Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

Understand

In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion.

• Firstly, we present the channel-attentive EdgeConv to fully exploit the local structures as well as the global shape in point features.
• Secondly, we observe that the concatenation manner used by vanilla foldings limits its potential of generating a complex and faithful shape.
• Enlightened by the success of StyleGAN, we regard the shape feature as style code that modulates the normalization layers during the folding, which considerably enhances its capability.