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Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
時間 2020-12-30
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本博客是論文 Unsupervised Disentangling of Appearance and Geometryby Deformable Generator Network的翻譯,因作者水平有限,可能存在部分不準確的地方,還請讀者不吝賜教。 摘要 待補充 1 引言 待補充 2 相關工作 待補充 3 模型和學習算法 3.1 模型 圖1: 模型的示意圖。該模型包含兩個生成器網絡:一個外觀生成
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相關文章
1.
Recognize Actions by Disentangling Components of Dynamics
2.
[ICCV2019] Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
3.
Geometry and Appearances【轉】
4.
DEFORM-GAN:AN UNSUPERVISED LEARNING MODEL FOR DEFORMABLE REGISTRATION
5.
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup(ICCV19)
6.
Normalized and Geometry-Aware Self-Attention Network for Image Captioning
7.
Geometry-Aware Face Completion and Editing
8.
【論文筆記】視頻分類系列 Recognize Actions by Disentangling Components of Dynamics
9.
GoodPoint: unsupervised learning of keypoint detection and description∗
10.
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
>>更多相關文章<<