Human Latent Metrics: Perceptual and Cognitive Response Correlates to Distance in GAN Latent Space for Facial Images-Reference-Cited by-同舟云学术

Human Latent Metrics: Perceptual and Cognitive Response Correlates to Distance in GAN Latent Space for Facial Images

Published:2022-09-22 Issue: Volume: Page:
ISSN:
Container-title:ACM Symposium on Applied Perception 2022
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Short-container-title:

Author:

Shimizu Kye¹,Ienaga Naoto²,Takada Kazuma³,Sugimoto Maki⁴,Kasahara Shunichi¹

Affiliation:

1. Sony Computer Science Laboratories, Inc, Japan

2. University of Tsukuba, Japan

3. Sony Computer Science Laboratories, Inc, Japan and Okinawa Institute of Science and Technology Graduate University, Japan

4. Keio University, Japan

Funder

JST Moonshot R&D Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3548814.3551460

Reference47 articles.

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2. Only a matter of style

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4. David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou Joshua B. Tenenbaum William T. Freeman and Antonio Torralba. 2018. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. arxiv:1811.10597 [cs.CV] David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou Joshua B. Tenenbaum William T. Freeman and Antonio Torralba. 2018. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. arxiv:1811.10597 [cs.CV]

5. Amit H. Bermano Rinon Gal Yuval Alaluf Ron Mokady Yotam Nitzan Omer Tov Or Patashnik and Daniel Cohen-Or. 2022. State-of-the-Art in the Architecture Methods and Applications of StyleGAN. https://doi.org/10.48550/ARXIV.2202.14020 10.48550/ARXIV.2202.14020

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