Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Nonconscious Mimicry01:13

Nonconscious Mimicry

4.5K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.5K
Associative Learning01:27

Associative Learning

340
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
340
Masking and Demasking Agents01:19

Masking and Demasking Agents

2.4K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
2.4K
Muscles for Facial Expressions01:14

Muscles for Facial Expressions

2.0K
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...
2.0K
Deconvolution01:20

Deconvolution

155
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
155
Prosopagnosia01:24

Prosopagnosia

156
Prosopagnosia, also known as face blindness, is the inability to recognize faces. In severe cases, individuals with prosopagnosia may not recognize close family members, including parents and spouses, by their faces. For instance, someone with prosopagnosia might walk past their child in a crowd, only realizing their mistake upon noticing their child's distinctive backpack or favorite jacket. Prosopagnosia specifically impairs facial recognition, while the recognition of other objects or...
156

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Herpes zoster as a vaccine-preventable risk factor increases the risk of dementia: A nested case-control study in Chinese population.

Human vaccines & immunotherapeutics·2026
Same author

High-Quality Entity Segmentation and Grounding.

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

Discrete Tokenization for Multimodal LLMs: A Comprehensive Survey.

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

StarIR: Convolutional Image Restoration With Spatial-Frequency Fusion.

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

Editing 3D Scenes via Text Prompts Without Retraining.

IEEE transactions on visualization and computer graphics·2026
Same author

DrivingGaussian++: Toward Realistic Reconstruction and Editable Simulation for Surrounding Dynamic Driving Scenes.

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

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

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

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

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

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

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

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

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

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

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

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: Jun 25, 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

13.2K

学习解的表示为一拍子的渐进式面部交换.

Qi Li, Weining Wang, Chengzhong Xu

    IEEE transactions on pattern analysis and machine intelligence
    |May 22, 2024
    PubMed
    概括
    此摘要是机器生成的。

    FaceSwapper使用生成对抗网络提供高效的一次性面部交换. 它改进了身份表示,并使用语义信息来准确的姿势和表达,以更少的数据实现最先进的结果.

    更多相关视频

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.3K
    Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face
    08:15

    Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

    Published on: January 7, 2019

    6.9K

    相关实验视频

    Last Updated: Jun 25, 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

    13.2K
    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.3K
    Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face
    08:15

    Reverse Dissection and DiceCT Reveal Otherwise Hidden Data in the Evolution of the Primate Face

    Published on: January 7, 2019

    6.9K

    科学领域:

    • 计算机视觉 计算机视觉
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 面部交换技术正在进步,但面临着身份表示和语义理解方面的挑战.
    • 当前的方法通常需要大量的数据,并与固定的身份特征作斗争,限制交换质量.

    研究的目的:

    • 介绍FaceSwapper,一个高效的一次性面部交换方法.
    • 通过解脱身份和属性信息并纳入语义指导来增强面部交换.

    主要方法:

    • 开发了一种新的方法,FaceSwapper,利用生成对抗网络 (GAN).
    • 实现了一个解的表示模块,具有灵活的身份和详细的属性编码器.
    • 引入了一个语义引导的融合模块,用于精确控制交换区域,姿势和表达式.

    主要成果:

    • 在基准面部交换数据集上实现了最先进的性能.
    • 与现有方法相比,训练样本显著减少,证明了有效性.
    • 展示了由于脱而出的表示而逐渐的面部交换能力.

    结论:

    • FaceSwapper提供了一种灵活而高效的解决方案,用于一次性面部交换.
    • 解散的表示和语义指导的整合带来了卓越的结果.
    • 该方法为改善面部操纵中的身份保护和属性准确性提供了一个有希望的方向.