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Apr, 2023
3D GANs和潜空间: 综合调查
3D GANs and Latent Space: A comprehensive survey
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Satya Pratheek Tata, Subhankar Mishra
TL;DR
本文研究生成对抗网络(GANs)中的潜在空间与三维对象的关系,探讨了几种GAN的变体和训练方法,旨在提高3D GAN的训练效果,同时提出了未来研究的方向。
Abstract
generative adversarial networks
(GANs) have emerged as a significant player in generative modeling by mapping lower-dimensional random noise to higher-dimensional spaces. These networks have been used to generate high-resolution images and
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