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Can a user create a deep generative model by sketching a single example? Traditionally, creating a GAN model has required the collection of a large-scale dataset of exemplars and specialized knowledge in deep learning. In contrast,…

Computer Vision and Pattern Recognition · Computer Science 2021-09-21 Sheng-Yu Wang , David Bau , Jun-Yan Zhu

Interactive facial image manipulation attempts to edit single and multiple face attributes using a photo-realistic face and/or semantic mask as input. In the absence of the photo-realistic image (only sketch/mask available), previous…

Computer Vision and Pattern Recognition · Computer Science 2021-10-12 Yan Yang , Md Zakir Hossain , Tom Gedeon , Shafin Rahman

In this paper we investigate image generation guided by hand sketch. When the input sketch is badly drawn, the output of common image-to-image translation follows the input edges due to the hard condition imposed by the translation process.…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Yongyi Lu , Shangzhe Wu , Yu-Wing Tai , Chi-Keung Tang

We propose a new approach for synthesizing fully detailed art-stylized images from sketches. Given a sketch, with no semantic tagging, and a reference image of a specific style, the model can synthesize meaningful details with colors and…

Computer Vision and Pattern Recognition · Computer Science 2020-10-05 Bingchen Liu , Kunpeng Song , Ahmed Elgammal

Synthesizing realistic images from human drawn sketches is a challenging problem in computer graphics and vision. Existing approaches either need exact edge maps, or rely on retrieval of existing photographs. In this work, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2018-04-16 Wengling Chen , James Hays

Structural guidance in an image-to-image translation allows intricate control over the shapes of synthesized images. Generating high-quality realistic images from user-specified rough hand-drawn sketches is one such task that aims to impose…

Graphics · Computer Science 2025-02-24 Prasun Roy , Saumik Bhattacharya , Subhankar Ghosh , Umapada Pal , Michael Blumenstein

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

Sketch-based shape modeling aims to bridge the gap between 2D drawing and 3D modeling by providing an intuitive and accessible approach to create 3D shapes from 2D sketches. However, existing methods still suffer from limitations in…

Graphics · Computer Science 2023-09-13 Jie Zhou , Zhongjin Luo , Qian Yu , Xiaoguang Han , Hongbo Fu

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

Sketch-to-image (S2I) translation plays an important role in image synthesis and manipulation tasks, such as photo editing and colorization. Some specific S2I translation including sketch-to-photo and sketch-to-painting can be used as…

Computer Vision and Pattern Recognition · Computer Science 2020-06-19 Jialu Huang , Jing Liao , Zhifeng Tan , Sam Kwong

Creative sketch is a universal way of visual expression, but translating images from an abstract sketch is very challenging. Traditionally, creating a deep learning model for sketch-to-image synthesis needs to overcome the distorted input…

Computer Vision and Pattern Recognition · Computer Science 2023-05-31 Qiang Wang , Di Kong , Fengyin Lin , Yonggang Qi

Image translation is a computer vision task that involves translating one representation of the scene into another. Various approaches have been proposed and achieved highly desirable results. Nevertheless, its accomplishment requires…

Computer Vision and Pattern Recognition · Computer Science 2018-11-02 Dichao Hu

The paradigm of image-to-image translation is leveraged for the benefit of sketch stylization via transfer of geometric textural details. Lacking the necessary volumes of data for standard training of translation systems, we advocate for…

Graphics · Computer Science 2020-09-07 Noa Fish , Lilach Perry , Amit Bermano , Daniel Cohen-Or

We propose a method for scene-level sketch-to-photo synthesis with text guidance. Although object-level sketch-to-photo synthesis has been widely studied, whole-scene synthesis is still challenging without reference photos that adequately…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 AprilPyone MaungMaung , Makoto Shing , Kentaro Mitsui , Kei Sawada , Fumio Okura

We propose a novel model named Multi-Channel Attention Selection Generative Adversarial Network (SelectionGAN) for guided image-to-image translation, where we translate an input image into another while respecting an external semantic…

Computer Vision and Pattern Recognition · Computer Science 2022-10-07 Hao Tang , Philip H. S. Torr , Nicu Sebe

Sketching and natural languages are effective communication media for interactive applications. We introduce Sketchforme, the first neural-network-based system that can generate sketches based on text descriptions specified by users.…

Human-Computer Interaction · Computer Science 2019-04-10 Forrest Huang , John F. Canny

Text-to-image models are showcasing the impressive ability to create high-quality and diverse generative images. Nevertheless, the transition from freehand sketches to complex scene images remains challenging using diffusion models. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-07-10 Tianyu Zhang , Xiaoxuan Xie , Xusheng Du , Haoran Xie

Sketching provides an intuitive way to convey dynamic intent in animation authoring (i.e., how elements change over time and space), making it a natural medium for automatic content creation. Yet existing approaches often constrain sketches…

Human-Computer Interaction · Computer Science 2026-01-29 Boyu Li , Lin-Ping Yuan , Zeyu Wang , Hongbo Fu

One tough problem of image inpainting is to restore complex structures in the corrupted regions. It motivates interactive image inpainting which leverages additional hints, e.g., sketches, to assist the inpainting process. Sketch is simple…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Chang Liu , Shunxin Xu , Jialun Peng , Kaidong Zhang , Dong Liu

The image-to-image translation is a learning task to establish a visual mapping between an input and output image. The task has several variations differentiated based on the purpose of the translation, such as synthetic to real…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Pranjal Singh Rajput , Kanya Satis , Sonnya Dellarosa , Wenxuan Huang , Obinna Agba
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