In Interactive Neural Painting (INP) scenario, the model interacts with the user to paint a reference image. The model provides a set of stroke suggestions ...
Jul 31, 2023 · This paper advances the state of the art in this emerging research domain by proposing the first approach for Interactive NP.
In this paper we introduce the novel task of interactive neural painting, where a user tries to reproduce a scene on a painting and the objective is to give ( ...
Dec 13, 2024 · In the last few years, Neural Painting (NP) techniques became capable of producing extremely realistic artworks.
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This paper advances the state of the art in this emerging research domain by proposing the first approach for Interactive NP.
I-Paint tends to predict sequences of strokes that are distributed over the subject and color consistent, which resembles the painting style of the datasets.
We propose an image-to-painting translation method that generates vivid and realistic painting artworks with controllable styles.
Abstract. We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas.
Neural Brushstroke Engine (NeuBE) includes a GAN model that learns to mimic many drawing media styles by learning from unlabeled images.