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

Muscles for Facial Expressions01:14

Muscles for Facial Expressions

2.1K
The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
2.1K
Morphogenesis02:19

Morphogenesis

28.2K
Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
28.2K
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

7.9K
A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
7.9K
Geometric Mean01:15

Geometric Mean

3.4K
The mean is a measure of the central tendency of a data set. In some data sets, the data is inherently multiplicative, and the arithmetic mean is not useful. For example, the human population multiplies with time, and so does the credit amount of financial investment, as the interest compounds over successive time intervals.
In cases of multiplicative data, the geometric mean is used for statistical analysis. First, the product of all the elements is taken. Then, if there are n elements in the...
3.4K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.2K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
12.2K
Gauss's Law: Cylindrical Symmetry01:20

Gauss's Law: Cylindrical Symmetry

7.6K
A charge distribution has cylindrical symmetry if the charge density depends only upon the distance from the axis of the cylinder and does not vary along the axis or with the direction about the axis. In other words, if a system varies if it is rotated around the axis or shifted along the axis, it does not have cylindrical symmetry. In real systems, we do not have infinite cylinders; however, if the cylindrical object is considerably longer than the radius from it that we are interested in,...
7.6K

You might also read

Related Articles

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

Sort by
Same author

Polarity-Selective Assembly Enables Tough and Stretchable Ionogels for Wearable Electronics.

ACS nano·2026
Same author

Novel Mechanism of and Therapeutic Approach for Anthracycline-Induced Cardiotoxicity.

Cancer research communications·2026
Same author

GANG: Geometrically-Aligned Neural Gaussians for Efficient and Realistic Relighting.

IEEE transactions on visualization and computer graphics·2026
Same author

Exploring the effects of fermented Chinese herbal medicine on growth, cecal microbiota, metabolism, and muscle flavor-related compounds in fattening pigs.

Frontiers in microbiology·2026
Same author

Comprehensive nutritional metabolomics and transcriptomics reveal varietal differences and drying effects on health-related metabolites in Amomum tsao-ko, a traditional medicinal and culinary plant.

Food research international (Ottawa, Ont.)·2026
Same author

Modification of Heterogeneous Catalyst Support with Hydrogen Peroxide and Its Application in the Degradation of Methylene Blue Wastewater.

ACS omega·2026
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

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

Related Experiment Video

Updated: Jul 6, 2025

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
06:53

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

Published on: March 1, 2017

13.3K

Text2Face: Text-Based Face Generation With Geometry and Appearance Control.

Zhaoyang Zhang, Junliang Chen, Hongbo Fu

    IEEE Transactions on Visualization and Computer Graphics
    |January 2, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel framework using graph neural networks to reduce ambiguity in text-to-face generation. The method effectively creates high-quality, attribute-conditioned facial images from textual descriptions.

    More Related Videos

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
    09:49

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

    Published on: December 24, 2015

    14.2K
    Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
    06:20

    Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

    Published on: December 6, 2024

    2.8K

    Related Experiment Videos

    Last Updated: Jul 6, 2025

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
    06:53

    Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation

    Published on: March 1, 2017

    13.3K
    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
    09:49

    Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm

    Published on: December 24, 2015

    14.2K
    Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training
    06:20

    Author Spotlight: Development of an Automated Camera-Based System for Real-Time Blast Overpressure Monitoring and TBI Risk Assessment in Military Training

    Published on: December 6, 2024

    2.8K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Text-based human face generation aims to bridge the semantic gap between text and visuals.
    • Existing methods face ambiguities due to the many-to-many mapping between text and facial images.
    • Facial part attributes (geometry and appearance) exhibit inter-dependencies not conforming to uniform distributions.

    Purpose of the Study:

    • To develop a robust framework for text-to-face generation that mitigates ambiguities.
    • To model the inter-dependency among facial parts for more accurate image synthesis.
    • To generate high-quality, attribute-conditioned facial images from text descriptions.

    Main Methods:

    • Introduced a local-to-global framework incorporating two graph neural networks (GNNs).
    • One GNN models facial geometry, while the other models facial appearance.
    • Leveraged dataset distribution learning and partial description recommendations for improved text-to-face mapping.

    Main Results:

    • The proposed framework effectively models inter-dependencies among facial components.
    • Generated high-quality attribute-conditioned facial images from text inputs.
    • Demonstrated superior performance and usability compared to existing text-to-face generation methods.

    Conclusions:

    • The local-to-global framework with embedded GNNs successfully addresses ambiguities in text-to-face generation.
    • The method's ability to learn from data distributions enhances facial image synthesis.
    • This approach offers a significant advancement in generating realistic facial images from textual prompts.