Comments (4)
Yes, a more diverse set of faces would help the collapse/overfitting situation.
from dressing-in-order.
How i can increase quality this image ?. Result is too different from original image.
I'm using DIORv1_64, this is my custom image.
from dressing-in-order.
The released model was trained on DeepFashion, and unfortunately, there is some overfitting on faces (as DeepFashion only a few dozens of different faces). You may refer to those Virtual Try-On methods which combines the garment and the other part of the person on image level, in which the face is copied directly from the source images.
from dressing-in-order.
The released model was trained on DeepFashion, and unfortunately, there is some overfitting on faces (as DeepFashion only a few dozens of different faces). You may refer to those Virtual Try-On methods which combines the garment and the other part of the person on image level, in which the face is copied directly from the source images.
So, your mean is if i prepare the dataset with more different faces and results will be improved right?
from dressing-in-order.
Related Issues (20)
- Pose Transfer output image is empty HOT 1
- Bad results by the pre-trained model when tested on an unseen image HOT 2
- Traninig models on Viton datasets HOT 1
- Texture transfer results HOT 1
- correct dimension for testing on custom dataset HOT 3
- Input Issues HOT 3
- no images show HOT 1
- Tensors must have same number of dimensions
- img_highres.zip not available HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'pretrained_models/flownet.pt' HOT 1
- Thcudacheck fail error and invalid argument while running the demo.py in GFLA HOT 3
- some trouble when running demo
- No such file or directory: 'pretrained_models/flownet.pt' HOT 1
- Not able to get password for img_highres.zip HOT 2
- What is $DATA_DIR in run_eval.sh file if I rerun all the training processing with DFashion dataset ? HOT 1
- Official Colab Released! HOT 4
- Results on custom images HOT 1
- High Resolution
- Typo in repo download file. HOT 1
- Help with inference. HOT 2
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 dressing-in-order.