Work

Controlling Style and Semantics in Weakly-Supervised Image Generation

Year: 2020

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-030-58539-6_29

Authors: Dario Pavllo, Aurelien Lucchi, Thomas Hofmann

Institution: ETH Zurich

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2993433871

FWCI: 2.391

Cites: 35

Cited by: 36

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