Investigating object compositionality in Generative Adversarial Networks
- 1 October 2020
- journal article
- research article
- Published by Elsevier in Neural Networks
- Vol. 130, 309-325
Abstract
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Funding Information
- Swiss National Science Foundation (200021_165675/1)
This publication has 11 references indexed in Scilit:
- Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991)Neural Networks, 2020
- ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing2018
- Image Generation from Scene Graphs2018
- CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning2017
- Simulation as an engine of physical scene understandingProceedings of the National Academy of Sciences, 2013
- Representation Learning: A Review and New PerspectivesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
- Learning a Generative Model of Images by Factoring Appearance and ShapeNeural Computation, 2011
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998
- Learning Factorial Codes by Predictability MinimizationNeural Computation, 1992
- Comparing partitionsJournal of Classification, 1985