Questions about paper

[stalkerrush]

Hi @B1ueber2y @pengsongyou , thanks for the great work! I have two questions regarding your paper:

1. For video sequence supervised reconstruction, you mentioned that you did not use masks. Then why does the final predicted shape only contain foreground objects? I assume that the shape should be random at the beginning and the photometric loss is applied to each pixel of a pair of groundtruth images.
2. It seems that you always optimize the latent code instead of the model. To my understanding, this means for every new object you would need a specific optimization. Is there any reason why you didn't optimize the model and use an image encoder to make the sdf network conditioned on an input?

Thank you!