Ai-generated content (aigc) for various data modalities: A survey

LG Foo, H Rahmani, J Liu - ar** more human-intelligible painting agents
J Singh, C Smith, J Echevarria, L Zheng - European conference on …, 2022‏ - Springer
Stroke based rendering methods have recently become a popular solution for the
generation of stylized paintings. However, the current research in this direction is focused …

Identity encoder for personalized diffusion

YC Su, KCK Chan, Y Li, Y Zhao, H Zhang… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Many applications can benefit from personalized image generation models, including image
enhancement, video conferences, just to name a few. Existing works achieved …

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 …

Collaborative Neural Painting

N Dall'Asen, W Menapace, E Peruzzo… - Computer Vision and …, 2025‏ - Elsevier
The process of painting fosters creativity and rational planning. However, existing generative
AI mostly focuses on producing visually pleasant artworks, without emphasizing the painting …

Artistic style decomposition for texture and shape editing

M Reimann, M Büßemeyer, B Buchheim, A Semmo… - The Visual …, 2024‏ - Springer
While methods for generative image synthesis and example-based stylization produce
impressive results, their black-box style representation intertwines shape, texture, and color …

[HTML][HTML] Interactive neural painting

E Peruzzo, W Menapace, V Goel, F Arrigoni… - Computer Vision and …, 2023‏ - Elsevier
In the last few years, Neural Painting (NP) techniques became capable of producing
extremely realistic artworks. This paper advances the state of the art in this emerging …