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

Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

9.4K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
9.4K
Structural Classification of Joints01:20

Structural Classification of Joints

8.0K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
8.0K
Introduction to Structures01:30

Introduction to Structures

2.5K
A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
2.5K
Block Diagram Reduction01:22

Block Diagram Reduction

727
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
727
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.8K
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...
1.8K
Levels of Use of a GIS01:29

Levels of Use of a GIS

511
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
511

You might also read

Related Articles

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

Sort by
Same author

Genome-wide identification of scavenger receptor family genes in Octopus sinensis and their immune response to PGN, poly I:C, and Vibrio parahaemolyticus.

Fish & shellfish immunology·2025
Same author

Integrating Ultrahigh-Performance Liquid Chromatography-Mass Spectrometry and Network Pharmacology: Systematic Identification and Quantification of Bioactive Components in Erdong-Yangxin Oral Liquid, An Antidepressant Herbal Formulation.

Journal of separation science·2025
Same author

Injectable Calcium Phosphate Nanocomposite: Balancing Mechanical Support and Osseointegration for Enhanced Spinal Screw Fixation in an Osteoporosis Sheep Model.

Biomaterials·2025
Same author

Age-stratified selection of albumin-based inflammatory ratios: a novel strategy for optimizing risk prediction of severe pneumonia in children.

Frontiers in pediatrics·2025
Same author

Serum uric acid to albumin ratio and C-reactive protein as predictive biomarkers for chronic total occlusion and coronary collateral circulation quality.

Open medicine (Warsaw, Poland)·2025
Same author

Molecular Bonding Engineering Enables Ultra-Stable Electrochromic Energy Storage in Flexible PEDOT Devices.

Advanced materials (Deerfield Beach, Fla.)·2025
Same journal

Relation DETR+: Exploring Explicit Position Relation Prior for Dense Prediction.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

RBF++: Quantifying and Optimizing Reasoning Boundaries across Measurable and Unmeasurable Capabilities for Chain-of-Thought Reasoning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Learning Shape Anchors for Holistic Indoor Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

Related Experiment Video

Updated: May 2, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

11.8K

Structure-Guided Image Completion With Image-Level and Object-Level Semantic Discriminators.

Haitian Zheng, Zhe Lin, Jingwan Lu

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |April 26, 2024
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new image completion method using semantic and object-level discriminators to generate realistic scenes. The approach enhances object realism and achieves state-of-the-art results in various image editing tasks.

    More Related Videos

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.7K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    524

    Related Experiment Videos

    Last Updated: May 2, 2026

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    11.8K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.7K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    524

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Structure-guided image completion enables interactive image editing but struggles with realistic object generation in complex scenes.
    • Existing methods lack semantic constraints and mechanisms for enforcing object realism within inpainted regions.

    Purpose of the Study:

    • To improve the realism of generated objects and semantics in structure-guided image completion.
    • To develop a novel learning paradigm addressing limitations in current image inpainting techniques.

    Main Methods:

    • Proposed a learning paradigm incorporating semantic discriminators and object-level discriminators.
    • Semantic discriminators utilize pretrained visual features for concept realism.
    • Object-level discriminators enforce individual object realism using aligned instances.

    Main Results:

    • Significantly improved generation quality in complex natural scenes.
    • Achieved state-of-the-art results on segmentation-guided, edge-guided, and panoptically-guided completion tasks on Places2.
    • Demonstrated flexibility for object insertion, replacement, removal, and standard inpainting.

    Conclusions:

    • The proposed method effectively enhances the realism of generated content in image completion.
    • The approach offers a flexible and powerful tool for diverse image editing applications.
    • Achieved state-of-the-art performance on standard inpainting when combined with an automatic pipeline.