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Markerless estimation of 3D Kinematics has the great potential to clinically diagnose and monitor movement disorders without referrals to expensive motion capture labs; however, current approaches are limited by performing multiple…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Marian Bittner , Wei-Tse Yang , Xucong Zhang , Ajay Seth , Jan van Gemert , Frans C. T. van der Helm

This article proposes a data-driven methodology to achieve a fast design support, in order to generate or develop novel designs covering multiple object categories. This methodology implements two state-of-the-art Variational Autoencoder…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Zhangsihao Yang , Haoliang Jiang , Zou Lan

In recent years, the recognition of free-hand sketches has remained a popular task. However, in some special fields such as the military field, free-hand sketches are difficult to sample on a large scale. Common data augmentation and image…

Computer Vision and Pattern Recognition · Computer Science 2024-01-11 Jiajun Liu , Siyuan Wang , Guangming Zhu , Liang Zhang , Ning Li , Eryang Gao

Deep image-based modeling received lots of attention in recent years, yet the parallel problem of sketch-based modeling has only been briefly studied, often as a potential application. In this work, for the first time, we identify the main…

Computer Vision and Pattern Recognition · Computer Science 2021-04-27 Yue Zhong , Yulia Gryaditskaya , Honggang Zhang , Yi-Zhe Song

CAD model retrieval to real-world scene observations has shown strong promise as a basis for 3D perception of objects and a clean, lightweight mesh-based scene representation; however, current approaches to retrieve CAD models to a query…

Computer Vision and Pattern Recognition · Computer Science 2022-03-25 Tim Beyer , Angela Dai

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

Sketching is inherently a sequential process, in which strokes are drawn in a meaningful order to explore and refine ideas. However, most generative models treat sketches as static images, overlooking the temporal structure that underlies…

Computer Vision and Pattern Recognition · Computer Science 2026-02-18 Hui Ren , Yuval Alaluf , Omer Bar Tal , Alexander Schwing , Antonio Torralba , Yael Vinker

Sketch-based 3D reconstruction remains a challenging task due to the abstract and sparse nature of sketch inputs, which often lack sufficient semantic and geometric information. To address this, we propose Sketch2Symm, a two-stage…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Yan Zhou , Mingji Li , Xiantao Zeng , Jie Lin , Yuexia Zhou

A sketch based 3D shape retrieval

Computer Vision and Pattern Recognition · Computer Science 2019-03-14 Yinjie Lei , Ziqin Zhou , Pingping Zhang , Yulan Guo , Zijun Ma , Lingqiao Liu

Sketching is used as a ubiquitous tool of expression by novices and experts alike. In this thesis I explore two methods that help a system provide a geometric machine-understanding of sketches, and in-turn help a user accomplish a…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Raghav Brahmadesam Venkataramaiyer

Recently, there have been several promising methods to generate realistic imagery from deep convolutional networks. These methods sidestep the traditional computer graphics rendering pipeline and instead generate imagery at the pixel level…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Patsorn Sangkloy , Jingwan Lu , Chen Fang , Fisher Yu , James Hays

Imagine a child sketching the Eiffel Tower and asking a robot to bring it to life. Today's robot manipulation systems can't act on such sketches directly-they require precise 3D block poses as goals, which in turn demand structural analysis…

Artificial Intelligence · Computer Science 2025-08-05 Yiqing Xu , Linfeng Li , Cunjun Yu , David Hsu

For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these two objectives present significant challenges to the current…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Michelle Guo , Mia Tang , Hannah Cha , Ruohan Zhang , C. Karen Liu , Jiajun Wu

Drawing tools for Virtual Reality (VR) enable users to model 3D designs from within the virtual environment itself. These tools employ sketching and sculpting techniques known from desktop-based interfaces and apply them to hand-based…

Human-Computer Interaction · Computer Science 2019-11-06 Daniele Giunchi , Stuart james , Donald Degraen , Anthony Steed

Animation of 2D hand-drawn sketches provides an effective medium for visual communication. However, these sketches pose challenges, particularly in handling occlusions and accurately mapping motion. While 3D animation naturally addresses…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Gaurav Rai , Ojaswa Sharma

Modern 3D generation methods can rapidly create shapes from sparse or single views, but their outputs often lack geometric detail due to computational constraints. We present DetailGen3D, a generative approach specifically designed to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Ken Deng , Yuan-Chen Guo , Jingxiang Sun , Zi-Xin Zou , Yangguang Li , Xin Cai , Yan-Pei Cao , Yebin Liu , Ding Liang

Online 3D scene perception in real time is essential for robotics, AR/VR, and autonomous systems, particularly in edge computing scenarios where computational resources are limited and privacy is crucial. Recent state-of-the-art methods…

Computer Vision and Pattern Recognition · Computer Science 2026-05-29 Qin Liu , Lavisha Aggarwal , Saptarashmi Bandyopadhyay , Vikas Bahirwani , Marc Niethammer , Ehsan Adeli , Andrea Colaco

We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability. By synergizing the strengths of an off-the-shelf…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Jiale Xu , Weihao Cheng , Yiming Gao , Xintao Wang , Shenghua Gao , Ying Shan

With the recent surge in the use of touchscreen devices, free-hand sketching has emerged as a promising modality for human-computer interaction. While previous research has focused on tasks such as recognition, retrieval, and generation of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Guangming Zhu , Siyuan Wang , Qing Cheng , Kelong Wu , Hao Li , Liang Zhang

Based on recent advanced diffusion models, Text-to-image (T2I) generation models have demonstrated their capabilities to generate diverse and high-quality images. However, leveraging their potential for real-world content creation,…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Sandra Zhang Ding , Jiafeng Mao , Kiyoharu Aizawa
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