Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Daiheng Gao"'
Manipulating latent code in generative adversarial networks (GANs) for facial image synthesis mainly focuses on continuous attribute synthesis (e.g., age, pose and emotion), while discrete attribute synthesis (like face mask and eyeglasses) receives
Externí odkaz:
http://arxiv.org/abs/2207.05300
Publikováno v:
International Journal of Computer Vision.
This paper studies compositional 3D-aware image synthesis for both single-object and multi-object scenes. We observe that two challenges remain in this field: existing approaches (1) lack geometry constraints and thus compromise the multi-view consis
Publikováno v:
Pattern Recognition. 141:109628
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
3D-aware image synthesis aims to generate images of objects from multiple views by learning a 3D representation. However, one key challenge remains: existing approaches lack geometry constraints, hence usually fail to generate multi-view consistent i
Autor:
Qi Wang, Yinghui Xu, Li Hu, Haiming Zhao, Peng Zhang, Daiheng Gao, Jian Cao, Lian Zhuo, Bang Zhang, Jinwei Qi, Pan Pan, Xiaoduan Feng
Publikováno v:
ACM Multimedia
Virtual character has been widely adopted in many areas, such as virtual assistant, virtual customer service, robotics and etc. In this paper, we focus on its application in e-commerce live streaming. Particularly, we propose a virtual character gene
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Publikováno v:
Human Brain and Artificial Intelligence ISBN: 9789811612879
Spiking neural networks (SNNs), stem from neuroscience, are promising for energy-efficient information processing due to the “event-driven” characteristic, whereas, they are inferior to artificial neural networks (ANNs) in real complicated tasks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d6f19cb6db8cd5f01f8b34233a224f4
https://doi.org/10.1007/978-981-16-1288-6_1
https://doi.org/10.1007/978-981-16-1288-6_1
Publikováno v:
ICIP
Pedestrian attribute analysis, which is a vital component in the intelligent video surveillance area, can facilitate person retrieval, searching and indexing. However, the resolution of the surveillance video is relatively low. The ability of neural