Presentation 2023-03-03
[Tutorial Lecture] On Semantic Image Processing with Autoencoder
Hiroyuki Tsuji,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Variational Auto Encoder (VAE) has a conceptually well-structured latent space and can realize semantic image manipulation through simple vector operations on the latent space, but on the other hand, it is known to have image quality problems such as blurring in the reconstructed image. Recently, autoencoders that employ generators of deep generative models such as GAN and diffusion models as decoders, combined with encoders that map arbitrary inputs to the latent space, have been proposed to enable high-quality image reconstruction that could not be achieved with VAE.This paper describes the recent trends of Encoder-Generator type autoencoders and semantic image processing using these autoencoders.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep generative model / Autoencoder / VAE / GAN / Duffusion model / Latent space
Paper # SIS2022-58
Date of Issue 2023-02-23 (SIS)

Conference Information
Committee SIS
Conference Date 2023/3/2(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Chiba Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tomoaki Kimura(Kanagawa Inst. of Tech.)
Vice Chair Naoto Sasaoka(Tottori Univ.) / Hakaru Tamukoh(Kyushu Inst. of Tech.)
Secretary Naoto Sasaoka(NTT) / Hakaru Tamukoh(Kansai Univ.)
Assistant Yoshiaki Makabe(Kanagawa Inst. of Tech.) / Yosuke Sugiura(Saitama Univ.)

Paper Information
Registration To Technical Committee on Smart Info-Media Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Tutorial Lecture] On Semantic Image Processing with Autoencoder
Sub Title (in English)
Keyword(1) Deep generative model
Keyword(2) Autoencoder
Keyword(3) VAE
Keyword(4) GAN
Keyword(5) Duffusion model
Keyword(6) Latent space
1st Author's Name Hiroyuki Tsuji
1st Author's Affiliation Kanagawa Institute of Technology(KAIT)
Date 2023-03-03
Paper # SIS2022-58
Volume (vol) vol.122
Number (no) SIS-410
Page pp.pp.97-102(SIS),
#Pages 6
Date of Issue 2023-02-23 (SIS)