The future of work and workplace is very much in flux. A vast amount has been written about
artificial intelligence (AI) and its impact on work, with much of it focused on automation and …

Currently, the development of the foundation model, metaverse, nonfungible token (NFT),
and other emerging technologies has brought profound effects on the whole art field …

Painting is an artistic process of rendering visual content that achieves the high-level
communication goals of an artist that may change dynamically throughout the creative …

In this paper, we present an active learning enabled robotic painting system, called
ShadowPainter, which acquires artist-specific painting information from the artwork creating …

We propose Neural Brushstroke Engine, the first method to apply deep generative models to
learn a distribution of interactive drawing tools. Our conditional GAN model learns the latent …

Robotic painting has been a subject of interest among both artists and roboticists since the
1970s. Researchers and interdisciplinary artists have employed various painting techniques …

We present a technique that leverages 2D generative diffusion models (DMs) for interactive
texture painting on the surface of 3D meshes. Unlike existing texture painting systems, our …

The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization
via transfer of geometric textural details. Lacking the necessary volumes of data for standard …

Brush stroke training models for Chinese brush play an important role in robotic Chinese
calligraphy as the basis of stroke generation. How to combine the end-to-end method and …

Although digital painting has advanced much in recent years, there is still a significant divide
between physically drawn paintings and purely digitally drawn paintings. These differences …