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I am currently looking to try this program after reading through your paper.
First, I wanted to run "Generating meshes from NeuralGif".
So I built the environment according to "Installation" and downloaded the data and pretrained models from "https://nextcloud.mpi-klsb.mpg.de/index.php/s/FweAP5Js58Q9tsq".
Then I tried to run Generator.py, but it obviously did not work with just the downloaded files.
So I would like to ask you a few questions.
Q.1
According to your answer in #3, it is not necessary to run IPNet registrations for the Clotheseq dataset.
However, the files needed to input Generator.py are obviously missing, so do I still need to run "Data preparation"?
Q.2.
I heard that registration is not required in the paper, but why is it necessary?
If it is just an Inference, isn't it a program that generates a mesh with smpl param as input?
Q.3
It would be helpful if you could describe the data placement in detail in the ReadMe.
Also, I am not sure about the meaning of each name in Config.
The text was updated successfully, but these errors were encountered:
I am currently looking to try this program after reading through your paper.
First, I wanted to run "Generating meshes from NeuralGif".
So I built the environment according to "Installation" and downloaded the data and pretrained models from "https://nextcloud.mpi-klsb.mpg.de/index.php/s/FweAP5Js58Q9tsq".
Then I tried to run Generator.py, but it obviously did not work with just the downloaded files.
So I would like to ask you a few questions.
Q.1
According to your answer in #3, it is not necessary to run IPNet registrations for the Clotheseq dataset.
However, the files needed to input Generator.py are obviously missing, so do I still need to run "Data preparation"?
Q.2.
I heard that registration is not required in the paper, but why is it necessary?
If it is just an Inference, isn't it a program that generates a mesh with smpl param as input?
Q.3
It would be helpful if you could describe the data placement in detail in the ReadMe.
Also, I am not sure about the meaning of each name in Config.
The text was updated successfully, but these errors were encountered: