目录

目录

Learned Initializations for Optimizing Coordinate-Based Neural Representations


Learned initializations for optimizing coordinate-based neural representations

编者按

  • 通用地分析了各种 coordinate-based 方法的 meta-learning 效果

Motivation

  • 对于coordinate-based neural representations在auto-decoder时,用meta-learned 的initialization
  • https://longtimenohack.com/posts/paper_reading/2021cvpr_tancik_learned/image-20201215193905125.png
  • 与MetaSDF的差别:进一步拓展到更多种类的neural coordinate-based signals,并且把the power of using initial weight settings开发为一种先验信息