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  • Shanghai Jiaotong University

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zzc-1998/README.md

Hello, I'm Zicheng Zhang (Homepage)👋

GitHub Followers

  • PhD student at Shanghai Jiaotong University🔭
  • Topics: Quality Assessment, Low-level Vision, Large Multi-modality Models🌱
  • My email: zzc1998@sjtu.edu.cn💬
  • If you find our work useful, please give us stars!! Thank you!!! 👯

Star History

Star History Chart

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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?

    149 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 202 9

  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 294 19

  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 91 6

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

    A benchmark for video quality understanding of LMMs

    Python 108