Comments (1)
I have the same question. For eg: if using inswapper based tools like roop, the output face looks very simiilar to the input. But in this program, features are morphed too much (in my view)
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Related Issues (20)
- 此项目必爆火,火钳刘明 HOT 4
- Can you provide the training code HOT 1
- How to deploy it on the mobile device? HOT 3
- 您好,请问有支持亚洲人的训练模型吗?
- I wonder what label you used to learn Q and what shceme you learned. HOT 1
- About FPS HOT 4
- FaceShifter
- Bounding Box
- assert 'detection' in self.models when running `image_test.py` HOT 1
- output_path and merge_result are not created HOT 1
- about pre-trained weight in google drive HOT 1
- Does there any pytorch implementation?
- RetinaFace.detect() got an unexpected keyword argument 'threshold' HOT 3
- mobile deployment
- Resolution HOT 1
- Colab? HOT 4
- hugging face demo?
- providing
- license
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