Image Quality Assessment using Synthetic Images

Author:

Madhusudana Pavan C.1,Birkbeck Neil2,Wang Yilin2,Adsumilli Balu2,Bovik Alan C.1

Affiliation:

1. UT Austin

2. Google Inc.

Funder

National Science Foundation

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integrating synthetic data validation and quality benchmarks into a continuous integration/continuous delivery (CI/CD) data-generation pipeline;Anomaly Detection and Imaging with X-Rays (ADIX) IX;2024-06-07

2. Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Semi-Supervised Learning for Low-light Image Restoration through Quality Assisted Pseudo-Labeling;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

5. No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

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