HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

Autor: Yong-Liang Yang, Chuan Li, Thu Nguyen-Phuoc, Christian Richardt, Lucas Theis

Publikováno v: Nguyen Phuoc, T, Li, C, Theis, L, Richardt, C & Yang, Y 2020, HoloGAN: Unsupervised Learning of 3D Representations From Natural Images . in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) ., 9010343, 2019 IEEE/CVF International Conference on Computer Vision (ICCV), IEEE, pp. 7588-7597, International Conference on Computer Vision 2019, 27/10/19 . https://doi.org/10.1109/ICCV.2019.00768
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
ICCV Workshops

We propose a novel generative adversarial network (GAN) for the task of unsupervised learning of 3D representations from natural images. Most generative models rely on 2D kernels to generate images and make few assumptions about the 3D world. These m

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https://purehost.bath.ac.uk/ws/files/216883001/holoGAN_iccv19.pdf