Emulating Pencil Sketches from 2D Images

Ahmad, Azhan; Phon-Amnuaisuk, Somnuk; Shannon, Peter David

doi:10.1007/978-3-319-07692-8_54

Cited by 1 publication

(2 citation statements)

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“…In the more popular contemporary approach, a new image is created by modifying original image using transformation, artistic filters and various composition tactics. The existing images will go through various processes, where their color, shapes, texture are modified and then re-composited into a new image [12]. In this style, the content is consciously modified by a human designer who asserts all extraneous information to the composited content.…”

Section: Related Workmentioning

confidence: 99%

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Image Synthesis and Style Transfer

Phon-Amnuaisuk¹

2019

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Affine transformation, layer blending, and artistic filters are popular processes that graphic designers employ to transform pixels of an image to create a desired effect. Here, we examine various approaches that synthesize new images: pixel-based compositing models and in particular, distributed representations of deep neural network models. This paper focuses on synthesizing new images from a learned representation model obtained from the VGG network. This approach offers an interesting creative process from its distributed representation of information in hidden layers of a deep VGG network i.e., information such as contour, shape, etc. are effectively captured in hidden layers of neural networks. Conceptually, if Φ is the function that transforms input pixels into distributed representations of VGG layers h, a new synthesized image X can be generated from its inverse function, X = Φ −1 (h). We describe the concept behind the approach, present some representative synthesized images and style-transferred image examples.

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Section: Related Workmentioning

confidence: 99%

“…1. Composite models: the image in column two is generated by applying a filter to emulate the pencil sketch effect (see [12]). The image in column three is generated by compositing two images together.…”

Section: Composite Modelsmentioning

confidence: 99%

Image Synthesis and Style Transfer

Phon-Amnuaisuk¹

2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Emulating Pencil Sketches from 2D Images

Cited by 1 publication

References 14 publications

Image Synthesis and Style Transfer

Image Synthesis and Style Transfer

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