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[GH-ISSUE #231] Clip是否由正面人脸的配对训练 #200

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opened 2026-10-31 21:12:21 +00:00 by bsakaguchi · 2 comments
bsakaguchi commented 2026-10-31 21:12:21 +00:00
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Originally created by @zhou431496 on GitHub (Apr 14, 2022).
Original GitHub issue: https://github.com/openai/CLIP/issues/231

我打算使用clip做人脸正面化重建，请问clip是否可以做到使用"a frontal face"来约束图像生成正面化的人脸。期待你的回复，谢谢

Originally created by @zhou431496 on GitHub (Apr 14, 2022). Original GitHub issue: https://github.com/openai/CLIP/issues/231 我打算使用clip做人脸正面化重建，请问clip是否可以做到使用"a frontal face"来约束图像生成正面化的人脸。期待你的回复，谢谢
bsakaguchi commented 2026-10-31 21:12:22 +00:00
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@jongwook commented on GitHub (Apr 19, 2022):

Used Google Translate but not sure if I understood the question correctly. The training data likely contained images containing frontal faces, but we don't have statistics for that. Also your mileages may vary depending on which method and hyperparameters were used for generation.

<!-- gh-comment-id:1102518885 --> @jongwook commented on GitHub (Apr 19, 2022): Used Google Translate but not sure if I understood the question correctly. The training data likely contained images containing frontal faces, but we don't have statistics for that. Also your mileages may vary depending on which method and hyperparameters were used for generation.
bsakaguchi commented 2026-10-31 21:12:22 +00:00
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@zhou431496 commented on GitHub (Apr 19, 2022):

You can don't understand my problem, if you pass the text of "a Frontal Face", some side images can be changed to a front face. The model we use is STYLECLIP

<!-- gh-comment-id:1102533166 --> @zhou431496 commented on GitHub (Apr 19, 2022): You can don't understand my problem, if you pass the text of "a Frontal Face", some side images can be changed to a front face. The model we use is STYLECLIP
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