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Learning to model and reconstruct humans in clothing is challenging due to articulation, non-rigid deformation, and varying clothing types and topologies. To enable learning, the choice of representation is the key. Recent work uses neural…

Computer Vision and Pattern Recognition · Computer Science 2021-04-16 Qianli Ma , Shunsuke Saito , Jinlong Yang , Siyu Tang , Michael J. Black

Building interactive simulators and scalable robot-learning environments requires a large number of articulated assets. However, most existing 3D assets in simulation are rigid, and manually converting them into articulated objects is…

Computer Vision and Pattern Recognition · Computer Science 2025-11-19 Yixuan Yang , Luyang Xie , Zhen Luo , Zixiang Zhao , Tongsheng Ding , Mingqi Gao , Feng Zheng

Combining human body models with differentiable rendering has recently enabled animatable avatars of clothed humans from sparse sets of multi-view RGB videos. While state-of-the-art approaches achieve realistic appearance with neural…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Shaofei Wang , Katja Schwarz , Andreas Geiger , Siyu Tang

We describe a method to extract persistent elements of a dynamic scene from an input video. We represent each scene element as a \emph{Deformable Sprite} consisting of three components: 1) a 2D texture image for the entire video, 2)…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Vickie Ye , Zhengqi Li , Richard Tucker , Angjoo Kanazawa , Noah Snavely

Skinning and rigging are fundamental components in animation, articulated object reconstruction, motion transfer, and 4D generation. Existing approaches predominantly rely on Linear Blend Skinning (LBS), due to its simplicity and…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Hao Zhang , Haolan Xu , Chun Feng , Varun Jampani , Narendra Ahuja

We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g. tiger, horse). By exploiting the recurring motion patterns of the class across videos, our system: 1)…

Computer Vision and Pattern Recognition · Computer Science 2016-08-12 Luca Del Pero , Susanna Ricco , Rahul Sukthankar , Vittorio Ferrari

Creating interactive digital environments for gaming, robotics, and simulation relies on articulated 3D objects whose functionality emerges from their part geometry and kinematic structure. However, existing approaches remain fundamentally…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Penghao Wang , Siyuan Xie , Hongyu Yan , Xianghui Yang , Jingwei Huang , Chunchao Guo , Jiayuan Gu

Assembling parts into an object is a combinatorial problem that arises in a variety of contexts in the real world and involves numerous applications in science and engineering. Previous related work tackles limited cases with identical unit…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Jinhwi Lee , Jungtaek Kim , Hyunsoo Chung , Jaesik Park , Minsu Cho

It is extremely challenging to create an animatable clothed human avatar from RGB videos, especially for loose clothes due to the difficulties in motion modeling. To address this problem, we introduce a novel representation on the basis of…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Zerong Zheng , Han Huang , Tao Yu , Hongwen Zhang , Yandong Guo , Yebin Liu

Vision-based pose estimation of articulated robots with unknown joint angles has applications in collaborative robotics and human-robot interaction tasks. Current frameworks use neural network encoders to extract image features and…

Robotics · Computer Science 2025-05-05 Raktim Gautam Goswami , Prashanth Krishnamurthy , Yann LeCun , Farshad Khorrami

This letter presents a novel approach to extract reliable dense and long-range motion trajectories of articulated human in a video sequence. Compared with existing approaches that emphasize temporal consistency of each tracked point, we…

Computer Vision and Pattern Recognition · Computer Science 2016-03-30 Yuanyuan Wu , Xiaohai He , Byeongkeun Kang , Haiying Song , Truong Q. Nguyen

Robots deployed in human-centric environments may need to manipulate a diverse range of articulated objects, such as doors, dishwashers, and cabinets. Articulated objects often come with unexpected articulation mechanisms that are…

Robotics · Computer Science 2023-01-19 Nick Heppert , Toki Migimatsu , Brent Yi , Claire Chen , Jeannette Bohg

High-quality, animatable 3D human avatar reconstruction from monocular videos offers significant potential for reducing reliance on complex hardware, making it highly practical for applications in game development, augmented reality, and…

Computer Vision and Pattern Recognition · Computer Science 2025-05-02 Xia Yuan , Hai Yuan , Wenyi Ge , Ying Fu , Xi Wu , Guanyu Xing

Reconstructing articulated objects into high-fidelity digital twins is crucial for applications such as robotic manipulation and interactive simulation. Recent self-supervised methods using differentiable rendering frameworks like 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Xuelu Li , Zhaonan Wang , Xiaogang Wang , Lei Wu , Manyi Li , Changhe Tu

Shape fabrication from developable parts is the basis for arts such as papercraft and needlework, as well as modern architecture and CAD in general, and it has inspired much research. We observe that the assembly of complex 3D shapes…

Computational Geometry · Computer Science 2017-11-08 Christian Schüller , Roi Poranne , Olga Sorkine-Hornung

We present SCULPT, a novel 3D generative model for clothed and textured 3D meshes of humans. Specifically, we devise a deep neural network that learns to represent the geometry and appearance distribution of clothed human bodies. Training…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Soubhik Sanyal , Partha Ghosh , Jinlong Yang , Michael J. Black , Justus Thies , Timo Bolkart

Robots working in human environments must be able to perceive and act on challenging objects with articulations, such as a pile of tools. Articulated objects increase the dimensionality of the pose estimation problem, and partial…

Robotics · Computer Science 2020-08-10 Jana Pavlasek , Stanley Lewis , Karthik Desingh , Odest Chadwicke Jenkins

Movie productions use high resolution 3d characters with complex proprietary rigs to create the highest quality images possible for large displays. Unfortunately, these 3d assets are typically not compatible with real-time graphics engines…

Graphics · Computer Science 2020-03-24 Dominik Borer , Lu Yuhang , Laura Wuelfroth , Jakob Buhmann , Martin Guay

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

Children's drawings have a wonderful inventiveness, creativity, and variety to them. We present a system that automatically animates children's drawings of the human figure, is robust to the variance inherent in these depictions, and is…

Computer Vision and Pattern Recognition · Computer Science 2023-04-05 Harrison Jesse Smith , Qingyuan Zheng , Yifei Li , Somya Jain , Jessica K. Hodgins