupyter Notebook 248 12

4. Q-Future/Q-Align Q-Future/Q-Align Public

   ③[ICML2024] [IQA, IAA, VQA] All-in-one Foundation Model for visual scoring. Can efficiently fine-tune to downstream datasets.

   Python 277 18

5. Point-cloud-quality-assessment Point-cloud-quality-assessment Public

   Collections of papers, databases, and codes targeted at point cloud quality assessment (PCQA), mesh quality assessment (MQA), 3D model quality assessment (3DQA).

   Python 89 6

6. Q-Future/Q-Bench-Video Q-Future/Q-Bench-Video Public

   A benchmark for video quality understanding of LMMs

   Python 105