no code implementations • 16 Jun 2020 • Amos Gropp, Matan Atzmon, Yaron Lipman
Two sources of bad generalization are: extrinsic, where the learned manifold possesses extraneous parts that are far from the data; and intrinsic, where the encoder and decoder introduce arbitrary distortion in the low dimensional parameterization.
4 code implementations • ICML 2020 • Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
Representing shapes as level sets of neural networks has been recently proved to be useful for different shape analysis and reconstruction tasks.