Comments (2)
We include code for porting the TFHub pretrained models at all resolutions, and we are currently considering training 256x256 models with this codebase but haven't decided on anything yet.
from biggan-pytorch.
We include code for porting the TFHub pretrained models at all resolutions, and we are currently considering training 256x256 models with this codebase but haven't decided on anything yet.
@ajbrock Hi. May I know if the pretrained models on 256 and 512 are available?
from biggan-pytorch.
Related Issues (20)
- Training with 96x96 input HOT 1
- 我长期研究和改进GAN,如果对GAN或者深度学习感兴趣的可以联系我,联系方式,wechat: lovedaixiaobaby
- How can I improve the quality of generated images?
- AttributeError: 'Distribution' object has no attribute 'dist_type' HOT 2
- why the inception scores and FIDs are not comparable with the TF version?
- Out of memory HOT 3
- requirements.txt or library versions
- Training with ImageNet 64x64 HOT 1
- sampling out of memory HOT 1
- Correct attention layer implementation HOT 4
- y_ and y variables in training function
- Query about orthogonal regularization implementation
- collapsed samples
- Trouble training it from scratch
- BigGAN-deep pre-trained
- How to train BigGAN for image generation conditioned on text description? HOT 1
- set cross_replica as true got bad result HOT 1
- Output 80x688 images
- Problems when sampling
- The model was trained. How to generate the images?
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