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.

Yifan Wang

(also publish as Wang Yifan)

Research Scientist at Adobe