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 distill.pub
Open Questions about Generative Adversarial Networks
| | colinraffel.com
GANs and Divergence Minimization
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| | resources.paperdigest.org
Most Influential NIPS Papers (2021-08) - Resources | Paper Digest
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| | The Conference on Neural Information Processing Systems (NIPS) is one of the top machine learning conferences in the world. Paper Digest Team analyze all papers published on NIPS in the past years, and presents the 15 most influential papers for each year. This ranking list is automatically construc
| | blog.otoro.net
Generating Large Images from Latent Vectors |
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| | [AI summary] This text discusses the development of a system for generating large images from latent vectors, combining Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). It explores the use of Conditional Perceptual Neural Networks (CPPNs) to create images with specific characteristics, such as style and orientation, by manipulating latent vectors. The text also covers the ability to perform arithmetic on latent vectors to generate new images and the potential for creating animations by transitioning between different latent states. The author suggests future research directions, including training on more complex datasets and exploring alternative training objectives beyond Maximum Likelihood.
| | humbletoolsmith.com
Go To Implementation
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| Technical Web Development Blog