関連する概念動画
Stereotype Content Model
15.3K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.3K
Impression Management Techniques IV: Altercasting
157
Altercasting is a strategic communication technique in which an individual imposes a specific identity or social role onto another person to influence their behavior and shape the interaction. By presuming a role—such as “responsible leader” or “patient person”—altercasting encourages the target to conform to that identity, often aligning their behavior with the expectations associated with the role. The power of this tactic lies in its subtlety; once a role...
157
Design Example
516
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
516
Impression Management Techniques I: Managing Appearances
187
Appearance is a multidimensional aspect of self-presentation that encompasses observable attributes such as clothing, grooming, speech, and nonverbal behavior. These elements are often strategically managed to align with socially constructed expectations in different settings. For instance, individuals tailor their appearance during job interviews, social gatherings, or athletic events to meet the perceived norms of those environments.Contextual Adaptation and Social SignalsThe research...
187
Divergence and Curl
3.1K
The divergence of a vector field at a point is the net outward flow of the flux out of a small volume through a closed surface enclosing the volume, as the volume tends to zero. More practically, divergence measures how much a vector field spreads out or diverges from a given point. For an outgoing flux, conventionally, the divergence is positive. The diverging point is often called the "source" of the field. Meanwhile, the negative divergence of a vector field at a point means that the vector...
3.1K
Position-effect Variegation
7.0K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
7.0K
こちらも読む
関連記事
共著者、ジャーナル、引用グラフによってこの研究に関連する記事。
並び替え
Same author
Refining 3D Human Texture Estimation From a Single Image.
IEEE transactions on pattern analysis and machine intelligence·2024
Same author
Progressive Learning of 3D Reconstruction Network From 2D GAN Data.
IEEE transactions on pattern analysis and machine intelligence·2023
Same author
Fine Detailed Texture Learning for 3D Meshes With Generative Models.
IEEE transactions on pattern analysis and machine intelligence·2023
Same author
Benchmarking the Robustness of Instance Segmentation Models.
IEEE transactions on neural networks and learning systems·2023
Same author
Image-to-Image Translation With Disentangled Latent Vectors for Face Editing.
IEEE transactions on pattern analysis and machine intelligence·2023
Same author
Partial Convolution for Padding, Inpainting, and Image Synthesis.
IEEE transactions on pattern analysis and machine intelligence·2022
Same journal
Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.
IEEE transactions on neural networks and learning systems·2026
Same journal
CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.
IEEE transactions on neural networks and learning systems·2026
Same journal
Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.
IEEE transactions on neural networks and learning systems·2026
Same journal
A Survey on Human-Centric Voice-Face Multimodal Learning.
IEEE transactions on neural networks and learning systems·2026
Same journal
Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.
IEEE transactions on neural networks and learning systems·2026
Same journal
FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.
IEEE transactions on neural networks and learning systems·2026
関連する実験動画
Updated: Jan 8, 2026

04:43
Visualizing Visual Adaptation
Published on: April 24, 2017
9.5K
スタイルコードによる多様な意味的画像編集
IEEE transactions on neural networks and learning systems
|December 12, 2025
まとめ
この研究は、新しい意味的画像編集フレームワークを導入し、新しいオブジェクトの統合を改善します。この手法は、スタイルの一貫性と境界のブレンディングを向上させ、よりリアルで多様な結果をもたらします。
科学分野:
- コンピュータビジョン
- 人工知能
背景:
- 意味的画像編集では、インペイント領域を文脈および意味的制約と調和させる必要があります。
- 既存の手法は、新しいオブジェクトのスタイル推論やシームレスな境界生成に苦労しています。
- 以前のアプローチでは、消去された領域からの情報のみをエンコードすることが多く、文脈を考慮した生成が制限されていました。
研究 の 目的:
- スタイルの一貫性と境界のブレンディングにおける限界に対処する、意味的画像編集のための新しいフレームワークを提案すること。
- 新しいオブジェクトを含む、多様で文脈的に適切な画像の生成を強化すること。
- 条件付き画像生成および意味的画像編集における最先端技術を改善すること。
主な方法:
- 可視オブジェクトと部分的に可視オブジェクトをエンコードするフレームワークを開発しました。
- スタイルエンコーディングの一貫性のための新しいメカニズムを導入しました。
- 編集された画像領域と元の画像領域間のシームレスな境界生成のための方法を実装しました。
主要な成果:
- 定量的評価において、最先端の手法を大幅に改善しました。
- 意味的画像編集タスクにおいて、より優れたパフォーマンスを達成しました。
- 多様で高品質な画像生成能力を実証しました。
結論:
- 提案されたフレームワークは、意味的画像編集における重要な進歩を提供します。
- この手法は、スタイルの一貫性と境界のブレンディングにおける課題にうまく対処しています。
- 今後の取り組みには、より広範なアクセシビリティのためにデモとコードをリリースすることが含まれます。

