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Scan2CAD SIGNED

Scan2CAD: Learning to Digitize the Real World

Total Cost €

EC-Contrib. €

Partnership

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Scan2CAD project word cloud

Explore the words cloud of the Scan2CAD project. It provides you a very rough idea of what is the project "Scan2CAD" about.

3d create digital hours ing virtual entertainment accurate industrial scans scanning remarkable display question immersive correlation replicate automatically assets input created models impractical believe technologies countless progress environments reaching algorithms artist observations world age designed representations conditioned reconstructed mixed reconstruction manufacturing despite answer cad medical artists turn limited fundamental professional pipelines shortcomings quality

Project "Scan2CAD" data sheet

The following table provides information about the project.

Coordinator	TECHNISCHE UNIVERSITAET MUENCHEN Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 website: www.tu-muenchen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Total cost	1˙500˙000 €
EC max contribution	1˙500˙000 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2018-STG
Funding Scheme	ERC-STG
Starting year	2019
Duration (year-month-day)	from 2019-01-01 to 2023-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	TECHNISCHE UNIVERSITAET MUENCHEN TECHNISCHE UNIVERSITAET MUENCHEN Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 website: www.tu-muenchen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (MUENCHEN)	coordinator	1˙500˙000.00

Map

Project objective

'One of the most fundamental challenges in the digital age is to automatically create accurate, high-quality 3D representations of the world around us. This would have far-reaching impact, from enabling advances entertainment and immersive technologies (e.g., mixed reality) to medical applications and industrial manufacturing pipelines. Despite remarkable progress in scanning devices and 3D reconstruction algorithms, the resulting models remain highly impractical for display or use in virtual environments. This is due to the limited quality of these reconstructed 3D models, which is still far from the quality of assets designed by professional artists in countless of working hours. We believe that the key to addressing these shortcomings is understanding the design process of artist-created assets. We can then learn the correlation to real-world observations and replicate the process conditioned on these real-world input scans. In this proposal, we will answer the question 'How can we turn 3D scans into CAD-quality 3D assets?'.

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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

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The information about "SCAN2CAD" are provided by the European Opendata Portal: CORDIS opendata.