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

Upsampling01:22

Upsampling

344
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
344
Downsampling01:20

Downsampling

289
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
289
Reducing Line Loss01:18

Reducing Line Loss

212
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
212

You might also read

Related Articles

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

Sort by
Same author

Using functional magnetic resonance imaging to evaluate an acute allograft rejection model in rats.

Magnetic resonance imaging·2019
Same author

QsvR integrates into quorum sensing circuit to control Vibrio parahaemolyticus virulence.

Environmental microbiology·2019
Same author

mi R -15a/15b Cluster Modulates Survival of Mesenchymal Stem Cells to Improve Its Therapeutic Efficacy of Myocardial Infarction.

Journal of the American Heart Association·2019
Same author

Retrospective analysis of Clostridium difficile infection in patients with ulcerative colitis in a tertiary hospital in China.

BMC gastroenterology·2019
Same author

CCCH-type zinc finger antiviral protein is specifically overexpressed in spleen in response to subgroup J avian leukosis virus infection in chicken.

Research in veterinary science·2018
Same author

Mapping Twisted Light into and out of a Photonic Chip.

Physical review letters·2018
Same journal

A Unified and Fast-Sampling Diffusion Bridge Framework via Stochastic Optimal Control.

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

Robust 3D Semantic Occupancy Prediction With Calibration-Free Spatial Transformation.

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

Image Restoration via Multi-domain Learning.

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

A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions.

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

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

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

Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation.

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

Related Experiment Video

Updated: Oct 1, 2025

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

538

Local and Global GANs With Semantic-Aware Upsampling for Image Generation.

Hao Tang, Ling Shao, Philip H S Torr

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 9, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method for semantic-guided image generation, improving the creation of small objects and detailed textures by using local context. The approach achieves state-of-the-art results in image generation tasks.

    More Related Videos

    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

    666

    Related Experiment Videos

    Last Updated: Oct 1, 2025

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    538
    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

    666

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Machine Learning

    Background:

    • Existing image generation methods struggle with small objects and local textures.
    • Generating detailed and semantically consistent images remains a challenge.

    Purpose of the Study:

    • To develop a novel semantic-guided image generation method.
    • To improve the generation of fine details, small objects, and local textures.
    • To enhance semantic consistency in generated images.

    Main Methods:

    • Designed a local class-specific generative network guided by semantic maps.
    • Proposed a novel classification module for discriminative class-specific feature learning.
    • Developed a joint generation network with attention fusion and dual discriminators.
    • Introduced a semantic-aware upsampling method for improved feature preservation.

    Main Results:

    • Achieved superior performance on two image generation tasks.
    • Established state-of-the-art results by significant margins on nine public benchmarks.
    • Demonstrated improved generation of small objects and detailed local textures.

    Conclusions:

    • The proposed method effectively addresses limitations in current image generation techniques.
    • The local class-specific approach enhances detail and semantic consistency.
    • The method sets new benchmarks in semantic-guided image generation.