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A sketch is one of the most intuitive and versatile tools humans use to convey their ideas visually. An animated sketch opens another dimension to the expression of ideas and is widely used by designers for a variety of purposes. Animating…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Rinon Gal , Yael Vinker , Yuval Alaluf , Amit H. Bermano , Daniel Cohen-Or , Ariel Shamir , Gal Chechik

Generative modeling of anatomical structures plays a crucial role in virtual imaging trials, which allow researchers to perform studies without the costs and constraints inherent to in vivo and phantom studies. For clinical relevance,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Bram de Wilde , Max T. Rietberg , Guillaume Lajoinie , Jelmer M. Wolterink

In this work, we propose and validate a framework to leverage language-image pretraining representations for training-free zero-shot sketch-to-image synthesis. We show that disentangled content and style representations can be utilized to…

Computer Vision and Pattern Recognition · Computer Science 2022-06-06 Jan Zuiderveld

Stroke fragmentation is one of the key steps in pen-based interaction. In this letter, we present a unified HMM-based stroke fragmentation technique that can do segment point location and primitive type determination simultaneously. The…

Human-Computer Interaction · Computer Science 2008-12-05 Guihuan Feng , Christian Viard-Gaudin

Sketching is a powerful artistic technique for capturing essential visual information about real-world objects and has increasingly attracted attention in image synthesis research. However, the field lacks a unified benchmark to evaluate…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Xingyue Lin , Xingjian Hu , Shuai Peng , Jianhua Zhu , Liangcai Gao

Generating images from human sketches typically requires dedicated networks trained from scratch. In contrast, the emergence of the pre-trained Vision-Language models (e.g., CLIP) has propelled generative applications based on controlling…

Computer Vision and Pattern Recognition · Computer Science 2023-10-31 Shaocong Zhang

Generating coherent and useful image/video scenes from a free-form textual description is technically a very difficult problem to handle. Textual description of the same scene can vary greatly from person to person, or sometimes even for…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Faria Huq , Nafees Ahmed , Anindya Iqbal

Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this paper turns it into a photorealistic image - just like those shown in Fig. 1(a), all non-cherry-picked. We differ significantly from prior art in…

Computer Vision and Pattern Recognition · Computer Science 2023-03-31 Subhadeep Koley , Ayan Kumar Bhunia , Aneeshan Sain , Pinaki Nath Chowdhury , Tao Xiang , Yi-Zhe Song

Humans effortlessly grasp the connection between sketches and real-world objects, even when these sketches are far from realistic. Moreover, human sketch understanding goes beyond categorization -- critically, it also entails understanding…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Xuanchen Lu , Xiaolong Wang , Judith E Fan

We present a mechanism to compute a sketch (succinct summary) of how a complex modular deep network processes its inputs. The sketch summarizes essential information about the inputs and outputs of the network and can be used to quickly…

Machine Learning · Computer Science 2019-08-08 Badih Ghazi , Rina Panigrahy , Joshua R. Wang

The thesis presents the subject of synthetic topology, especially with relation to metric spaces. A model of synthetic topology is a categorical model in which objects possess an intrinsic topology in a suitable sense, and all morphisms are…

General Topology · Mathematics 2021-04-22 Davorin Lešnik

Sketch drawings capture the salient information of visual concepts. Previous work has shown that neural networks are capable of producing sketches of natural objects drawn from a small number of classes. While earlier approaches focus on…

Computer Vision and Pattern Recognition · Computer Science 2021-06-24 Alexander Wang , Mengye Ren , Richard S. Zemel

We revisit human motion synthesis, a task useful in various real world applications, in this paper. Whereas a number of methods have been developed previously for this task, they are often limited in two aspects: focusing on the poses while…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Jingbo Wang , Sijie Yan , Bo Dai , Dahua LIn

We present an approach to synthesizing new graph structures from empirically specified distributions. The generative model is an auto-decoder that learns to synthesize graphs from latent codes. The graph synthesis model is learned jointly…

Machine Learning · Computer Science 2020-06-05 Sohil Atul Shah , Vladlen Koltun

Efficiently generating a freestyle 3D portrait with high quality and 3D-consistency is a promising yet challenging task. The portrait styles generated by most existing methods are usually restricted by their 3D generators, which are learned…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Tianxiang Ma , Kang Zhao , Jianxin Sun , Yingya Zhang , Jing Dong

Significant strides have been made toward designing better generative models in recent years. Despite this progress, however, state-of-the-art approaches are still largely unable to capture complex global structure in data. For example,…

Machine Learning · Computer Science 2019-01-25 Halley Young , Osbert Bastani , Mayur Naik

Recognizing freehand sketches with high arbitrariness is greatly challenging. Most existing methods either ignore the geometric characteristics or treat sketches as handwritten characters with fixed structural ordering. Consequently, they…

Computer Vision and Pattern Recognition · Computer Science 2017-08-10 Qi Jia , Meiyu Yu , Xin Fan , Haojie Li

Painting embodies a unique form of visual storytelling, where the creation process is as significant as the final artwork. Although recent advances in generative models have enabled visually compelling painting synthesis, most existing…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Ying Jiang , Jiayin Lu , Yunuo Chen , Yumeng He , Kui Wu , Yin Yang , Chenfanfu Jiang

Sketch-guided image editing aims to achieve local fine-tuning of the image based on the sketch information provided by the user, while maintaining the original status of the unedited areas. Due to the high cost of acquiring human sketches,…

Computer Vision and Pattern Recognition · Computer Science 2023-11-15 Weihang Mao , Bo Han , Zihao Wang

We consider the problem of modelling noisy but highly symmetric shapes that can be viewed as hierarchies of whole-part relationships in which higher level objects are composed of transformed collections of lower level objects. To this end,…

Artificial Intelligence · Computer Science 2015-06-10 Diana Borsa , Thore Graepel , Andrew Gordon