Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region

Author:

Hu Teng1ORCID,Yi Ran1ORCID,Zhu Haokun1ORCID,Liu Liang2ORCID,Peng Jinlong2ORCID,Wang Yabiao2ORCID,Wang Chengjie1ORCID,Ma Lizhuang1ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Tencent Youtu Lab, Shanghai, China

Funder

Young Elite Scientists Sponsorship Program by CAST

The Fundamental Research Funds for the Central Universities

Shanghai Sailing Program

Shanghai Municipal Science and Technology Major Project

CCF-Tencent Open Research Fund

Beijing Natural Science Foundation

Shanghai Science and Technology Commision

National Natural Science Foundation of China

Publisher

ACM

Reference30 articles.

1. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In International conference on machine learning. PMLR, 214--223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214--223.

2. Kaidi Cao , Jing Liao , and Lu Yuan . 2018 . Carigans: Unpaired photo-to-caricature translation. arXiv preprint arXiv:1811.00222 (2018). Kaidi Cao, Jing Liao, and Lu Yuan. 2018. Carigans: Unpaired photo-to-caricature translation. arXiv preprint arXiv:1811.00222 (2018).

3. ImageNet: A large-scale hierarchical image database

4. Yaroslav Ganin , Tejas Kulkarni , Igor Babuschkin , SM Ali Eslami , and Oriol Vinyals . 2018 . Synthesizing programs for images using reinforced adversarial learning . In International Conference on Machine Learning. PMLR, 1666--1675 . Yaroslav Ganin, Tejas Kulkarni, Igor Babuschkin, SM Ali Eslami, and Oriol Vinyals. 2018. Synthesizing programs for images using reinforced adversarial learning. In International Conference on Machine Learning. PMLR, 1666--1675.

5. Image Style Transfer Using Convolutional Neural Networks

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2. Stylized neural painting with dynamic stroke allocation;Journal of Electronic Imaging;2024-03-20

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