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Poster layout is a crucial aspect of poster design.
Unifying Layout Generation with a Decoupled Diffusion Model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 1942–1951
Mude Hui, Zhizheng Zhang, Xiaoyi Zhang, Wenxuan Xie, Yuwang Wang, and Yan Lu. 2023 · 1951
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Adaptive grid-based document layout
Charles Jacobs, Wilmot Li, Evan Schrier, David Bargeron, and David Salesin. 2003 · 2003
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Bricolage: Example-Based Retargeting for Web Design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . Association for Computing Machinery, 2197–2206
Ranjitha Kumar, Jerry O. Talton, Salman Ahmad, and Scott R. Klemmer. 2011 · 2011
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Make it home: automatic optimization of furniture arrangement
Lap-Fai Yu, Sai-Kit Yeung, Chi-Keung Tang, Demetri Terzopoulos, Tony F Chan, and Stanley J Osher. 2011 · 2011
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Automatic stylistic manga layout
Ying Cao, Antoni B Chan, and Rynson WH Lau. 2012 · 2012
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Learning Layouts for Single-PageGraphic Designs
Peter O’Donovan, Aseem Agarwala, and Aaron Hertzmann. 2014 · 2014
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Fast R-CNN. In Proceedings of the IEEE International Conference on Computer Vision (ICCV)
Ross Girshick. 2015 · 2015
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Deep Residual Learning for Image Recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Directing user attention via visual flow on web designs
X. Pang, Ying Cao, Rynson W. H. Lau, and Antoni B. Chan. 2016 · 2016
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Attention is all you need. In Advances in Neural Information Processing Systems , Vol. 30
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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LayoutVAE: Stochastic Scene Layout Generation From a Label Set. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, and Greg Mori. 2019 · 2019
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LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators. In International Conference on Learning Representations
Jianan Li, Jimei Yang, Aaron Hertzmann, Jianming Zhang, and Tingfa Xu. 2019 · 2019
Cited alongside, same era.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 2019
Cited alongside, same era.
Decoupled Weight Decay Regularization. In International Conference on Learning Representations
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library. In Advances in Neural Information Processing Systems , Vol. 32
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
Cited alongside, same era.
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 3732–3741
Cheng-Fu Yang, Wan-Cyuan Fan, Fu-En Yang, and Yu-Chiang Frank Wang. 2021 · 2021
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Geometry Aligned Variational Transformer for Image-conditioned Layout Generation. In Proceedings of the 30th ACM International Conference on Multimedia
Yunning Cao, Ye Ma, Min Zhou, Chuanbin Liu, Hongtao Xie, Tiezheng Ge, and Yuning Jiang. 2022 · 2022
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DiffusionDet: Diffusion Model for Object Detection
Shoufa Chen, Peize Sun, Yibing Song, and Ping Luo. 2022 · 2022
Later among the works it cites.
BLT: Bidirectional Layout Transformer For Controllable Layout Generation. In Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XVII . 474–490
Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, and Irfan Essa. 2022 · 2022
Later among the works it cites.
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Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, and Silvio Savarese. 2019 · 2019
Cited alongside, same era.
Content-aware generative modeling of graphic design layouts
Xinru Zheng, Xiaotian Qiao, Ying Cao, and Rynson WH Lau. 2019 · 2019
Cited alongside, same era.
Denoising Diffusion Probabilistic Models. In Advances in Neural Information Processing Systems , Vol. 33. 6840–6851
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Cited alongside, same era.
Neural design network: Graphic layout generation with constraints. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16 . 491–506
Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, and Weilong Yang. 2020 · 2020
Cited alongside, same era.
Retrieve-then-adapt: Example-based automatic generation for proportion-related infographics
Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, and Dongmei Zhang. 2020 · 2020
Cited alongside, same era.
Denoising Diffusion Implicit Models
Jiaming Song, Chenlin Meng, and Stefano Ermon. 2020 · 2020
Cited alongside, same era.
Structured denoising diffusion models in discrete state-spaces. In Advances in Neural Information Processing Systems , Vol. 34. 17981–17993
Jacob Austin, Daniel D Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg. 2021 · 2021
Cited alongside, same era.
Feature Pyramid Networks for Object Detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Tsung-Yi Lin, Piotr Dollar, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie. 2017a
Cited in the paper.
Resolution-Robust Large Mask Inpainting With Fourier Convolutions. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) . 2149–2159
Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, and Victor Lempitsky. 2022 · 2022
Later among the works it cites.
Composition-aware Graphic Layout GAN for Visual-Textual Presentation Designs. In IJCAI . 4995–5001
Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang, and Weiwei Xu. 2022 · 2022
Later among the works it cites.
Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 22563–22575
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis. 2023 · 2023
Closest in time.
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 10167–10176
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, and Kota Yamaguchi. 2023 · 2023
Closest in time.
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 22500–22510
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2023 · 2023
Closest in time.
Inversion-Based Style Transfer With Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 10146–10156
Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, and Changsheng Xu. 2023 · 2023
Closest in time.