Search Results for author: Baoyang Chen

Found 7 papers, 1 papers with code

Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

no code implementations8 May 2023 Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He

In this paper, we present a novel system (denoted as Polaca) to generate poetic Chinese landscape painting with calligraphy.

SE-GAN: Skeleton Enhanced GAN-based Model for Brush Handwriting Font Generation

no code implementations22 Apr 2022 Shaozu Yuan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He

There is rare research on brush handwriting font generation, which involves holistic structure changes and complex strokes transfer.

Font Generation

Brain-Inspired Inference on Missing Video Sequence

no code implementations15 Dec 2019 Weimian Li, Baoyang Chen, Wenmin Wang

By means of integrating different latent variables with learned transformation features, the model could learn more various possible motion modes.

Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination

no code implementations9 May 2019 Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He

We present a novel real-time, collaborative, and interactive AI painting system, Mappa Mundi, for artistic Mind Map creation.

From Knowledge Map to Mind Map: Artificial Imagination

no code implementations4 Mar 2019 Ruixue Liu, Baoyang Chen, XIAOYU GUO, Yan Dai, Meng Chen, Zhijie Qiu, Xiaodong He

Imagination is one of the most important factors which makes an artistic painting unique and impressive.

Video Imagination from a Single Image with Transformation Generation

1 code implementation13 Jun 2017 Baoyang Chen, Wenmin Wang, Jinzhuo Wang, Xiongtao Chen

To overcome those problems, we propose a new framework that produce imaginary videos by transformation generation.

Image Quality Assessment

Long-Term Video Interpolation with Bidirectional Predictive Network

no code implementations13 Jun 2017 Xiongtao Chen, Wenmin Wang, Jinzhuo Wang, Weimian Li, Baoyang Chen

In this paper, we present a novel deep architecture called bidirectional predictive network (BiPN) that predicts intermediate frames from two opposite directions.

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