junzhezhang / shape-inversion

[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion
MIT License
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A naive question #4

Closed duzhenjiang113 closed 3 years ago

duzhenjiang113 commented 3 years ago

Hello, I have some questions about the paper. What is the input of your article during testing, is it a partial shape? And how is it encoded into a code z to generate a completed shape?

junzhezhang commented 3 years ago

Hi, refering to Fig. 2 in the paper, x_in is the input. We first start with an initialization stage, in which hundreds of latent vectors z are sampled randomly, and the one with minimum L is chosen for optimization, i.e., the gradient descent process in Fig. 2. Hope this clarifies.

duzhenjiang113 commented 3 years ago

thanks