Comments (1)
Awesome work! Thanks for the open source. As a fresh, I'd love to know how the attribute directions of these latent space edits are selected? Looking forward to your reply, this is very important to me, thank you very much!
Thanks for your interest. These attribute directions are obtained from interfacegan, ganspace and other unofficial models. For each method, you can use the corresponding attributes from the comments. See the following screenshot.
from w-plus-adapter.
Related Issues (9)
- The first stage model HOT 1
- inference editing stage HOT 1
- RCA's residual setup HOT 1
- The training debugging parameters are incorrect due to the shell script file. HOT 2
- 'utilizing BLIP2 to obtain captions HOT 1
- The format of the txt file when running train.py. HOT 1
- Will the W+ vector affect the reconstruction quality? HOT 10
- Attributes Editing HOT 1
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