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Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiring professional sketches or even edge maps as input. To…

Graphics · Computer Science 2020-06-09 Shu-Yu Chen , Wanchao Su , Lin Gao , Shihong Xia , Hongbo Fu

Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of deep generative convolutional neural networks (CNNs), attempts…

Computer Vision and Pattern Recognition · Computer Science 2021-04-08 Xing Di , Vishal M. Patel

Recent studies using deep neural networks have shown remarkable success in style transfer especially for artistic and photo-realistic images. However, the approaches using global feature correlations fail to capture small, intricate…

Computer Vision and Pattern Recognition · Computer Science 2018-11-20 Zhizhong Wang , Lei Zhao , Wei Xing , Dongming Lu

In this paper, we propose a novel method to learn face sketch synthesis models by using unpaired data. Our main idea is bridging the photo domain $\mathcal{X}$ and the sketch domain $Y$ by using the line-drawing domain $\mathcal{Z}$.…

Computer Vision and Pattern Recognition · Computer Science 2021-02-26 Meimei Shang , Fei Gao , Xiang Li , Jingjie Zhu , Lingna Dai

The facial sketch synthesis (FSS) model, capable of generating sketch portraits from given facial photographs, holds profound implications across multiple domains, encompassing cross-modal face recognition, entertainment, art, media, among…

Computer Vision and Pattern Recognition · Computer Science 2024-08-23 Bowen Sun , Guo Lu , Shibao Zheng

Automatic synthesis of faces from visual attributes is an important problem in computer vision and has wide applications in law enforcement and entertainment. With the advent of deep generative convolutional neural networks (CNNs), attempts…

Computer Vision and Pattern Recognition · Computer Science 2018-01-03 Xing Di , Vishal M. Patel

This paper presents an automatic image synthesis method to transfer the style of an example image to a content image. When standard neural style transfer approaches are used, the textures and colours in different semantic regions of the…

Computer Vision and Pattern Recognition · Computer Science 2017-09-01 Huihuang Zhao , Paul L. Rosin , Yu-Kun Lai

Face sketch synthesis has been widely used in multi-media entertainment and law enforcement. Despite the recent developments in deep neural networks, accurate and realistic face sketch synthesis is still a challenging task due to the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-09 Fan Ji , Muyi Sun , Xingqun Qi , Qi Li , Zhenan Sun

This research presents a new parametric style transfer framework specifically designed for curve-based design sketches. In this research, traditional challenges faced by neural style transfer methods in handling binary sketch…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Yu-hsuan Chen , Levent Burak Kara , Jonathan Cagan

Sketch portrait generation benefits a wide range of applications such as digital entertainment and law enforcement. Although plenty of efforts have been dedicated to this task, several issues still remain unsolved for generating vivid and…

Computer Vision and Pattern Recognition · Computer Science 2017-10-05 Dongyu Zhang , Liang Lin , Tianshui Chen , Xian Wu , Wenwei Tan , Ebroul Izquierdo

Freehand sketches often contain sparse visual detail. In spite of the sparsity, they are easily and consistently recognized by humans across cultures, languages and age groups. Therefore, analyzing such sparse sketches can aid our…

Computer Vision and Pattern Recognition · Computer Science 2015-02-05 Ravi Kiran Sarvadevabhatla , R. Venkatesh Babu

We present a novel system for sketch-based face image editing, enabling users to edit images intuitively by sketching a few strokes on a region of interest. Our interface features tools to express a desired image manipulation by providing…

Computer Vision and Pattern Recognition · Computer Science 2018-06-08 Tiziano Portenier , Qiyang Hu , Attila Szabó , Siavash Arjomand Bigdeli , Paolo Favaro , Matthias Zwicker

In this paper, we explore the task of generating photo-realistic face images from hand-drawn sketches. Existing image-to-image translation methods require a large-scale dataset of paired sketches and images for supervision. They typically…

Computer Vision and Pattern Recognition · Computer Science 2020-09-01 Yuhang Li , Xuejin Chen , Binxin Yang , Zihan Chen , Zhihua Cheng , Zheng-Jun Zha

In this paper, we use deep neural networks for inverting face sketches to synthesize photorealistic face images. We first construct a semi-simulated dataset containing a very large number of computer-generated face sketches with different…

Computer Vision and Pattern Recognition · Computer Science 2016-10-25 Yağmur Güçlütürk , Umut Güçlü , Rob van Lier , Marcel A. J. van Gerven

Face modeling has been paid much attention in the field of visual computing. There exist many scenarios, including cartoon characters, avatars for social media, 3D face caricatures as well as face-related art and design, where low-cost…

Graphics · Computer Science 2017-06-08 Xiaoguang Han , Chang Gao , Yizhou Yu

In this paper, we present a deep coupled framework to address the problem of matching sketch image against a gallery of mugshots. Face sketches have the essential in- formation about the spatial topology and geometric details of faces while…

Computer Vision and Pattern Recognition · Computer Science 2018-08-02 Seyed Mehdi Iranmanesh , Hadi Kazemi , Sobhan Soleymani , Ali Dabouei , Nasser M. Nasrabadi

Style-transfer is a process of migrating a style from a given image to the content of another, synthesizing a new image which is an artistic mixture of the two. Recent work on this problem adopting Convolutional Neural-networks (CNN)…

Computer Vision and Pattern Recognition · Computer Science 2017-04-26 Michael Elad , Peyman Milanfar

Synthesizing face sketches from real photos and its inverse have many applications. However, photo/sketch synthesis remains a challenging problem due to the fact that photo and sketch have different characteristics. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2018-03-06 Lidan Wang , Vishwanath A. Sindagi , Vishal M. Patel

Researchers have explored various ways to generate realistic images from freehand sketches, e.g., for objects and human faces. However, how to generate realistic human body images from sketches is still a challenging problem. It is, first…

Computer Vision and Pattern Recognition · Computer Science 2022-05-23 Xian Wu , Chen Wang , Hongbo Fu , Ariel Shamir , Song-Hai Zhang , Shi-Min Hu

We propose a novel image-to-pencil translation method that could not only generate high-quality pencil sketches but also offer the drawing process. Existing pencil sketch algorithms are based on texture rendering rather than the direct…

Computer Vision and Pattern Recognition · Computer Science 2020-12-17 Zhengyan Tong , Xuanhong Chen , Bingbing Ni , Xiaohang Wang
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