Comments (3)
Hi! Thanks for your interest. Unfortunately, I did not keep the full configuration of the experiments, but some important parameters that I used are
- batch=8, use ADA
- face2met: finetune_loc=2, iter=1000
- cat2wild: finetune_loc=3, iter=3000
The numbers are not tuned, I simply chose fewer fine-tuning layers and iterations when the source and target domain is close. Freezing different submodules of the model rather than the entire styled-conv layer didn't work well in my case.
I actually tried the layer swapping method similar to yours as well but failed to make it work nicely. In my experience, the problem was the misalignment of input domains for the layers from different models, and I guess the smooth interpolation technique is crucial. (I really like the Disney-style cartoonification results btw)
from freezeg.
@bryandlee Could you tell me the configuration for the face_to_simpson? and I guess you used the default setting for the ADA, right?
from freezeg.
I don't have the exact parameters but it should be something like finetune_loc=3 or 4 and iter > 3000 with the default ADA setting. The dataset can be found here #2 (comment).
from freezeg.
Related Issues (14)
- Congratulations HOT 5
- Regarding the datasets HOT 2
- Pre-trained model HOT 3
- How to use my own dataset to make Face2mydataset HOT 5
- Checkpoint key error when finetuning HOT 5
- Can't generate images from pretrained model HOT 1
- A few questions HOT 3
- how to generate pair data? HOT 4
- A few questions about your idea HOT 1
- When 'finetune_loc' > 0, mapping layer (mlp) is also fixed, right?
- Which one is better, freezeG or freezeD?
- Hyperparameters for Face2Simpson
- Pretrained model for Face2Simpsons
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 freezeg.