Face Jam AI 4+
Brett Kuprel
專為 iPad 設計
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- 免費
- 提供 App 內購買
截圖
簡介
Choose two faces and combine their styles with AI (generative neural nets)
Additional Charges
The watermark can be removed and the generated image can be exported with an in app purchase. Each generated image requires its own in app purchase.
Here are a few ways this app can be used:
1) Hair color
Set the "input" photo to the person whose hair color you want to change. Choose a photo of a person with the hair color you want for the "style" photo. Since hair color is a relatively shallow style, styles can be mixed at shallow depths here. Mixing deeper styles will transfer deeper properties from the style photo such as face structure, gender, and head pose.
2) Baby generator
Choose photos of both parents and mix their styles. If mixing deep styles here, the gender styles will mix. There is a gender slider to adjust for this. If only mixing shallow styles, the gender will be that of the "input" face.
3) Hair transplant
This requires deeper style mixing than hair color. Set the input photo to the person who will receive the hair, and the style photo to someone who will donate the hair. Try to find the shallowest depth that transfers the hair style. This seems to be the 2nd to last and 3rd to last layers in most cases.
4) Cartoons
Some cartoon faces will be picked up by the face detector and their styles can be mixed with real people.
Fun fact: most of the faces used as inputs in the examples were actually generated from this app! Those people do not actually exist.
Note: This app does not collect any face data. All processing happens locally on the device. No data is shared with 3rd parties. No data is even stored locally. The only way to export data from this app is to share the generated image using the button in the lower right corner of the "stylized" image.
Some of the functionality of this app was adapted from the following research:
[1] Goodfellow, Ian, et al. "Generative adversarial nets." Advances in neural information processing systems 27 (2014).
[2] He, Kaiming, et al. "Deep residual learning for image recognition." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
[3] Karras, Tero, et al. "Analyzing and improving the image quality of stylegan." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.
[4] He, Kaiming, et al. "Momentum contrast for unsupervised visual representation learning." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.
[5] Huang, Yuge, et al. "Curricularface: adaptive curriculum learning loss for deep face recognition." proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2020.
[6] Richardson, Elad, et al. "Encoding in style: a stylegan encoder for image-to-image translation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.
[7] Tov, Omer, et al. "Designing an encoder for stylegan image manipulation." ACM Transactions on Graphics (TOG) 40.4 (2021): 1-14.
新內容
版本 1.5
Automatically saves purchased photo to library
評分與評論
In-app 收費?
本來APP要錢,輸出就沒有浮水印,現在再加浮水印又來收費一次,這是什麼道理?
還好我還沒更新,但是又測試了一下,輸出image根本就沒有浮水印,現在改成 in-app收費取消浮水印,傷害原來我們本來已經擁有這個App的權益
開發者回覆 ,
As an early adopter you had access to infinitely many watermark-free generated images
App 隱私權
開發者「Brett Kuprel」指出 App 的隱私權實務可能包含下方描述的資料處理。如需更多資訊,請參閱開發者的隱私權政策。
不收集資料
開發者不會從這個 App 收集任何資料。
隱私權實務可能因你使用的功能或你的年齡等因素而有所不同。進一步瞭解
資訊
- 供應商
- Brett Kuprel
- 大小
- 602.3 MB
- 類別
- 照片和影片
- 相容性
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- iPhone
- 需要 iOS 15.0 或以上版本。
- iPad
- 需要 iPadOS 15.0 或以上版本。
- iPod touch
- 需要 iOS 15.0 或以上版本。
- Mac
- 需要 macOS 12.0(或以上版本)以及配備 Apple M1(或以上版本)晶片的 Mac。
- Apple Vision
- 需要 visionOS 1.0 或以上版本。
- 語言
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英文
- 年齡分級
- 4+
- Copyright
- © 2022 Brett Kuprel
- 價格
- 免費
- App 內購買
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- Remove Watermark and Export $30.00