Learning-based Artificial Intelligence Artwork: Methodology Taxonomy and Quality Evaluation

Q Wang, HN Dai, J Yang, C Guo, P Childs… - ACM Computing …, 2024 - dl.acm.org
With the development of the theory and technology of computer science, machine or
computer painting is increasingly being explored in the creation of art. Machine-made works …

Stroke-based neural painting and stylization with dynamically predicted painting region

T Hu, R Yi, H Zhu, L Liu, J Peng, Y Wang… - Proceedings of the 31st …, 2023 - dl.acm.org
Stroke-based rendering aims to recreate an image with a set of strokes. Most existing
methods render complex images using an uniform-block-dividing strategy, which leads to …

Artificial intelligence for geometry-based feature extraction, analysis and synthesis in artistic images: a survey

M Vijendran, J Deng, S Chen, ESL Ho… - Artificial Intelligence …, 2024 - Springer
Artificial Intelligence significantly enhances the visual art industry by analyzing, identifying
and generating digitized artistic images. This review highlights the substantial benefits of …

Painterly Style Transfer With Learned Brush Strokes

XC Liu, YC Wu, P Hall - IEEE Transactions on Visualization and …, 2023 - ieeexplore.ieee.org
Real-world paintings are made, by artists, using brush strokes as the rendering primitive to
depict semantic content. The bulk of the Neural Style Transfer (NST) is known transferring …

ProcessPainter: Learning to draw from sequence data

Y Song, S Huang, C Yao, H Ci, X Ye, J Liu… - SIGGRAPH Asia 2024 …, 2024 - dl.acm.org
The painting process of artists is inherently stepwise and varies significantly among different
painters and styles. Generating detailed, step-by-step painting processes is essential for art …

Towards Artist-Like Painting Agents with Multi-Granularity Semantic Alignment

Z Hu, Y Chen, Z Zhao, J Liu, B Ke, B Ni - Proceedings of the 32nd ACM …, 2024 - dl.acm.org
Mainstream painting agents based on stroke-based rendering (SBR) attempt to translate
visual appearance into a sequence of vectorized painting-style strokes. Lacking a direct …

ProcessPainter: Learn Painting Process from Sequence Data

Y Song, S Huang, C Yao, X Ye, H Ci, J Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
The painting process of artists is inherently stepwise and varies significantly among different
painters and styles. Generating detailed, step-by-step painting processes is essential for art …

Image representation and reconstruction by compositing Gaussian ellipses

CC Cheng - IET Image Processing, 2024 - Wiley Online Library
In this paper, a method of stroke‐based rendering is proposed for image representation and
reconstruction. The proposed method involves compositing a set of ellipses that greatly vary …

Optimal Image Transport on Sparse Dictionaries

J Huang, H Wang, A Weiermann… - arxiv preprint arxiv …, 2023 - arxiv.org
In this paper, we derive a novel optimal image transport algorithm over sparse dictionaries
by taking advantage of Sparse Representation (SR) and Optimal Transport (OT). Concisely …

AttentionPainter: An Efficient and Adaptive Stroke Predictor for Scene Painting

Y Tang, Y Wang, T Hu, R Yi, X Tan, L Ma… - arxiv preprint arxiv …, 2024 - arxiv.org
Stroke-based Rendering (SBR) aims to decompose an input image into a sequence of
parameterized strokes, which can be rendered into a painting that resembles the input …