Cited By
View all- Goh GSing SYeong W(2020)A review on machine learning in 3D printing: applications, potential, and challengesArtificial Intelligence Review10.1007/s10462-020-09876-9Online publication date: 16-Jul-2020
We present an efficient and scalable pipeline for fabricating full-colored objects with spatially-varying translucency from practical and accessible input data via multi-material 3D printing. Observing that the costs associated with BSSRDF measurement ...
High fidelity reproductions of paintings provide new opportunities to museums in preserving and providing access to cultural heritage. This article presents an integrated system that is able to capture and fabricate color, topography and gloss of a ...
A new method fabricates custom surface reflectance and spatially varying bidirectional reflectance distribution functions (svBRDFs). Researchers optimize a microgeometry for a range of normal distribution functions and simulate the resulting surface's ...
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