Procedural generation of virtual pavilions via a deep convolutional generative adversarial network-Reference-Cited by-同舟云学术

Procedural generation of virtual pavilions via a deep convolutional generative adversarial network

Published:2022-06 Issue:3-4 Volume:33 Page:
ISSN:1546-4261
Container-title:Computer Animation and Virtual Worlds
language:en
Short-container-title:Computer Animation & Virtual

Author:

Chen Ziwei¹²^ORCID,Lyu Desheng¹²

Affiliation:

1. School of Architecture Harbin Institute of Technology Harbin People's Republic of China

2. Key Laboratory of Interactive Media Design and Equipment Service Innovation Ministry of Culture and Tourism of the People's Republic of China Harbin People's Republic of China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cav.2063

Reference18 articles.

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4. VincentP LarochelleH BengioY.Extracting and composing robust features with denoising autoencoders. Machine Learning Proceedings of the 25th International Conference (ICML 2008). Helsinki Finland; June2008. p.5–9.

5. Unsupervised representation learning with deep convolutional generative adversarial networks;Radford A;Comput Sci,2015

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