Intuitively interpreting GANs latent space using semantic distribution

Ruqi Wang; Guoyin Wang; Lihua Gu; Qun Liu; Yue Liu; Yike Guo

doi:10.1016/j.knosys.2024.112894

ScienceGate Book Chapters

JOURNAL ARTICLE

Intuitively interpreting GANs latent space using semantic distribution

Ruqi Wang Guoyin Wang Lihua Gu Qun Liu Yue Liu Yike Guo

Year: 2025 Journal: Knowledge-Based Systems Vol: 310 Pages: 112894-112894 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2024.112894

Get Full-Text PDF Get Analytical Report

Keywords:

Distribution (mathematics) Computer science Space (punctuation) Semantic space Probabilistic latent semantic analysis Artificial intelligence Natural language processing Mathematics Mathematical analysis

Metrics

Cited By

5.33

FWCI (Field Weighted Citation Impact)

Refs

0.79

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Generative Adversarial Networks and Image Synthesis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Intuitively interpreting GANs latent space using semantic distribution

Metrics

Citation History

Topics

Related Documents

Interpreting the Latent Space of GANs for Semantic Face Editing

Interpreting the Latent Space of GANs via Measuring Decoupling

Tensor Component Analysis for Interpreting the Latent Space of GANs

Disentangling the latent space of GANs for semantic face editing

Locality-Preserving Directions for Interpreting the Latent Space of Satellite Image GANs