WP-V2.V9.1
CTGAN : CLOUD TRANSFORMER GENERATIVE ADVERSARIAL NETWORK
Gi-Luen Huang, Pei-Yuan Wu, National Taiwan University (NTU), Taiwan
Session:
Learning Image Transformations
Track:
Applications of Machine Learning
Location:
Gather.Town 9
Presentation Time:
Wed, 5 Oct, 22:00 - 23:00 China Standard Time (UTC +8)
Wed, 5 Oct, 16:00 - 17:00 Central European Time (UTC +2)
Wed, 5 Oct, 14:00 - 15:00 UTC
Wed, 5 Oct, 10:00 - 11:00 Eastern Time (UTC -4)
Wed, 5 Oct, 16:00 - 17:00 Central European Time (UTC +2)
Wed, 5 Oct, 14:00 - 15:00 UTC
Wed, 5 Oct, 10:00 - 11:00 Eastern Time (UTC -4)
Session Co-Chairs:
Andrea Cavallaro, Queen Mary University of London and Jean-Christophe Pesquet, CentraleSupélec and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session WP-V2.V9
WP-V2.V9.1: CTGAN : CLOUD TRANSFORMER GENERATIVE ADVERSARIAL NETWORK
Gi-Luen Huang, Pei-Yuan Wu, National Taiwan University (NTU), Taiwan
WP-V2.V9.2: TRANSFORMER COMPRESSED SENSING VIA GLOBAL IMAGE TOKENS
Marlon Bran Lorenzana, Craig Engstrom, Shekhar S. Chandra, The University of Queensland, Australia
WP-V2.V9.3: 2HDED:NET FOR JOINT DEPTH ESTIMATION AND IMAGE DEBLURRING FROM A SINGLE OUT-OF-FOCUS IMAGE
Saqib Nazir, CEOSpaceTech, University POLITEHNICA of Bucharest (UPB), Romania; Lorenzo Vaquero, Manuel Mucientes, Victor M. Brea, Centro Singular de Investigacion en Tecnoloxias Intelixentes (CiTIUS), Spain; Daniela Coltuc, CEOSpaceTech, Romania
WP-V2.V9.4: UNSUPERVISED IMAGE FUSION USING DEEP IMAGE PRIORS
Xudong Ma, Paul Hill, Nantheera Anantrasirichai, Alin Achim, University of Bristol, United Kingdom of Great Britain and Northern Ireland
WP-V2.V9.5: SEMANTIC UNFOLDING OF STYLEGAN LATENT SPACE
Mustafa Shukor, Xu Yao, Bharath Bushan Damodaran, Pierre Hellier, Interdigital, France
WP-V2.V9.6: TRANSLATION OF ILLUSTRATION ARTIST STYLE USING SAILORMOONREDRAW DATA
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa, The University of Tokyo, Japan; Naohiro Yanase, BOOK WALKER Co.,Ltd., Japan
WP-V2.V9.7: STYLE TRANSFER USING OPTIMAL TRANSPORT VIA WASSERSTEIN DISTANCE
OSeok Ryu, Bowon Lee, Inha University, Korea, Republic of
WP-V2.V9.8: CNN-BASED LOCAL TONE MAPPING IN THE PERCEPTUAL QUANTIZATION DOMAIN
Hongjie You, Kai Cui, Eckehard Steinbach, Technical University of Munich, Germany; Hu Chen, Huawei Technologies Duesseldorf GmbH, Germany; Yichuan Wang, Huawei Technologies Co., Ltd, China
WP-V2.V9.9: Revisiting Artistic Style Transfer for Data Augmentation in a Real-case Scenario
Stefano D'Angelo, Frederic Precioso, Fabien Gandon, Université Côte d'Azur, France
WP-V2.V9.10: DOCUMENT SHADOW REMOVAL WITH FOREGROUND DETECTION LEARNING FROM FULLY SYNTHETIC IMAGES
Yuhi Matsuo, Naofumi Akimoto, Yoshimitsu Aoki, Keio University, Japan