Apr 27, 2021 · In this paper we present ShapeInversion, which introduces Generative Adversarial Network (GAN) inversion to shape completion for the first time.

ShapeInversion uses a GAN pre-trained on complete shapes by searching for a latent code that gives a complete shape that best reconstructs the given partial ...

We provide pretrained tree-GAN models for you to directly start with the inversion stage. You can download them from Google drive or Baidu cloud (password: w1n9) ...

ShapeInversion uses a GAN pre-trained on complete shapes by searching for a latent code that gives a complete shape that best reconstructs the given partial ...

Unidirectional Chamfer Distance (UCD) measures the squared L2 distance from the partial input shape xp to the complete output xc, as shown in Eq. (2). dUCD(xp, ...

The proposed ShapeInversion uses a GAN pre-trained on complete shapes by searching for a latent code that gives a complete shape that best reconstructs the ...

In this paper we present ShapeInversion, which introduces Generative Adversarial Network (GAN) inversion to shape completion for the first time.

The objective of 3-dimensional point cloud completion is to estimate a plausible complete shape from a given partial point cloud.

View recent discussion. Abstract: Most 3D shape completion approaches rely heavily on partial-complete shape pairs and learn in a fully supervised manner.

Feb 14, 2022 · ShapeInversion uses a GAN pre-trained on complete shapes by searching for a latent code that gives a complete shape that best reconstructs the ...