Presentation 2019-07-19
A Note on Semantic Evaluation of Images Generated by Text-to-image Generative Adversarial Networks
Rintaro Yanagi, Togo Ren, Takahiro Ogawa, Miki Haseyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Evaluating the quality of generated images from input sentences is important to verify the effectiveness of text-to-image Generative Adversarial Network (GAN) models. In the evaluation, generated images are evaluated in the view of ``Whether generated images are visually pleasant or not'' and ``Whether generated images represent the content of an input sentence or not''. There are various methods to evaluate the former evaluation but there is not much discussion about the later evaluation. We propose a new evaluation method to evaluate how much the generated images contain the semantic meaning of an input sentence, and verify the quality of generated images. In the proposed method, we generate a sentence from an image generated from an input sentence. We define similarity between the generated sentence and the input sentence as our evaluation value. By utilizing the generated sentence and the input sentence, we can verify the quality of the generated images quantitatively.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Generative adversarial network / Evaluation metrics / Image-to-text model / Text-to-image model
Paper # IMQ2019-5,HIP2019-33
Date of Issue 2019-07-12 (IMQ, HIP)

Conference Information
Committee IMQ / HIP
Conference Date 2019/7/19(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Satellite Campus, Sapporo City University
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Media Quality and Human Information Processing
Chair Toshiya Nakaguchi(Chiba Univ.) / Miyuki Kamachi(Kogakuin Univ.)
Vice Chair Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Shuichi Sakamoto(Tohoku Univ.) / Yuji Wada(Ritsumeikan Univ.)
Secretary Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Shuichi Sakamoto(NICT) / Yuji Wada(NTT)
Assistant Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Atsushi Wada(NICT) / Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.)

Paper Information
Registration To Technical Committee on Image Media Quality / Technical Committee on Human Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Note on Semantic Evaluation of Images Generated by Text-to-image Generative Adversarial Networks
Sub Title (in English)
Keyword(1) Generative adversarial network
Keyword(2) Evaluation metrics
Keyword(3) Image-to-text model
Keyword(4) Text-to-image model
1st Author's Name Rintaro Yanagi
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Togo Ren
2nd Author's Affiliation Hokkaido University(Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa
3rd Author's Affiliation Hokkaido University(Hokkaido Univ.)
4th Author's Name Miki Haseyama
4th Author's Affiliation Hokkaido University(Hokkaido Univ.)
Date 2019-07-19
Paper # IMQ2019-5,HIP2019-33
Volume (vol) vol.119
Number (no) IMQ-131,HIP-132
Page pp.pp.21-24(IMQ), pp.21-24(HIP),
#Pages 4
Date of Issue 2019-07-12 (IMQ, HIP)