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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling #15

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lkffight opened this issue Aug 9, 2017 · 2 comments

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@lkffight
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lkffight commented Aug 9, 2017

@meetshah1995 Are there any links between the input 2D images? 2D image to 3D image contact is what? Thank you

@lkffight
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lkffight commented Aug 9, 2017

@meetshah1995 Did your results reproduce now? I use your code to get the result i do not know what? What is the specific format of your code input and output? Thank you

@DJxuelei
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DJxuelei commented Jul 12, 2020

Hi ,I think the input may be A random normal distribution as you can see in the paper. it can be get by code: z_sample = np.random.normal(0, 0.33, size=[batch_size, z_size]).astype(np.float32).

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