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Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric
DescriptionWe present a dataset and metric for the visual quality assessment of textured meshes. The dataset contains 343K distorted meshes of which 3,000 have been subjectively rated in a crowdsourcing study. Leveraging this dataset, we propose a learning-based perceptual metric able to predict the perceived visual quality.
LocationPetree Hall D
Research & Education
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