A Variational U-Net for Conditional Appearance and Shape Generation

时间 2021-07-12

标签论文阅读笔记人工智能繁體版

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该方法能够生成不同的姿态的人物图像以及改变人物的外观。而且这个模型能够在不改变shape的情况下从appearance distribution 中进行采样。 1 Approach 记 x x x为dataset X X X中的一张图片，我们想要理解 x x x中的object是如何被其shape y y y和appearance z z z所影响的。因此图像生成器可以被表示为最大化后验概率（极大

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1. A Variational U-Net for Conditional Appearance and Shape Generation学习笔记
2. Latent Representation Learning For Artificial Bandwidth Extension Using A Conditional Variational Au
3. Latent Representation Learning For Artificial Bandwidth Extension Using A Conditional Variational Au...
4. Text Generation based Variational Autoencoders
5. Appearance-and-Relation Networks for Video Classification
6. 论文阅读：CTRL: A CONDITIONAL TRANSFORMER LANGUAGE MODEL FOR CONTROLLABLE GENERATION
7. [NLG] Pretraining for Conditional Generation with Pseudo Self Attention
8. 《MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and A...
9. Attribute-Guided Face Generation Using Conditional CycleGAN
10. Reﬁnements in Motion and Appearance for Online Multi-Object Tracking

>>更多相关文章<<