Boundary points of single view data? about ipnet HOT 5 CLOSED

Boundary sampling is done only at training because at inference you have to query the entire 256^3 grid. For training with single view, you will have a complete shape for supervision during training. You can sample points from that.

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Just to make sure does the training data all synthetic? so the partially scan real data will not involve during training

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Yes, you'll need full shape to supervise. This is to teach your network to complete the shape.

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I see. Thank you very much.

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@bharat-b7 May I ask for training IPNetMANO, do you use MANO parametric hand to produce fake data? will there be a domain gap between real/fake data? if so how will you guys handle it. thanks.

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