Pursuing high-resolution 3D Geometry with Deep Learning

Abstract

Geometric details in 3D shapes is a defining factor in many industries such as AR/VR, VFX and design. However, creating high-fidelity shapes with fine-grained geometry details is a laborious process, requiring skillful artistry. Recently, many works have proposed different solutions for shape generations, but all of them fall short in constructing the high-frequency geometry details. In this talk, I’ll introduce three recent works, which pursue to improve geometric details with Deep methods.

Date
Jun 11, 2020 9:00 PM — 9:30 PM
Location
online
Yifan Wang
Yifan Wang
publish also as “Wang Yifan”

CS PhD student in ETH Zurich

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