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相关论文: A Pragmatic AI Approach to Creating Artistic Visua…

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Artistic style transfer, a captivating application of generative artificial intelligence, involves fusing the content of one image with the artistic style of another to create unique visual compositions. This paper presents a comprehensive…

计算机视觉与模式识别 · 计算机科学 2023-10-31 Jonayet Miah , Duc M Cao , Md Abu Sayed , Md. Sabbirul Haque

Throughout history, humans have created remarkable works of art, but artificial intelligence has only recently started to make strides in generating visually compelling art. Breakthroughs in the past few years have focused on using…

计算机视觉与模式识别 · 计算机科学 2025-01-17 Kapil Kashyap , Mehak Garg , Sean Fargose , Sindhu Nair

This study investigates how artificial intelligence (AI) recognizes style through style transfer-an AI technique that generates a new image by applying the style of one image to another. Despite the considerable interest that style transfer…

图形学 · 计算机科学 2025-04-22 Yunha Yeo , Daeho Um

Style transfer aims to transfer arbitrary visual styles to content images. We explore algorithms adapted from two papers that try to solve the problem of style transfer while generalizing on unseen styles or compromised visual quality.…

计算机视觉与模式识别 · 计算机科学 2018-06-05 Somshubra Majumdar , Amlaan Bhoi , Ganesh Jagadeesan

We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas. Understanding what these algorithms' outputs achieve is then paramount to describe the creative agency in…

人机交互 · 计算机科学 2020-03-17 Thomas Kerdreux , Louis Thiry , Erwan Kerdreux

Artistic style transfer is the problem of synthesizing an image with content similar to a given image and style similar to another. Although recent feed-forward neural networks can generate stylized images in real-time, these models produce…

计算机视觉与模式识别 · 计算机科学 2018-11-22 Mohammad Babaeizadeh , Golnaz Ghiasi

Arbitrary style transfer is an important problem in computer vision that aims to transfer style patterns from an arbitrary style image to a given content image. However, current methods either rely on slow iterative optimization or fast…

计算机视觉与模式识别 · 计算机科学 2020-12-25 Suryabhan Singh Hada , Miguel Á. Carreira-Perpiñán

We explore the method of style transfer presented in the article "A Neural Algorithm of Artistic Style" by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge (arXiv:1508.06576). We first demonstrate the power of the suggested style space…

计算机视觉与模式识别 · 计算机科学 2016-03-15 Yaroslav Nikulin , Roman Novak

Designing fonts requires a great deal of time and effort. It requires professional skills, such as sketching, vectorizing, and image editing. Additionally, each letter has to be designed individually. In this paper, we will introduce a…

计算机视觉与模式识别 · 计算机科学 2020-01-22 Gantugs Atarsaikhan , Brian Kenji Iwana , Seiichi Uchida

Neural Style Transfer has shown very exciting results enabling new forms of image manipulation. Here we extend the existing method to introduce control over spatial location, colour information and across spatial scale. We demonstrate how…

计算机视觉与模式识别 · 计算机科学 2017-05-12 Leon A. Gatys , Alexander S. Ecker , Matthias Bethge , Aaron Hertzmann , Eli Shechtman

Artificial Intelligence is present in the generation and distribution of culture. How do artists exploit neural networks? What impact do these algorithms have on artistic practice? Through a practice-based research methodology, this paper…

人机交互 · 计算机科学 2023-07-18 Varvara Guljajeva , Mar Canet Sola , Isaac Joseph Clarke

In this work we investigate different avenues of improving the Neural Algorithm of Artistic Style (by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge, arXiv:1508.06576). While showing great results when transferring homogeneous and…

计算机视觉与模式识别 · 计算机科学 2016-05-17 Roman Novak , Yaroslav Nikulin

Neural artistic style transfers and blends the content and style representation of one image with the style of another. This enables artists to create unique innovative visuals and enhances artistic expression in various fields including…

计算机视觉与模式识别 · 计算机科学 2025-08-13 Justin London

This paper presents a content-aware style transfer algorithm for paintings and photos of similar content using pre-trained neural network, obtaining better results than the previous work. In addition, the numerical experiments show that the…

计算机视觉与模式识别 · 计算机科学 2016-01-19 Rujie Yin

Recently, style transfer has received a lot of attention. While much of this research has aimed at speeding up processing, the approaches are still lacking from a principled, art historical standpoint: a style is more than just a single…

计算机视觉与模式识别 · 计算机科学 2018-07-31 Artsiom Sanakoyeu , Dmytro Kotovenko , Sabine Lang , Björn Ommer

Neural style transfer has been demonstrated to be powerful in creating artistic image with help of Convolutional Neural Networks (CNN). However, there is still lack of computational analysis of perceptual components of the artistic style.…

计算机视觉与模式识别 · 计算机科学 2018-11-27 Minchao Li , Shikui Tu , Lei Xu

Art is a variety of human activities that include the production of visual, auditory, or performing objects that express the creativity, creative concepts, or technological abilities of the artist, intended primarily for their beauty or…

计算机与社会 · 计算机科学 2021-05-17 Amogh G. Warkhandkar , Omkar B. Bhambure

Transferring artistic styles onto everyday photographs has become an extremely popular task in both academia and industry. Recently, offline training has replaced on-line iterative optimization, enabling nearly real-time stylization. When…

计算机视觉与模式识别 · 计算机科学 2017-12-01 Xin Wang , Geoffrey Oxholm , Da Zhang , Yuan-Fang Wang

Arbitrary Style Transfer is a technique used to produce a new image from two images: a content image, and a style image. The newly produced image is unseen and is generated from the algorithm itself. Balancing the structure and style…

计算机视觉与模式识别 · 计算机科学 2022-12-23 Weiting Li , Rahul Vyas , Ramya Sree Penta

Artistic style transfer is an image synthesis problem where the content of an image is reproduced with the style of another. Recent works show that a visually appealing style transfer can be achieved by using the hidden activations of a…

计算机视觉与模式识别 · 计算机科学 2016-12-14 Tian Qi Chen , Mark Schmidt
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