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Can I read CLIPasso: semantically-aware object sketching on EtoBox?

CLIPasso: semantically-aware object sketching by Yael Vinker; Ehsan Pajouheshgar; Jessica Y. Bo; Roman Christian Bachmann; Amit Haim Bermano; Daniel Cohen-Or; Amir Zamir; Ariel Shamir is a Computer Science article available to read on EtoBox.

What is CLIPasso: semantically-aware object sketching about?

Abstraction is at the heart of sketching due to the simple and minimal nature of line drawings. Abstraction entails identifying the essential visual properties of an object or scene, which requires semantic understanding and prior knowledge of high-level concepts. Abstract depictions are therefore challenging for artists, and even more so for machines. We present CLIPasso, an object sketching method that can achieve different levels of abstraction, guided by geometric and semantic simplifications. While sketch generation methods often rely on explicit sketch datasets for training, we utilize the remarkable ability of CLIP (Contrastive-Language-Image-Pretraining) to distill semantic concepts from sketches and images alike. We define a sketch as a set of Bézier curves and use a differentiable rasterizer to optimize the parameters of the curves directly with respect to a CLIP-based perceptual loss. The abstraction degree is controlled by varying the number of strokes. The generated sketches demonstrate multiple levels of abstraction while maintaining recognizability, underlying structure, and essential visual components of the subject drawn.

Who reads CLIPasso: semantically-aware object sketching?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Yael Vinker; Ehsan Pajouheshgar; Jessica Y. Bo; Roman Christian Bachmann; Amit Haim Bermano; Daniel Cohen-Or; Amir Zamir; Ariel Shamir
Publisher
ACM
Published
2022
Language
EN
Field
Computer Science (Physical Sciences)

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