“Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric” by Nehmé, Delanoy, Dupont, Farrugia and Le Callet
Conference:
Type(s):
Title:
- Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric
Session/Category Title: Material Rendering
Presenter(s)/Author(s):
Moderator(s):
Abstract:
We 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.
