Can I read NeurIPS 2020 Metasdf Meta Learning Signed Distance Functions Paper on EtoBox?

NeurIPS 2020 Metasdf Meta Learning Signed Distance Functions Paper by arunavachakravarty is a document available to read on EtoBox.

What is NeurIPS 2020 Metasdf Meta Learning Signed Distance Functions Paper about?

The document presents MetaSDF, a meta-learning approach for learning signed distance functions (SDFs) to improve the generalization of neural implicit shape representations. This method leverages gradient-based meta-learning algorithms, allowing for faster inference and better performance compared to existing encoder-decoder and auto-decoder methods. The proposed framework enables efficient adaptation to new shapes from limited observations, enhancing the reconstruction of 3D geometry from partial data.

Author

arunavachakravarty

Language

EN