Comments (2)
Hi,
There is something it seems regarding discriminators.
I tried --
Training from Scratch
: fake_depths and fake_images look alright (similar to sampled smpl pose). As training proceeds, fake_depths become total black and white. images go full background-- (white)
Training from provided weights
: fake_depths and fake_images look alright (similar to sampled smpl pose, and realistic). As training proceeds, both deteriorate towards ---> fake_depths become total black and white. images go full background-- (white)
I speculate the reason behind it, may be a discriminator issue driving the generator crazy?
from ag3d.
hey bro , have you successfully reproduced this model ?
from ag3d.
Related Issues (18)
- when would the code be released? HOT 5
- Texture? HOT 1
- When would the dataset of processing function of dataset be released HOT 3
- Discriminator weights HOT 2
- How to run training code? HOT 3
- Missing evaluation data
- What files do I need from AMASS to test the animation part ? HOT 1
- Is it possible to fine tune the model on the fly for any random image of a single person ? HOT 1
- Can we get obj output with .mtl files so that we can use them according to our needs in softwares like Blender? HOT 1
- mesh HOT 1
- About the label HOT 1
- not clonning
- without NIVIDia
- What is the local identity-preserving loss of AG3D text editing ? Can it maintain the ID of the human body?
- TypeError in cuda_gridsample.py during test script execution HOT 6
- DLL load failed while importing fuse_cuda: The specified procedure could not be found HOT 1
- hey bro , have you successfully reproduced this model ?
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from ag3d.