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Related papers: Sketch2Arti: Sketch-based Articulation Modeling of…

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We propose ArtiLatent, a generative framework that synthesizes human-made 3D objects with fine-grained geometry, accurate articulation, and realistic appearance. Our approach jointly models part geometry and articulation dynamics by…

Computer Vision and Pattern Recognition · Computer Science 2025-10-27 Honghua Chen , Yushi Lan , Yongwei Chen , Xingang Pan

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

Understanding the stroke-based evolution of visual artworks is useful for advancing artwork learning, appreciation, and interactive display. While the stroke sequence of renowned artworks remains largely unknown, formulating this sequence…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Jeripothula Prudviraj , Vikram Jamwal

We introduce SketcherX, a novel robotic system for personalized portrait drawing through interactive human-robot engagement. Unlike traditional robotic art systems that rely on analog printing techniques, SketcherX captures and processes…

Robotics · Computer Science 2024-09-25 Jookyung Song , Mookyoung Kang , Nojun Kwak

We present ArtMesh, a mesh-native method for reconstructing articulated objects explicitly as connected triangle meshes with per-part rigid motion from multi-view images in start and end states. Existing 3D Gaussian Splatting pipelines for…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Sylvia Yuan , Dan Wang , Ravi Ramamoorthi , Xinrui Cui

Representing articulated objects remains a difficult problem within the field of robotics. Objects such as pliers, clamps, or cabinets require representations that capture not only geometry and color information, but also part seperation,…

Robotics · Computer Science 2025-06-17 Stanley Lewis , Vishal Chandra , Tom Gao , Odest Chadwicke Jenkins

Articulated objects are essential for embodied AI and world models, yet inferring their kinematics from a single closed-state image remains challenging because crucial motion cues are often occluded. Existing methods either require…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Hang Zhang , Qijian Tian , Jingyu Gong , Daoguo Dong , Xuhong Wang , Yuan Xie , Xin Tan

Computer-Aided Design (CAD) applications are used in manufacturing to model everything from coffee mugs to sports cars. These programs are complex and require years of training and experience to master. A component of all CAD models…

Computer Vision and Pattern Recognition · Computer Science 2021-05-07 Yaroslav Ganin , Sergey Bartunov , Yujia Li , Ethan Keller , Stefano Saliceti

Sketch-based image manipulation is an interactive image editing task to modify an image based on input sketches from users. Existing methods typically formulate this task as a conditional inpainting problem, which requires users to draw an…

Computer Vision and Pattern Recognition · Computer Science 2021-12-01 Yu Zeng , Zhe Lin , Vishal M. Patel

The increasing demand for augmented reality and robotics is driving the need for articulated object reconstruction with high scalability. However, existing settings for reconstructing from discrete articulation states or casual monocular…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Hang Dai , Hongwei Fan , Han Zhang , Duojin Wu , Jiyao Zhang , Hao Dong

Reconstructing real-world objects and estimating their movable joint structures are pivotal technologies within the field of robotics. Previous research has predominantly focused on supervised approaches, relying on extensively annotated…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Haowen Wang , Zhen Zhao , Zhao Jin , Zhengping Che , Liang Qiao , Yakun Huang , Zhipeng Fan , Xiuquan Qiao , Jian Tang

Sketch-based modeling strives to bring the ease and immediacy of drawing to the 3D world. However, while drawings are easy for humans to create, they are very challenging for computers to interpret due to their sparsity and ambiguity. We…

Graphics · Computer Science 2018-06-20 Johanna Delanoy , Mathieu Aubry , Phillip Isola , Alexei A. Efros , Adrien Bousseau

Creating custom artifacts with computer numerical control (CNC) milling machines typically requires mastery of complex computer-aided design (CAD) software. To eliminate this user barrier, we introduced Draw2Cut, a novel system that allows…

Human-Computer Interaction · Computer Science 2025-04-29 Xinyue Gui , Ding Xia , Wang Gao , Mustafa Doga Dogan , Maria Larsson , Takeo Igarashi

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

Accurately manipulating articulated objects is a challenging yet important task for real robot applications. In this paper, we present a novel framework called Sim2Real$^2$ to enable the robot to manipulate an unseen articulated object to…

Robotics · Computer Science 2023-02-22 Liqian Ma , Jiaojiao Meng , Shuntao Liu , Weihang Chen , Jing Xu , Rui Chen

Building articulated objects is a key challenge in computer vision. Existing methods often fail to effectively integrate information across different object states, limiting the accuracy of part-mesh reconstruction and part dynamics…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Yu Liu , Baoxiong Jia , Ruijie Lu , Junfeng Ni , Song-Chun Zhu , Siyuan Huang

Freehand sketching is a dynamic process where points are sequentially sampled and grouped as strokes for sketch acquisition on electronic devices. To recognize a sketched object, most existing methods discard such important temporal…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Lei Li , Changqing Zou , Youyi Zheng , Qingkun Su , Hongbo Fu , Chiew-Lan Tai

Reconstructing 3D human shapes from 2D images has received increasing attention recently due to its fundamental support for many high-level 3D applications. Compared with natural images, freehand sketches are much more flexible to depict…

Computer Vision and Pattern Recognition · Computer Science 2023-10-11 Fei Wang , Kongzhang Tang , Hefeng Wu , Baoquan Zhao , Hao Cai , Teng Zhou

Articulated objects are commonly found in daily life. It is essential that robots can exhibit robust perception and manipulation skills for articulated objects in real-world robotic applications. However, existing methods for articulated…

Robotics · Computer Science 2024-10-01 Junbo Wang , Wenhai Liu , Qiaojun Yu , Yang You , Liu Liu , Weiming Wang , Cewu Lu

Recent advancements in robotics have underscored the need for effective collaboration between humans and robots. Traditional interfaces often struggle to balance robot autonomy with human oversight, limiting their practical application in…

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