Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network
本博客是论文 Unsupervised Disentangling of Appearance and Geometryby Deformable Generator Network的翻译，因作者水平有限，可能存在部分不准确的地方，还请读者不吝赐教。 摘要 待补充 1 引言 待补充 2 相关工作 待补充 3 模型和学习算法 3.1 模型 图1： 模型的示意图。该模型包含两个生成器网络：一个外观生成
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相关文章
- 1. Recognize Actions by Disentangling Components of Dynamics
- 2. [ICCV2019] Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
- 3. Geometry and Appearances【转】
- 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. 【论文笔记】视频分类系列 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