How to Train Your (Neural) Dragon.

Luiz Schirmer, Tiago Novello,Vinícius da Silva, Guilherme G. Schardong, Hélio Lopes,Luiz Velho

SIBGRAPI Conference on Graphics, Patterns and Images（2023）

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摘要

Neural fields have emerged as a promising framework for representing different types of signals. This tutorial focus on the existing literature and shares practical insights derived from hands-on experimentation with neural fields, specifically in approximating implicit functions of surfaces. Our emphasis lies in strategies leveraging differential geometry concepts to enhance training outcomes and showcase applications within this domain.

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