NDLI: Cooperation: A new force for boosting generative adversarial nets with dual-network structure

Content Provider	IET Digital Library
Author	Zhang, Long Zhao, Jieyu Ye, Xulun Chen, Yu
Abstract	The principle of generative adversarial net is to fit the given data distribution by combining a generative model and discriminative model. There are two major challenges to conventional systems – they are difficult to train and they easily fall into ‘mode collapse’. To improve it, this study describes a novel network structure with dual generators. A ‘cooperation’ mechanism is introduced to help the generators work together. During training, generators not only learn from discriminative feedback but also from each other (like a study group). Compared with a single-generator network, a dual-generator network could capture many more ‘modes’ and eventually reduce the impact of ‘mode collapse.’ Dual networks also require extra computational resources. However, our experiment shows that even with network parameters of similar size, dual networks still achieved better results. Additionally, a dual-generator structure could be extended to multiple generators. The proposed network structure is also very robust and flexible. It can be adapted to various application scenarios, such as high-resolution image generation, domain adaptation and 3D model generation. The experimental results showed that with the same computing resources, multiple generators can generate better quality synthetic data, including 2D images, 3D objects, style transferring etc.
Starting Page	1073
Ending Page	1080
Page Count	8
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 6, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0149
Journal	IET Image Processing
Publisher Date	2019-10-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Model Generation Computer Vision And Image Processing Technique Cooperation Mechanism Discriminative Model Dual Generators Dual Network Dual-generator Network Dual-generator Structure Dual-network Structure Generative Adversarial Net Generative Model Given Data Distribution Graphics Technique High-resolution Image Generation Image Resolution Knowledge Engineering Technique Learning in AI Mode Collapse Multiple Generator Network Parameter Optical, Image And Video Signal Processing Single-generator Network Solid Modelling
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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