Rendering 3D images with attributes learned from 2D images via Deep Learning

Project description

Drawing a new era for computer graphics

Technology is forever changing classroom instruction and learning in general. From online classes to virtual museum tours and improved gaming experiences, advances in technology are opening new frontiers. In this context, the EU-funded 3DIS-NN project is bringing to market a 3D image synthesis (3DIS) technology to render objects from different views to enable numerous applications in computer graphics and computer vision. By disentangling the attributes of objects and entangling them via a renderer for synthesising, the 3DIS can provide a technology to learn useful features from our visual world that can be used for video understanding, one of the biggest goals of artificial intelligence.

Fields of science

• natural sciences › computer and information sciences › artificial intelligence › computer vision
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning
• natural sciences › mathematics › pure mathematics › geometry
• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › robotics
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2020 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2020

See other projects for this call

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

BILKENT UNIVERSITESI VAKIF

Net EU contribution

€ 145 355,52

Address

Eskisehir Yolu 8 Km
06800 Bilkent Ankara
Türkiye

Region

Batı Anadolu › Ankara › Ankara

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 0,00