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Quality assessment for view synthesis using low-level and mid-level structural representation.

, , , and . Signal Process. Image Commun., (2019)

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How to Learn the Effect of Non-Uniform Distortion on Perceived Visual Quality? Case Study Using Convolutional Sparse Coding for Quality Assessment of Synthesized Views., and . ICIP, page 286-290. IEEE, (2018)Improve the Interpretability of Attention: A Fast, Accurate, and Interpretable High-Resolution Attention Model., , , and . CoRR, (2021)Considering user agreement in learning to predict the aesthetic quality., , , and . CoRR, (2021)A Subjective Study of Multi-Dimensional Aesthetic Assessment for Mobile Game Image., , , , , , and . QoEVMA @ ACM Multimedia, page 47-53. ACM, (2020)A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories., , , , , and . CoRR, (2019)Quality assessment for view synthesis using low-level and mid-level structural representation., , , and . Signal Process. Image Commun., (2019)Image Quality Assessment for DIBR Synthesized Views using Elastic Metric., and . ACM Multimedia, page 1157-1163. ACM, (2017)GANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views., , , and . CoRR, (2019)BR-NPA: A non-parametric high-resolution attention model to improve the interpretability of attention., , , and . Pattern Recognit., (2022)Quality Assessment of Free-Viewpoint Videos by Quantifying the Elastic Changes of Multi-Scale Motion Trajectories., , , , , and . IEEE Trans. Image Process., (2021)