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Hi @hiroharu-kato Thanks for the code. I have stuck up with some questions and it expecting answers. I have understood the reconstructor part which generate mesh using encoder-decoder architecture.
1.) For single view training, does discriminator takes only one viewpoint (out of 20) as correct views and remaining 19 as incorrect?
2.) What will be partitions of dataset for single view training of discriminator?
3.) What does real views mean In view-based training, reconstructed views from
observed viewpoints converge to the real views in a training
dataset by minimizing the reconstruction loss (single view)?
The text was updated successfully, but these errors were encountered:
Hi @hiroharu-kato Thanks for the code. I have stuck up with some questions and it expecting answers. I have understood the reconstructor part which generate mesh using encoder-decoder architecture.
1.) For single view training, does discriminator takes only one viewpoint (out of 20) as correct views and remaining 19 as incorrect?
2.) What will be partitions of dataset for single view training of discriminator?
3.) What does real views mean In view-based training, reconstructed views from
observed viewpoints converge to the real views in a training
dataset by minimizing the reconstruction loss (single view)?
The text was updated successfully, but these errors were encountered: