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Publication
[18] Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Daichi Horita, Naoto Inoue, Kotaro Kikuchi, Kota Yamaguchi, and Kiyoharu Aizawa
In CVPR, Oral, 2024.
[Paper] [Project] [Code]
Out of 11,532 submissions, it's in the top 90 (top 0.78%) and among the 2,719 accepted papers (top 3.3%)!
We provide an all-in-one package for content-aware layout generation!
[17] A Structure-Guided Diffusion Model for Large-Hole Image Completion
Daichi Horita, Jiaolong Yang, Dong Chen, Yuki Koyama, Kiyoharu Aizawa, and Nicu Sebe
In BMVC, 2023.
[Paper] [Project]
[16] Restorable Visible and Infrared Image Fusion
Jihun Kang, Daichi Horita, Koki Tsubota, and Kiyoharu Aizawa
In ICIP, 2023.
[Paper]
[15] SLGAN: Style- and Latent-guided Generative Adversarial Network for Desirable Makeup Transfer and Removal
Daichi Horita, and Kiyoharu Aizawa
In ACM Multimedia Asia, 2022 (acceptance rate 30%).
[Paper]
[14] Translation of Illustration Artist Style Using Sailormoonredraw Data
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa, and Naohiro Yanase
In ICIP, 2022 (acceptance rate 48%).
[Paper]
[13] Ukemochi: A Video See-through Food Overlay System for Eating Experience in the Metaverse
Kizashi Nakano, Daichi Horita, Naoya Isoyama, Hideki Uchiyama, and Kiyoshi Kiyokawa
In CHI Late Breaking Works, 2022 (acceptance rate 33%).
[Paper]
[Video]
[12] Fast Nonlinear Image Unblending
Daichi Horita, Kiyoharu Aizawa, Ryohei Suzuki, Taizan Yonetsuji, and Huachun Zhu
In WACV, 2022 (acceptance rate 35%).
[Paper]
[11] Food Image Generation and Translation and Its Application to Augmented Reality
Keiji Yanai, Daichi Horita, and Jaehyeong Cho
In MIPR, 2020.
[Paper]
[10] SSA-GAN: End-to-End Time-Lapse Video Generation with Spatial Self-Attention
Daichi Horita, and Keiji Yanai
In ACPR, 2020 (acceptance rate 45%).
[Paper]
[9] DeepTaste: Augmented Reality Gustatory Manipulation with GAN-based Real-time Food-to-food Translation
Kizashi Nakano*, Daichi Horita*, Nobuchika Sakata, Kiyoshi Kiyokawa, Keiji Yanai, and Takuji Narumi (*) equally contributed
In ISMAR, oral, 2019 (acceptance rate 22%).
[Paper]
[8] Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN
Daichi Horita, and Keiji Yanai
In ACM Multimedia Workshop, 2019.
[Paper]
[7] Large-scale Twitter Food Photo Mining and Its Applications
Keiji Yanai, Kaimu Okamoto, Tetsuya Nagano, and Daichi Horita
In BIGMM, 2019.
[Paper]
[6] Enchanting Your Noodles: GAN-based Real-time Food-to-Food Translation and Its Impact on Vision-induced Gustatory Manipulation
Kizashi Nakano*, Daichi Horita*, Nobuchika Sakata, Kiyoshi Kiyokawa, Keiji Yanai, and Takuji Narumi (*) equally contributed
In IEEE VR, demo, 2019.
[Paper]
[5] Enchanting Your Noodles: A Gustatory Manipulation Interface by Using GAN-based Real-time Food-to-Food Translation
Kizashi Nakano*, Daichi Horita*, Nobuchika Sakata, Kiyoshi Kiyokawa, Keiji Yanai, and Takuji Narumi (*) equally contributed
In IEEE VR, poster, 2019.
[Paper]
[Video]
[4] Real-Time Image Classification and Transformation Apps on iOS by “Chainer2MPSNNGraph”
Yuki Izumi, Daichi Horita, Ryosuke Tanno, and Keiji Yanai
In NeurIPS Workshop, 2018.
[Paper]
[3] Ramen Spoon Eraser: CNN-based Photo Transformation for Improving Attractiveness of Ramen Photos
Daichi Horita, Jaehyeong Cho, Takumi Ege, and Keiji Yanai
In VRST, poster, 2018.
[Paper]
[2] Magical Rice Bowl: Real-time Food Category Changer
Ryosuke Tanno, Daichi Horita, Wataru Shimoda, and Keiji Yanai
In ACM Multimedia, demo, 2018.
[Paper]
[1] Food Category Transfer with Conditional Cycle GAN and a Large-scale Food Image Dataset
Daichi Horita, Ryosuke Tanno, Wataru Shimoda, and Keiji Yanai
In IJCAI Workshop, oral, 2018.
[Paper]
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