Knowing the Distance: Understanding the Gap Between Synthetic and Real Data For Face Parsing

27 March 2023

Papers citing "Knowing the Distance: Understanding the Gap Between Synthetic and Real Data For Face Parsing"

5 / 5 papers shown

Title
Learning Human Action Recognition Representations Without Real Humans Howard Zhong Samarth Mishra Donghyun Kim SouYoung Jin Yikang Shen Hildegard Kuehne Leonid Karlinsky Venkatesh Saligrama Aude Oliva Rogerio Feris 29 3 0 10 Nov 2023
Face Recognition Using Synthetic Face Data Omer Granoviter Alexey Gruzdev V. Loginov Max Kogan Orly Zvitia 62 1 0 17 May 2023
General Facial Representation Learning in a Visual-Linguistic Manner Yinglin Zheng Hao Yang Ting Zhang Jianmin Bao Dongdong Chen Yangyu Huang Lu Yuan Dong Chen Ming Zeng Fang Wen CVBM 146 164 0 06 Dec 2021
AGRNet: Adaptive Graph Representation Learning and Reasoning for Face Parsing Gusi Te Wei Hu Yinglu Liu Hailin Shi Tao Mei CVBM 3DH 123 27 0 18 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 312 10,391 0 12 Dec 2018