Comments (4)
- Unfortunately, neck mask is a data issue. The LIP human parse label doesn't have 'neck' class. If you really want to get the mask of neck, maybe you can run some other human parse labels, which has 'neck' as one of its classes.
- In deepfashion dataset, 'hat' is very rarely present, so we didn't pick it up as a garment. We'd also be interested to know what would happen if combining hat with hair or treat hat as a separated garment. Let's us know if you try this. ;-)
- The resolutions in your result look lower than what is supposed to be. Please double check if you have data input/output setup correctly (maybe there's some compression on your image grid or something). The trained model is supposed to support 256x176 images and should render clear results.
- Better regularization of face representation is always a good topic for further investigation.
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Provided pre training model Dior_ 64 get the above effect, it's not the best model, is it?
I want to adjust the resolution and definition higher. I just feel that the resolution of 256x176 is relatively low. I hope to improve it to 512x352. Do you have any suggestions?
from dressing-in-order.
Since we only support and test on 256x176, if you want good result on 512x352, maybe you should check those HD virtual try-on work on and combine them with our recurrent pipeline together.
from dressing-in-order.
Would it be hard to retrain the model for higher resolutions?
from dressing-in-order.
Related Issues (20)
- 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
- Is there a specific order for the three stages of training? HOT 1
- dataset HOT 1
- NameError: name 'circle' is not defined HOT 4
- Not showing the output images while code is running HOT 1
- While trying custom images my output skeleton tilted -90 degrees HOT 3
- Google colab downloading data problem HOT 2
- multi gpu
- Step by Step to use my own clothes images HOT 3
- testM_lip not found. HOT 3
- colab Load Pretrained Model Error HOT 2
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