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@VQAssessment

NTU Visual Quality Assessment Group

Affiliated to S-Lab, Nanyang Technological University.
README.md

📷 Visual Quality Assessment Project

Maintained by: Teo Wu (Haoning Wu)

🌟New: We have published Q-Bench: a benchmark for multi-modality large language models (MLLMs) on low-level vision and visual quality assessment!

See our 🖥️codebase and 📑paper!

We are a young research team from Nanyang Technological University (NTU) and Sensetime Research, aiming to build efficient and explainable Image and Video Quality Assessment approaches as well as exploring the perceptual mechanisms behind the human quality perception.

✨ Publications & Preprints

Code repositories to our works under the project:

MaxVQA and MaxWell database (ACM MM, 2023) Paper

Zero-shot BVQI (ICME Oral, 2023) Paper Extension

DOVER (ICCV, 2023) Paper PWC

FAST-VQA/FasterVQA (ECCV, 2022; TPAMI, 2023) Paper Extension

TPQI Matlab, Pytorch (ACM MM Oral, 2022) Paper

DisCoVQA (TCSVT, 2023) Paper

🧰 Open-source Toolboxes

Video Quality Assessment: End-to-end VQA

Image Quality Assessment: IQA-Pytorch

👨👩 Our Team

Supervisor: Prof Weisi Lin

Co-Supervisors from Sensetime: Dr. Wenxiu Sun, Dr. Qiong Yan

PhD Students: Haoning Wu, Jingwen Hou

Research Fellows (alphabetical order): Dr. Chaofeng Chen, Dr. Liang Liao

Pinned Loading

  1. DOVER DOVER Public

    [ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.

    Jupyter Notebook 272 29

  2. FAST-VQA-and-FasterVQA FAST-VQA-and-FasterVQA Public

    [ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.

    Jupyter Notebook 249 25

  3. ExplainableVQA ExplainableVQA Public

    [ACMMM Oral, 2023] "Towards Explainable In-the-wild Video Quality Assessment: A Database and a Language-Prompted Approach"

    Python 68 6

  4. BVQI BVQI Public

    [ICME 2023 Oral, Extended to TIP (UR)] The best zero-shot VQA approach that even outperforms several fully-supervised methods.

    Python 36 4

Repositories

Showing 8 of 8 repositories
  • ExplainableVQA Public

    [ACMMM Oral, 2023] "Towards Explainable In-the-wild Video Quality Assessment: A Database and a Language-Prompted Approach"

    VQAssessment/ExplainableVQA’s past year of commit activity
    Python 68 6 6 0 Updated Aug 12, 2024
  • DOVER Public

    [ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.

    VQAssessment/DOVER’s past year of commit activity
    Jupyter Notebook 272 29 9 0 Updated Aug 12, 2024
  • FAST-VQA-and-FasterVQA Public

    [ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.

    VQAssessment/FAST-VQA-and-FasterVQA’s past year of commit activity
    Jupyter Notebook 249 25 10 0 Updated Aug 12, 2024
  • Q-Bench Public Forked from Q-Future/Q-Bench

    An archived version of Q-Bench. We will make updates in https://github.com/q-future/Q-Bench in the future.

    VQAssessment/Q-Bench’s past year of commit activity
    Jupyter Notebook 12 12 0 0 Updated Nov 16, 2023
  • .github Public
    VQAssessment/.github’s past year of commit activity
    0 0 0 0 Updated Oct 15, 2023
  • vqassessment.github.io Public

    Homepage of our group.

    VQAssessment/vqassessment.github.io’s past year of commit activity
    0 MIT 0 0 0 Updated Oct 4, 2023
  • BVQI Public

    [ICME 2023 Oral, Extended to TIP (UR)] The best zero-shot VQA approach that even outperforms several fully-supervised methods.

    VQAssessment/BVQI’s past year of commit activity
    Python 36 MIT 4 0 0 Updated Jul 11, 2023
  • DisCoVQA Public

    Placeholder repository for ArXiv Preprint paper "DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessment". Full code will be released later.

    VQAssessment/DisCoVQA’s past year of commit activity
    5 0 3 0 Updated Nov 28, 2022

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