Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

872
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
872
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

798
Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a...
798
Cartesian Form for Vector Formulation01:26

Cartesian Form for Vector Formulation

766
The Cartesian form for vector formulation is a process to calculate  the moment of force using the position and force vectors. The moment of force is defined as the cross-product of these vectors, making it a vector quantity. The Cartesian form of the position and force vectors involves unit vectors, which can be used to express the cross-product in determinant form.
766
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.3K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.3K
Centroid for the Paraboloid of Revolution01:16

Centroid for the Paraboloid of Revolution

650
The paraboloid of revolution is an axially symmetric surface generated by rotating a parabola around its axis. This shape has several applications in mechanical engineering due to its advantageous structural properties, such as strength against stress concentration points and rotational symmetry.
The centroid for the paraboloid of revolution is the point where all the mass of the paraboloid is concentrated. This centroid is important for engineering applications, as it determines how forces are...
650
Forced Transdifferentiation01:28

Forced Transdifferentiation

2.0K
Transdifferentiation, also known as lineage reprogramming, was first discovered by Selman and Kafatos in 1974 in silkmoths. They observed that the moths’ cuticle-producing cells transformed into salt-producing cells. Many such cases of natural transdifferentiation occur in organisms. In humans, pancreatic alpha cells can become beta cells. In newts, the loss of the eye’s lens causes the pigmented epithelial cells to transdifferentiate into the lens cells.
Artificial...
2.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition.

IEEE transactions on visualization and computer graphics·2025
Same author

TGSL: Trade-off graph structure learning via multifaceted graph information bottleneck.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

When an extra rejection class meets out-of-distribution detection in long-tailed image classification.

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Are transformer-based models more robust than CNN-based models?

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Collaborative Completion and Segmentation for Partial Point Clouds With Outliers.

IEEE transactions on visualization and computer graphics·2023
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
Same journal

Spatial-temporal Relation guided Motion Transfer via Diffusion Model.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Sep 17, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.2K

Parameterize Structure With Differentiable Template for 3D Shape Generation.

Changfeng Ma, Pengxiao Guo, Shuangyu Yang

    IEEE Transactions on Visualization and Computer Graphics
    |June 27, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for 3D shape generation using a differentiable template and fixed-length parameters. This approach simplifies 3D shape reconstruction and generation, capturing intricate details effectively.

    More Related Videos

    Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
    08:32

    Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

    Published on: October 20, 2023

    3.0K
    Author Spotlight: Development of a Scaffold-Free Acoustic Assembly Method for High-Quality 3D Cell Spheroid Culture
    05:17

    Author Spotlight: Development of a Scaffold-Free Acoustic Assembly Method for High-Quality 3D Cell Spheroid Culture

    Published on: October 13, 2023

    1.3K

    Related Experiment Videos

    Last Updated: Sep 17, 2025

    Three-Dimensional Shape Modeling and Analysis of Brain Structures
    05:33

    Three-Dimensional Shape Modeling and Analysis of Brain Structures

    Published on: November 14, 2019

    7.2K
    Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models
    08:32

    Author Spotlight: Enhancing Skin Model Diversity with Cost-Effective 3D Cellular Models

    Published on: October 20, 2023

    3.0K
    Author Spotlight: Development of a Scaffold-Free Acoustic Assembly Method for High-Quality 3D Cell Spheroid Culture
    05:17

    Author Spotlight: Development of a Scaffold-Free Acoustic Assembly Method for High-Quality 3D Cell Spheroid Culture

    Published on: October 13, 2023

    1.3K

    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Geometric Modeling

    Background:

    • Current 3D shape generation methods often rely on complex networks and hierarchical annotations.
    • These methods may overlook fine-grained details within object parts.
    • A need exists for simpler, more effective structural representations for 3D shape generation.

    Purpose of the Study:

    • To propose a novel method for structural representation in 3D shape generation.
    • To enable reconstruction and generation of editable 3D shapes with detailed part semantics.
    • To develop a simplified yet effective approach for learning the latent space of 3D shapes.

    Main Methods:

    • Parameterizing shared structures within categories using a differentiable template and fixed-length parameters.
    • Calculating cuboids from parameters to define concrete shapes.
    • Utilizing three-view rendering boundaries of cuboids to capture internal details.
    • Representing shapes with parameters and three-view details for Surface of Distance Function (SDF) calculation.

    Main Results:

    • Developed simple and effective networks for 3D shape reconstruction and generation.
    • Successfully reconstructed diverse shapes from point clouds with complex details.
    • Generated novel 3D shapes with smooth interpolation capabilities.
    • Demonstrated superior performance in reconstruction, generation, and interpolation tasks.

    Conclusions:

    • The proposed method offers a simplified and effective approach to 3D shape representation.
    • It enables the generation and reconstruction of detailed and editable 3D shapes.
    • The technique shows significant advantages over existing methods in various 3D shape manipulation tasks.