LayoutDM: Discrete Diffusion Model for Controllable Layout Generation-Reference-Cited by-同舟云学术

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Inoue Naoto¹,Kikuchi Kotaro¹,Simo-Serra Edgar²,Otani Mayu¹,Yamaguchi Kota¹

Affiliation:

1. CyberAgent,Japan

2. Waseda University,Japan

Publisher

IEEE

Link

Reference45 articles.

1. Denoising diffusion probabilistic models;ho;NeurIPS,2020

2. Retrieve-then-adapt: Example-based automatic generation for proportion-related infographics;qian;IEEE TVCG,2020

3. Gans trained by a two time-scale update rule converge to a local nash equilibrium;heusel;NeurIPS,2017

4. READ: Recursive autoencoders for document layout generation;gadi patil;cvprw,2020

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