Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
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