Comments (2)
taesungp
commented on June 24, 2024
9
It's just because the initialization of the last layer outputs something close to zero. In case of gamma, we initialized it to output something close to one, so that in the beginning of training SPADE will preserve normalized activations.
Another way of having the same effect would be initializing the bias of the last layer to be 1.
Just to reiterate your issue that it's different from the paper, it doesn't really matter because gamma is learned. You can have gamma learn x or 1 + x.
from spade.
GDuthe
commented on June 24, 2024
Got it. Thanks!
from spade.
Related Issues (20)
- How can I run this using RGB label as input ? HOT 4
- CUDA error: device-side assert triggered HOT 1
- Two update_learning_rate with same name
- RuntimeError: cublas runtime error : an access to GPU memory space failed at
- Converting to onnx HOT 2
- Choice between multi-scale discriminator and progrssive growing of GANs ?
- How many categories have you predicted for flickr data using deeplab?
- How "label_nc" in the setting works? HOT 2
- CUDA Error?? HOT 4
- Public API
- Extend to instance segmentation
- IndexError with custom dataset HOT 2
- errors with custom dataset HOT 3
- how to prepare the custom datasets?
- Issue a black background is added to the transparent image HOT 1
- GauGAN2 Paper HOT 1
- add --tf_log , program can not run HOT 1
- any pretrained models on ade20k or cityscapes with use_vae?
- Online demo app no longer on nvidia site?
- Training the model for Image to Image translation without label_nc and instance maps.
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 spade.