most citedDrafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer

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cs.CV20211 cited

Paint Transformer: Feed Forward Neural Painting with Stroke Prediction

Songhua Liu, Tianwei Lin, Dongliang He +5

Neural painting refers to the procedure of producing a series of strokes for a given image and non-photo-realistically recreating it using neural networks. While reinforcement lear…

cs.CV202110 cited

Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer

Tianwei Lin, Zhuoqi Ma, Fu Li +6

Artistic style transfer aims at migrating the style from an example image to a content image. Currently, optimization-based methods have achieved great stylization quality, but exp…

cs.CV20214 cited

Learning Semantic Person Image Generation by Region-Adaptive Normalization

Zhengyao Lv, Xiaoming Li, Xin Li +4

Human pose transfer has received great attention due to its wide applications, yet is still a challenging task that is not well solved. Recent works have achieved great success to…

cs.CV20191 cited

Adapting Image Super-Resolution State-of-the-arts and Learning Multi-model Ensemble for Video Super-Resolution

Chao Li, Dongliang He, Xiao Liu +2

Recently, image super-resolution has been widely studied and achieved significant progress by leveraging the power of deep convolutional neural networks. However, there has been li…

cs.CV20195 cited

Grand Challenge of 106-Point Facial Landmark Localization

Yinglu Liu, Hao Shen, Yue Si +18

Facial landmark localization is a very crucial step in numerous face related applications, such as face recognition, facial pose estimation, face image synthesis, etc. However, pre…