Comments (1)
wty-ustc
commented on August 11, 2024
- Some of the text hairstyle descriptions are very similar.
- As stated in the limitations section of our paper, no reasonable results can be given for descriptions that are not in the domains of StyleGAN. For example, some hairstyles are only available for ladies.
- You can reduce the number of hairstyle text descriptions to retrain HairCLIP, the training process may take less than 1 day, and this approach may be effective.
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Related Issues (20)
- About Video Hair Editing HOT 1
- code
- question of split database(train.pt and test.pt)
- What this mean in
- What is the truncation for in function configure_datasets of coach.py?
- How to slove the problem "train.py: error: the following arguments are required: --hairstyle_description, --color_description " when i run code in Colab? HOT 1
- I notice that image manipulation loss is defined as "1-cos（，） " . But I feel confused that whether i can change that to "-cos"
- F and C
- What is the data set of test input
- How do you introduce encoder4editing in predict.py without conflicting with the environment？
- What is the code license? HOT 1
- Will stylegan inversion encoder be trained? HOT 2
- How to change the hairstyle of a given image with a image containing the target hairstyle?
- local variable 'shape' referenced before assignment
- How many images were used to calculate the three metrics IDS, PSNR, and SSIM derived from Table 1？
- Inference on image data without converting to e4e HOT 1
- Getting error on inference when using reference image hairstyle to paste on input image.
- Error while training the model on my dataset.
- Name conflicts between soruce code and source code of encoder4editing
- what is ACD?
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