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Related papers: Growing and Evolving 3D Prints

200 papers

We present a method for fabricating general models with multi-directional 3D printing systems by printing different model regions along with different directions. The core of our method is a support-effective volume decomposition algorithm…

Robotics · Computer Science 2019-08-28 Chenming Wu , Chengkai Dai , Guoxin Fang , Yong-Jin Liu , Charlie C. L. Wang

A complete representation of 3D objects requires characterizing the space of deformations in an interpretable manner, from articulations of a single instance to changes in shape across categories. In this work, we improve on a prior…

Computer Vision and Pattern Recognition · Computer Science 2023-03-21 Tristan Aumentado-Armstrong , Stavros Tsogkas , Sven Dickinson , Allan Jepson

This work concerns a structural topology optimisation problem for 4D printing based on the phase field approach. The concept of 4D printing as a targeted evolution of 3D printed structures can be realised in a two-step process. One first…

Optimization and Control · Mathematics 2023-05-03 Harald Garcke , Kei Fong Lam , Robert Nürnberg , Andrea Signori

We present a significant breakthrough in 3D shape generation by scaling it to unprecedented dimensions. Through the adaptation of the Auto-Regressive model and the utilization of large language models, we have developed a remarkable model…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Yu Wang , Xuelin Qian , Jingyang Huo , Tiejun Huang , Bo Zhao , Yanwei Fu

Interactable objects are ubiquitous in our daily lives. Recent advances in 3D generative models make it possible to automate the modeling of these objects, benefiting a range of applications from 3D printing to the creation of robot…

Computer Vision and Pattern Recognition · Computer Science 2025-02-05 Rundong Luo , Haoran Geng , Congyue Deng , Puhao Li , Zan Wang , Baoxiong Jia , Leonidas Guibas , Siyuan Huang

Existing data-driven methods for garment animation, usually driven by linear skinning, although effective on tight garments, do not handle loose-fitting garments with complex deformations well. To address these limitations, we develop a…

Computer Vision and Pattern Recognition · Computer Science 2023-12-25 Yifu Liu , Xiaoxia Li , Zhiling Luo , Wei Zhou

We present the first image-based generative model of people in clothing for the full body. We sidestep the commonly used complex graphics rendering pipeline and the need for high-quality 3D scans of dressed people. Instead, we learn…

Computer Vision and Pattern Recognition · Computer Science 2017-08-01 Christoph Lassner , Gerard Pons-Moll , Peter V. Gehler

While progress in 2D generative models of human appearance has been rapid, many applications require 3D avatars that can be animated and rendered. Unfortunately, most existing methods for learning generative models of 3D humans with diverse…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Zijian Dong , Xu Chen , Jinlong Yang , Michael J. Black , Otmar Hilliges , Andreas Geiger

Vacuum-forming is a common manufacturing technique for constructing thin plastic shell products by pressing heated plastic sheets onto a mold using atmospheric pressure. Vacuum-forming is ubiquitous in packaging and casing products in…

Human-Computer Interaction · Computer Science 2022-05-10 Freddie Hong , Luca Tendera , Connor Myant , David Boyle

The 3D shape of a robot's end-effector plays a critical role in determining it's functionality and overall performance. Many industrial applications rely on task-specific gripper designs to ensure the system's robustness and accuracy.…

Robotics · Computer Science 2020-11-13 Huy Ha , Shubham Agrawal , Shuran Song

Facial expression generation is one of the most challenging and long-sought aspects of character animation, with many interesting applications. The challenging task, traditionally having relied heavily on digital craftspersons, remains yet…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 Kaifeng Zou , Sylvain Faisan , Boyang Yu , Sébastien Valette , Hyewon Seo

3D generative AI enables rapid and accessible creation of 3D models from text or image inputs. However, translating these outputs into physical objects remains a challenge due to the constraints in the physical world. Recent studies have…

Robotics · Computer Science 2025-09-03 Alexander Htet Kyaw , Se Hwan Jeon , Miana Smith , Neil Gershenfeld

While recent generative models for 2D images achieve impressive visual results, they clearly lack the ability to perform 3D reasoning. This heavily restricts the degree of control over generated objects as well as the possible applications…

Computer Vision and Pattern Recognition · Computer Science 2020-10-26 Dario Pavllo , Graham Spinks , Thomas Hofmann , Marie-Francine Moens , Aurelien Lucchi

The fabrication flexibility of 3D printing has sparked a lot of interest in designing structures with spatially graded material properties. In this paper, we propose a new type of density graded structure that is particularly designed for…

Computational Geometry · Computer Science 2019-06-10 Tim Kuipers , Jun Wu , Charlie C. L. Wang

We present a data-driven method for learning to generate animations of 3D garments using a 2D image diffusion model. In contrast to existing methods, typically based on fully connected networks, graph neural networks, or generative…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Raquel Vidaurre , Elena Garces , Dan Casas

Recent advances in deep learning have significantly transformed the field of 3D shape generation, enabling the synthesis of complex, diverse, and semantically meaningful 3D objects. This survey provides a comprehensive overview of the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Nicolas Caytuiro , Ivan Sipiran

3D objects (artefacts) are made to fulfill functions. Designing an object often starts with defining a list of functionalities that it should provide, also known as functional requirements. Today, the design of 3D object models is still a…

Artificial Intelligence · Computer Science 2018-10-18 Mihai Andries , Atabak Dehban , José Santos-Victor

The main difference between 3D and 4D printed structures is one extra dimension that is smart evolution over time. However, currently, there is no general formula to model and predict this extra dimension. Here, by starting from fundamental…

Applied Physics · Physics 2018-10-25 Farhang Momeni , Jun Ni

Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery, and household automation. However, developing grasp…

We show how to convert models of complex systems such as 2D cellular automata into a 3D printed object. Our method takes into account the limitations inherent to 3D printing processes and materials. Our approach automates the greater part…

Physics Education · Physics 2014-12-30 D. S. Reiss , J. J. Price , T. S. Evans