This paper presents an unpaired method for creating line drawings from photographs.
Current methods often rely on high quality paired datasets to generate line drawings …

This paper proposes a novel message passing neural (MPN) architecture Conv-MPN, which
reconstructs an outdoor building as a planar graph from a single RGB image. Conv-MPN is …

We explore neural painters, a generative model for brushstrokes learned from a real non-
differentiable and non-deterministic painting program. We show that when training an agent …

The structural design process for buildings is time-consuming and laborious. To automate
this process, structural engineers combine optimization methods with simulation tools to find …

We investigate using reinforcement learning agents as generative models of images
(extending arXiv: 1804.01118). A generative agent controls a simulated painting …

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 …

Generation of stroke-based non-photorealistic imagery, is an important problem in the
computer vision community. As an endeavor in this direction, substantial recent research …

In the last few years, artistic image-making with deep learning models has gained a
considerable amount of traction. A large number of these models operate directly in the pixel …

The generation of well-designed artwork is often quite time-consuming and assumes a high
degree of proficiency on part of the human painter. In order to facilitate the human painting …

The generation of painting steps can help people understand how artistic works are created
and assist beginners in learning through copying. However, this task faces significant …