Using GAN to Augment the Synthesizing Images from 3D Models

Author:

Ma YanORCID,Liu KangORCID,Guan Zhi-bin,Xu Xin-Kai,Qian Xu,Bao Hong

Publisher

Springer International Publishing

Reference19 articles.

1. Chang, A.X., et al.: Shapenet: an information-rich 3D model repository. In: Computer Science (2015)

2. Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: Infogan: interpretable representation learning by information maximizing generative adversarial nets. In: Neural Information Processing Systems, pp. 2172–2180 (2016)

3. Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The Pascal Visual Object Classes Challenge 2012 (VOC2012) Results. http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html

4. Feng, Y., Ren, J., Jiang, J.: Object-based 2D-to-3D video conversion for effective stereoscopic content generation in 3D-tv applications. IEEE Trans. Broadcast. 57(2), 500–509 (2011)

5. Goodfellow, I.J., et al.: Generative adversarial nets. In: International Conference on Neural Information Processing Systems, pp. 2672–2680 (2014)

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