{"id":18191,"date":"2022-09-07T09:01:45","date_gmt":"2022-09-07T09:01:45","guid":{"rendered":"https:\/\/arbrea-labs.com\/?page_id=18191"},"modified":"2025-03-18T11:03:09","modified_gmt":"2025-03-18T10:03:09","slug":"bachelor-semester-master-thesis","status":"publish","type":"page","link":"https:\/\/arbrea-labs.com\/ar\/bachelor-semester-master-thesis\/","title":{"rendered":"Deep Learning \/ Computer Vision \/ 3D Graphics Intern"},"content":{"rendered":"
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Augmented Reality for Human Body<\/h4>

Deep Learning \/ Computer Vision \/ 3D Graphics Intern<\/h1>\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n\n\t
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Introduction<\/strong><\/h3>\n

Arbrea Labs is an ETH spin-off from the Computer Graphics Lab,\u00a0ETH Zurich<\/a> and boasts collaborations with leading MedTech companies. Working closely with our R&D <\/strong>will allow you to be part of a dynamic, forward-thinking group pursuing the challenging goal of building the first\u00a0Medical Metaverse<\/strong>. Our AR&3D<\/strong> surgery simulators have entirely changed how patients and doctors interact during medical consultations, enhancing patient satisfaction and being a game-changer in aesthetic medicine and plastic surgery.<\/p>\n

Task Description
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As part of your thesis, you might deal with different tasks or focus solely on one specific task ranging from 3D Reconstruction and Tracking to AR\/VR to the latest works in Deep Learning, Neural Fitting & Rendering, and Physic Simulations applied to human bodies. You will develop state-of-the-art \u0627\u0644\u0648\u0627\u0642\u0639 \u0627\u0644\u0645\u0639\u0632\u0632<\/strong> solutions and Digital Avatar <\/strong>algorithms for the niche of cosmetic, reconstructive and aesthetic surgery.<\/p>\n

Depending on your background, we will tailor your thesis to match your interest and expertise.<\/strong> Special attention will be put on Deep Learning <\/strong>methods, such that they are suitable for smaller portable devices, e.g. smartphones or iPads.<\/p>\n

Required Skills<\/h3>\n
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  • Visual Computing Knowledge<\/li>\n
  • A Deep Learning experience is desired<\/li>\n
  • App Development\/Integration experience is a plus<\/li>\n<\/ul>\n

    Remarks<\/h3>\n

    A written report and an oral presentation conclude the thesis. The thesis will be overseen by Prof. Markus Gross and supervised by Dr Endri Dibra and Dr Beren Kaul.<\/p>\n<\/div>\n\n\n\n\n\t\t\t<\/div> \n\t\t<\/div>\n\t<\/div> \n<\/div><\/div>\n\t\t

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