Towards Multi-pose Guided Virtual Try-on Network
作者： Haoye Dong , Xiaodan Liang , Xiaohui Shen , Bochao Wang , Hanjiang Lai
DOI:
关键词:
摘要: … experiments on commonly-used datasets and our newlycollected largest virtual try-on … • We introduce a novel task of virtual try-on conditioned on multiple poses, and collect a new …
arxiv.org
harvard.edu参考文章(40)
Diederik P. Kingma, Jimmy Ba, Adam: A Method for Stochastic Optimization arXiv: Learning. ,(2014)
Philipp Fischer, Thomas Brox, None, U-Net: Convolutional Networks for Biomedical Image Segmentation medical image computing and computer assisted intervention. pp. 234- 241 ,(2015) , 10.1007/978-3-319-24574-4_28
Masahiro Sekine, Kaoru Sugita, Frank Perbet, Bjorn Stenger, Masashi Nishiyama, Virtual Fitting by Single-Shot Body Shape Estimation 5th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 21-22 October 2014. pp. 406- 413 ,(2014) , 10.15221/14.406
S. Belongie, J. Malik, J. Puzicha, Shape matching and object recognition using shape contexts IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 24, pp. 509- 522 ,(2002) , 10.1109/34.993558
, Generative Adversarial Nets neural information processing systems. ,vol. 27, pp. 2672- 2680 ,(2014) , 10.3156/JSOFT.29.5_177_2
Simon Osindero, Mehdi Mirza, Conditional Generative Adversarial Nets arXiv: Learning. ,(2014)
F.L. Bookstein, Principal warps: thin-plate splines and the decomposition of deformations IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 11, pp. 567- 585 ,(1989) , 10.1109/34.24792
Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity IEEE Transactions on Image Processing. ,vol. 13, pp. 600- 612 ,(2004) , 10.1109/TIP.2003.819861
Justin Johnson, Alexandre Alahi, Li Fei-Fei, Perceptual Losses for Real-Time Style Transfer and Super-Resolution Computer Vision – ECCV 2016. pp. 694- 711 ,(2016) , 10.1007/978-3-319-46475-6_43
Zeynep Akata, Bernt Schiele, Honglak Lee, Xinchen Yan, Lajanugen Logeswaran, Scott Reed, Generative adversarial text to image synthesis international conference on machine learning. pp. 1060- 1069 ,(2016)