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Found 5 papers, 4 papers with code
Segmentation-Based Parametric Painting
We introduce a novel image-to-painting method that facilitates the creation of large-scale, high-fidelity paintings with human-like quality and stylistic variation.
Cross-modal Latent Space Alignment for Image to Avatar Translation
We present a novel method for automatic vectorized avatar generation from a single portrait image.
MixerGAN: An MLP-Based Architecture for Unpaired Image-to-Image Translation
While attention-based transformer networks achieve unparalleled success in nearly all language tasks, the large number of tokens (pixels) found in images coupled with the quadratic activation memory usage makes them prohibitive for problems in computer vision.
Multimodal Word Sense Disambiguation in Creative Practice
We present a dataset, Ambiguous Descriptions of Art Images (ADARI), of contemporary workpieces, which aims to provide a foundational resource for subjective image description and multimodal word disambiguation in the context of creative practice.
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists
We propose a method to integrate an artistic style to the brushstrokes and the painting process through collaboration with a human artist.
