A Survey on Style Transfer Using Generative Adversarial Networks

Generative Adversarial Style Transfer Networks for Face Aging

We quantitatively evaluate our pro- posed method through a user study and show that it outper- forms prior state-of-the-art techniques for face aging. 1.

Applying Neural Style Transfer in Generative Adversarial Nets for ...

We plan to apply the Style Transfer technique using GANs for the brain MRI harmonization task across different sites. In GAN models, the AdaIN ( ...

Image Generation Using StyleVGG19-NST Generative Adversarial ...

This research integrates Style. Generative Adversarial Networks with Visual Geometry Group 19. (VGG19) and Neural Style Transfer (NST) to address this.

Search for GAN style - Papers With Code

In this paper, we present the first text style transfer network that allows for real-time control of the crucial stylistic degree of the glyph through an ...

Applied and Computational Engineering

Research on the Principles and Applications of Generative Adversarial Networks in Image Style Transfer. Yubing Qu *,1,. 1 College of Computer ...

Generative Adversarial Network Based on Cnn Classifier Predicted ...

In recent years, image style transfer has emerged as an increasingly popular research theme in the field of computer vision.

Paper Digest: Recent Papers on Style Transfer

Highlight: We present novel approaches involving generative adversarial networks and diffusion models in order to synthesize high quality, live ...

A survey on Image Data Augmentation for Deep Learning

... adversarial training, generative adversarial networks, neural style transfer, and meta-learning. The application of augmentation methods ...

Image Style Transfer Based on Generative Adversarial Network and ...

With the rapid development of deep learning, image style transfer has become one of the research hotspots in the field of computer vision.

Unsupervised Text Style Transfer using Language Models as ...

Binary classifiers are often employed as discriminators in GAN-based unsupervised style transfer systems to ensure that transferred sentences are similar to ...

Research on Image Style Transfer and Artistic Creation Algorithm ...

Improved generative adversarial network and its application in image oil painting style transfer. Image and Vision Computing, 105, 104087. [7] Xu, W., Long ...

Application of in Information Visualization and Generative ...

Style Transfer; GAN; Neural Style Transfer. Abstract. Style transfer is the task that aims to adopt the appearance or visual style of an image ...

Image Style Transfer based on Generative Adversarial Network (2020)

TL;DR: The processing of intermediate layer features in this study can also be used in areas such as photo enhancement, image dehazing and face swapping to ...

Audio style conversion using deep learning - Gigvvy Science

Singing style transfer using Cycle-consistent boundary equilibrium generative adversarial network. ... in sentiment analysis: A survey ...

An Improved GAN Technique for Style Transfer - DeepLearning.AI

Ganilla aims to wed photographic content and artistic style for illustrations in children's books. It converts photos into virtual artwork.

What is Style Transfer - Activeloop

... using deep learning techniques. StyleGAN, short for Style Generative Adversarial Network, is a cutting-edge deep learning architecture that has gained ...

InkGAN: Generative Adversarial Networks for Ink-and-Wash Style ...

... style transfer using a GAN structure. The proposed method ... Furthermore, an ablation study is conducted to evaluate the effectiveness of each ...

A model integrating attention mechanism and generative adversarial ...

Image style transfer is an important way to combine different styles and contents to generate new images, which plays an important role in ...

HDMA-CGAN: Advancing Image Style Transfer with Deep Learning

We introduce the hierarchical dynamic multi-attention cycle generative adversarial network (HDMA-CGAN), an innovative deep learning architecture poised to ...

Unpaired Style Transfer Conditional Generative Adversarial Network ...

This work explores an approach for building a dataset of paired document images with a matching scanned version of each document without physical printers or ...