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

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Sensory Modalities01:15

Sensory Modalities

Sensation typically is the process by which the sensory receptors and sense organs detect stimuli from the internal and external environment and transmit this information to the central nervous system for processing.
General senses refer to the broad category of sensory information detected by receptors in the body and can be further grouped into somatic and visceral senses. Somatic sensations include touch, pressure, temperature, and pain and are essential for navigating our environment and...
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Information Processing Approach01:30

Information Processing Approach

The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is also...

You might also read

Related Articles

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

Sort by
Same author

Meta-lens-based circularly polarized fixed-beam antenna for high-gain wideband millimeter-wave applications.

Scientific reports·2026
Same author

Wafer-scale uniform non-ferroelectric Îş-phase In<sub>2</sub>Se<sub>3</sub> transistors.

Nature communications·2026
Same author

LADNET: An MRI-based deep learning approach for Alzheimer's disease detection.

Computers in biology and medicine·2026
Same author

Electromagnetic Performance Characterization and Circuit-Level Modeling of a Miniaturized Meander-Line Antenna for Implantable and Wearable RFID Applications.

Sensors (Basel, Switzerland)·2026
Same author

MiR-18a-5p Attenuates Oxidative Stress and Inhibits Lipid Accumulation in Alcoholic Fatty Liver by Activating the CYP1A1-PPAR Axis.

Immunity, inflammation and disease·2026
Same author

Expanding the Toolbox of Carbohydrate Recognizing Moieties: Demonstrating the Interaction of Carbohydrates with Surface-Immobilized RB221 and Translating It into a Tapered Optical Fiber Cavity Ring-Down Sensor.

Langmuir : the ACS journal of surfaces and colloids·2026

Related Experiment Video

Updated: Jul 3, 2026

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

15.8K

A Review of Multi-Modal Learning from the Text-Guided Visual Processing Viewpoint.

Ubaid Ullah1, Jeong-Sik Lee1, Chang-Hyeon An1

  • 1Intelligent Computer Vision Software Laboratory (ICVSLab), Department of Electronic Engineering, Yeungnam University, 280 Daehak-Ro, Gyeongsan 38541, Gyeongbuk, Korea.

Sensors (Basel, Switzerland)
|September 23, 2022
PubMed
Summary

This review explores text-guided visual output (T2Vo), expanding beyond text-to-image synthesis. It proposes a new taxonomy to identify research gaps and guide future advancements in multimodal AI.

Keywords:
Text-to-ImageText-to-Visualcomputer visionneural networks

More Related Videos

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.1K
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

531

Related Experiment Videos

Last Updated: Jul 3, 2026

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

15.8K
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
09:27

Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language

Published on: October 13, 2018

10.1K
Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

531

Area of Science:

  • Artificial Intelligence
  • Computer Vision
  • Machine Learning

Background:

  • Cross-domain data correlation, particularly between text and visual data, is crucial for advancing machine capabilities.
  • Neural networks have shown significant promise in processing diverse data types, including natural language with images and videos.
  • Current research often focuses on Generative Adversarial Networks (GANs) for text-to-image synthesis, potentially limiting the field's scope.

Purpose of the Study:

  • To provide a comprehensive review of text-guided visual output (T2Vo) beyond traditional text-to-image synthesis.
  • To propose a novel taxonomy for categorizing T2Vo methods and identify existing research gaps.
  • To analyze state-of-the-art models and suggest future research directions in multimodal AI.

Main Methods:

  • Systematic literature review of top-tier computer vision and related fields (machine learning, human-computer interaction).
  • Critical examination and comparative analysis of existing text-guided visual output models.
  • Development of a comprehensive taxonomy for categorizing T2Vo approaches.

Main Results:

  • Identified limitations in current research, particularly the over-reliance on GANs for text-to-image synthesis.
  • Proposed a broader categorization of text-guided visual output, encompassing diverse visual modalities.
  • Highlighted shortcomings of existing methods and provided a structured overview of the field.

Conclusions:

  • The field of text-guided visual output requires a more comprehensive framework beyond current text-to-image synthesis limitations.
  • A proposed taxonomy can better guide future research and development in multimodal AI.
  • Further investigation into diverse generative models and visual outputs is essential for advancing the field.