Blar i NTNU Open på forfatter "Chen, Danwu"

Viser treff 1-3 av 3

    • Deep learning models for optically characterizing 3D printers 

      Chen, Danwu; Urban, Philipp (Peer reviewed; Journal article, 2021)
      Multi-material 3D printers are able to create material arrangements possessing various optical properties. To reproduce these properties, an optical printer model that accurately predicts optical properties from the printer’s ...

    • Inducing robustness and plausibility in deep learning optical 3D printer models 

      Chen, Danwu; Urban, Philipp (Peer reviewed; Journal article, 2022)
      Optical 3D printer models characterize multimaterial 3D printers by predicting optical or visual quantities from material arrangements or tonal values. Their accuracy and robustness to noisy training data are crucial for ...

    • Multi-printer learning framework for efficient optical printer characterization 

      Chen, Danwu; Urban, Philipp Markus (Peer reviewed; Journal article, 2023)
      A high prediction accuracy of optical printer models is a prerequisite for accurately reproducing visual attributes (color, gloss, translucency) in multimaterial 3D printing. Recently, deep-learning-based models have been ...