Results 21 to 30 of about 131,036 (273)
Stereoscopic Neural Style Transfer [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Accepted by ...
Chen, Dongdong +4 more
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Deep Learning for Text Style Transfer: A Survey
Computational Linguistics, 2022 Text style transfer is an important task in natural language generation, which aims to control certain attributes in the generated text, such as politeness, emotion, humor, and many others.
Di Jin +4 more
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A Variety of Choice Methods for Image-Based Artistic Rendering
Applied Sciences, 2022 Neural style transfer (NST) is a technique based on the deep learning of a convolutional neural network (CNN) to create entertaining pictures by cleverly stylizing ordinary pictures with the predetermined visual art style.
Chiu-Chin Lin +5 more
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Neural Style Transfer Using ResNet50V2
International Journal of Advanced Research in Science, Communication and Technology, 2022 The test of taking a content picture and a style picture as info and taking a picture with the content of the content picture and the style of the style picture is known as Neural Style Transfer (NST). The most often used approach for Neural Style Transfer is an Artificial Neural Networks (ANN) that utilizes ResNet50V2 and TensorFlow. Our investigation
null S. Sai Krupa Reddy +5 more
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Employing Neural Style Transfer for Generating Deep Dream Images
ARO-The Scientific Journal of Koya University, 2022 In recent years, deep dream and neural style transfer emerged as hot topics in deep learning. Hence, mixing those two techniques support the art and enhance the images that simulate hallucinations among psychiatric patients and drug addicts.
Lafta R. Al-Khazraji +2 more
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Neural Neighbor Style Transfer
, 2022 We propose Neural Neighbor Style Transfer (NNST), a pipeline that offers state-of-the-art quality, generalization, and competitive efficiency for artistic style transfer. Our approach is based on explicitly replacing neural features extracted from the content input (to be stylized) with those from a style exemplar, then synthesizing the final output ...
Kolkin, Nicholas +5 more
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Using a Pre-Trained Neural Network (VGG 16) to Solve the Image Style Transfer Problem
Современные информационные технологии и IT-образование, 2022 The task of image style transfer is to create a new, previously non-existent image by combining two given images ‒ the original image and the styled image.
Moutouama N’dah Bienvenu Mouale
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Mathematics, 2023 In the rapidly emerging era of untact (“contact-free”) technologies, the requirement for three-dimensional (3D) virtual environments utilized in virtual reality (VR)/augmented reality (AR) and the metaverse has seen significant growth, owing to their ...
Jisun Park, Kyungeun Cho
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The Cognition of Audience to Artistic Style Transfer
Applied Sciences, 2021 Artificial Intelligence (AI) is becoming more popular in various fields, including the area of art creation. Advances in AI technology bring new opportunities and challenges in the creation, experience, and appreciation of art. The neural style transfer (
Yanru Lyu +3 more
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Neural Network Techniques for Image Style Transfer [PDF]
ITM Web of ConferencesWith the rapid advancement of deep learning technology, neural networks have achieved remarkable results in the field of image processing. Particularly in image style transfer, neural network-based methods have become a research hotspot.
Zhang Ziqi
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