ETNet: Error Transition Network for Arbitrary Style Transfer

NeurIPS 2019 Chunjin SongZhijie WuYang ZhouMinglun GongHui Huang

Numerous valuable efforts have been devoted to achieving arbitrary style transfer since the seminal work of Gatys et al. However, existing state-of-the-art approaches often generate insufficiently stylized results under challenging cases... (read more)

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