nv-tlabs / GET3D

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How many views needed for inference ? #124

Closed fefespn closed 1 year ago

fefespn commented 1 year ago

In the paper you mentioned that rendered training dataset is 24 random views for Cars&Char and 100 for Motorbike. How much 2d images of the object you need for the inference ? the same amount ? Did you tried to inference with less, maybe just 2-3 views ?

SteveJunGao commented 1 year ago

Hi @fefespn ,

We only render the images for training our 3D generative model, while during inference, we do not need any input views to generate 3D models, we only need to randomly draw latent codes from a normal distribution.

fefespn commented 1 year ago

Thanks ! My fault.

fefespn commented 1 year ago

Can't we start from an image (get the latent code of it in some way) and get the 3D result ?

Bathsheba commented 1 year ago

no, this doesn't do that

fefespn commented 1 year ago

Ok rhanks a lot for your hard work and long days !!