--- res: bibo_abstract: - With the wider availability of full-color 3D printers, color-accurate 3D-print preparation has received increased attention. A key challenge lies in the inherent translucency of commonly used print materials that blurs out details of the color texture. Previous work tries to compensate for these scattering effects through strategic assignment of colored primary materials to printer voxels. To date, the highest-quality approach uses iterative optimization that relies on computationally expensive Monte Carlo light transport simulation to predict the surface appearance from subsurface scattering within a given print material distribution; that optimization, however, takes in the order of days on a single machine. In our work, we dramatically speed up the process by replacing the light transport simulation with a data-driven approach. Leveraging a deep neural network to predict the scattering within a highly heterogeneous medium, our method performs around two orders of magnitude faster than Monte Carlo rendering while yielding optimization results of similar quality level. The network is based on an established method from atmospheric cloud rendering, adapted to our domain and extended by a physically motivated weight sharing scheme that substantially reduces the network size. We analyze its performance in an end-to-end print preparation pipeline and compare quality and runtime to alternative approaches, and demonstrate its generalization to unseen geometry and material values. This for the first time enables full heterogenous material optimization for 3D-print preparation within time frames in the order of the actual printing time.@eng bibo_authorlist: - foaf_Person: foaf_givenName: Tobias foaf_name: Rittig, Tobias foaf_surname: Rittig - foaf_Person: foaf_givenName: Denis foaf_name: Sumin, Denis foaf_surname: Sumin - foaf_Person: foaf_givenName: Vahid foaf_name: Babaei, Vahid foaf_surname: Babaei - foaf_Person: foaf_givenName: Piotr foaf_name: Didyk, Piotr foaf_surname: Didyk - foaf_Person: foaf_givenName: Alexey foaf_name: Voloboy, Alexey foaf_surname: Voloboy - foaf_Person: foaf_givenName: Alexander foaf_name: Wilkie, Alexander foaf_surname: Wilkie - foaf_Person: foaf_givenName: Bernd foaf_name: Bickel, Bernd foaf_surname: Bickel foaf_workInfoHomepage: http://www.librecat.org/personId=49876194-F248-11E8-B48F-1D18A9856A87 orcid: 0000-0001-6511-9385 - foaf_Person: foaf_givenName: Karol foaf_name: Myszkowski, Karol foaf_surname: Myszkowski - foaf_Person: foaf_givenName: Tim foaf_name: Weyrich, Tim foaf_surname: Weyrich - foaf_Person: foaf_givenName: Jaroslav foaf_name: Křivánek, Jaroslav foaf_surname: Křivánek bibo_doi: 10.1111/cgf.142626 bibo_issue: '2' bibo_volume: 40 dct_date: 2021^xs_gYear dct_identifier: - UT:000657959600017 dct_isPartOf: - http://id.crossref.org/issn/0167-7055 - http://id.crossref.org/issn/1467-8659 dct_language: eng dct_publisher: Wiley@ dct_title: Neural acceleration of scattering-aware color 3D printing@ ...