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pro vyhledávání: '"Xu, Sailun"'
We propose a way of learning disentangled content-style representation of image, allowing us to extrapolate images to any style as well as interpolate between any pair of styles. By augmenting data set in a supervised setting and imposing triplet los
Externí odkaz:
http://arxiv.org/abs/2111.15624
Video generation is an interesting problem in computer vision. It is quite popular for data augmentation, special effect in move, AR/VR and so on. With the advances of deep learning, many deep generative models have been proposed to solve this task.
Externí odkaz:
http://arxiv.org/abs/2111.10916
Autor:
Korovina, Ksenia, Xu, Sailun, Kandasamy, Kirthevasan, Neiswanger, Willie, Poczos, Barnabas, Schneider, Jeff, Xing, Eric P.
In applications such as molecule design or drug discovery, it is desirable to have an algorithm which recommends new candidate molecules based on the results of past tests. These molecules first need to be synthesized and then tested for objective pr
Externí odkaz:
http://arxiv.org/abs/1908.01425