Comments (1)
ajbrock
commented on May 28, 2024
Hi ShenYujun,
The difference is that the TFHub version has a pre-computed set of BatchNorm statistics that it uses depending on the truncation level, as the distribution of activations will vary as the statistics of the latent vector are changed. As mentioned in the README in this repo's TFHub folder, this port does not support this particular setting, and you will need to accumulate new stats yourself in order to use truncation.
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？
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from biggan-pytorch.