Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

ACM Computing Surveys

Volumn 54, Issue 2, 2022, Pages

  Wang, Zhengwei ^a   She, Qi ^b   Ward, Tomás E ^c  

^a School of Computer Science And Statistics   (Ireland)

^b Dublin City University ^*  (China)

^c DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

architecture variants; computer vision; Generative adversarial networks; loss variants; stabilizing training

Indexed keywords

COMPUTER VISION; NETWORK ARCHITECTURE; TAXONOMIES;

ARCHITECTURE-VARIANT; HIGH QUALITY IMAGES; IMAGE GENERATIONS; IMAGE TRANSLATION; LOSS-VARIANT; NETWORK TECHNOLOGIES; REAL-WORLD PROBLEM; SCIENTIFIC LITERATURE; STABILIZING TRAINING; STATE OF THE ART;

GENERATIVE ADVERSARIAL NETWORKS;

EID: 85103870927     PISSN: 03600300     EISSN: 15577341     Source Type: Journal    
DOI: 10.1145/3439723     Document Type: Review

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