Results 51 to 60 of about 5,049,293 (271)
Currently, it is hard to compare and evaluate different style transfer algorithms due to chaotic definitions of style and the absence of agreed objective validation methods in the study of style transfer. In this paper, a novel approach, the Unified Style Transfer (UST) model, is proposed.
Huang, Guanjie +4 more
openaire +2 more sources
Total Style Transfer with a Single Feed-Forward Network
The development of recent image style transfer methods allows the quick transformation of an input content image into an arbitrary style. However, these methods have a limitation that the scale-across style pattern of a style image cannot be fully ...
Minseong Kim, Hyun-Chul Choi
doaj +1 more source
Cross-Language Font Style Transfer
AbstractIn this paper, we propose a cross-language font style transfer system that can synthesize a new font by observing only a few samples from another language. Automatic font synthesis is a challenging task and has attracted much research interest.
Chenhao Li +4 more
openaire +1 more source
An Edge Filter Based Approach of Neural Style Transfer to the Image Stylization
Transferring artistic styles onto any image or photograph has become popular in industry and academia in recent years. The use of neural style transfer (NST) for image style transfer is getting more popular.
Shubham Bagwari +5 more
doaj +1 more source
Multiscale style transfer based on a Laplacian pyramid for traditional Chinese painting
Style transfer is adopted to synthesize appealing stylized images that preserve the structure of a content image but carry the pattern of a style image.
Kunxiao Liu +3 more
doaj +1 more source
Style Mixer: Semantic‐aware Multi‐Style Transfer Network [PDF]
AbstractRecent neural style transfer frameworks have obtained astonishing visual quality and flexibility in Single‐style Transfer (SST), but little attention has been paid to Multi‐style Transfer (MST) which refers to simultaneously transferring multiple styles to the same image.
Zixuan Huang, Jinghuai Zhang, Jing Liao
openaire +2 more sources
Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models
A new style transfer-based image manipulation framework combining generative networks and style transfer networks is presented in this paper. Unlike conventional style transfer tasks, we tackle a new task, text-guided image manipulation. We realize style
Ren Togo +3 more
doaj +1 more source
Material Translation Based on Neural Style Transfer with Ideal Style Image Retrieval
The field of Neural Style Transfer (NST) has led to interesting applications that enable us to transform reality as human beings perceive it. Particularly, NST for material translation aims to transform the material of an object into that of a target ...
Gibran Benitez-Garcia +2 more
doaj +1 more source
This paper introduces a deep-learning approach to photographic style transfer that handles a large variety of image content while faithfully transferring the reference style.
Bala, Kavita +3 more
core +1 more source

