Web: http://arxiv.org/abs/2111.00909

Jan. 28, 2022, 2:11 a.m. | Perla Doubinsky (CEDRIC - VERTIGO, CNAM), Nicolas Audebert (CEDRIC - VERTIGO, CNAM), Michel Crucianu (CEDRIC - VERTIGO, CNAM), Hervé Le Borgne (L

cs.LG updates on arXiv.org arxiv.org

Various controls over the generated data can be extracted from the latent
space of a pre-trained GAN, as it implicitly encodes the semantics of the
training data. The discovered controls allow to vary semantic attributes in the
generated images but usually lead to entangled edits that affect multiple
attributes at the same time. Supervised approaches typically sample and
annotate a collection of latent codes, then train classifiers in the latent
space to identify the controls. Since the data generated by …

arxiv cross gan

More from arxiv.org / cs.LG updates on arXiv.org

Director, Data Science (Advocacy & Nonprofit)

@ Civis Analytics | Remote

Data Engineer

@ Rappi | [CO] Bogotá

Data Scientist V, Marketplaces Personalization (Remote)

@ ID.me | United States (U.S.)

Product OPs Data Analyst (Flex/Remote)

@ Scaleway | Paris

Big Data Engineer

@ Risk Focus | Riga, Riga, Latvia

Internship Program: Machine Learning Backend

@ Nextail | Remote job