Fetching the paper…
Reading the bibliography…
Conditional graphic layout generation, which automatically maps user constraints to high-quality layouts, has attracted widespread attention today.
The hungarian method for the assignment problem
H. W. Kuhn · 1955
Earlier work this paper cites.
Auto completion of user interface layout design using transformer-based tree decoders
Y. Li, J. Amelot, X. Zhou, S. Bengio, and S. Si · 2001
Earlier work this paper cites.
Saliency detection: A spectral residual approach
X. Hou and L. Zhang · 2007
Earlier work this paper cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin · 2017
Earlier work this paper cites.
Learning design semantics for mobile apps
T. F. Liu, M. Craft, J. Situ, E. Yumer, R. Mech, and R. Kumar · 2018
Earlier work this paper cites.
Layoutvae: Stochastic scene layout generation from a label set
A. A. Jyothi, T. Durand, J. He, L. Sigal, and G. Mori · 2019
Earlier work this paper cites.
Content-aware generative modeling of graphic design layouts
X. Zheng, X. Qiao, Y. Cao, and R. W. Lau · 2019
Earlier work this paper cites.
Publaynet: largest dataset ever for document layout analysis, 2019
X. Zhong, J. Tang, and A. J. Yepes · 2019
Earlier work this paper cites.
Language models are few-shot learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al · 2020
Earlier work this paper cites.
Neural design network: Graphic layout generation with constraints
H.-Y. Lee, L. Jiang, I. Essa, P. B. Le, H. Gong, M.-H. Yang, and W. Yang · 2020
Earlier work this paper cites.
Variational transformer networks for layout generation
D. M. Arroyo, J. Postels, and F. Tombari · 2021
Earlier work this paper cites.
Evaluating large language models trained on code, 2021
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. P. de Oliveira Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman, A. Ray, R. Puri, G. Krueger, M. Petrov, H. Khlaaf, G. Sastry, P. Mishkin, B. Chan, S. Gray, N. Ryder, M. Pavlov, A. Power, L. Kaiser, M. Bavarian, C. Winter, P. Tillet, F. P. Such, D. Cummings, M. Plappert, F. Chantzis, E. Barnes, A. Herbert-Voss, W. H. Guss, A. Nichol, A. Paino, N. Tezak, J. Tang, I. Babuschkin, S. Balaji, S. Jain, W. Saunders, C. Hesse, A. N. Carr, J. Leike, J. Achiam, V. Misra, E. Morikawa, A. Radford, M. Knight, M. Brundage, M. Murati, K. Mayer, P. Welinder, B. McGrew, D. Amodei, S. McCandlish, I. Sutskever, and W. Zaremba · 2021
Cited alongside, same era.
Layouttransformer: Layout generation and completion with self-attention
K. Gupta, J. Lazarow, A. Achille, L. S. Davis, V. Mahadevan, and A. Shrivastava · 2021
Cited alongside, same era.
Creating user interface mock-ups from high-level text descriptions with deep-learning models
F. Huang, G. Li, X. Zhou, J. F. Canny, and Y. Li · 2021
Cited alongside, same era.
Constrained graphic layout generation via latent optimization
K. Kikuchi, E. Simo-Serra, M. Otani, and K. Yamaguchi · 2021
Cited alongside, same era.
Decomposed prompting: A modular approach for solving complex tasks
T. Khot, H. Trivedi, M. Finlayson, Y. Fu, K. Richardson, P. Clark, and A. Sabharwal · 2022
Later among the works it cites.
Blt: bidirectional layout transformer for controllable layout generation
X. Kong, L. Jiang, H. Chang, H. Zhang, Y. Hao, H. Gong, and I. Essa · 2022
Later among the works it cites.
PaLI: A jointly-scaled multilingual language-image model
X. Chen, X. Wang, S. Changpinyo, A. Piergiovanni, P. Padlewski, D. Salz, S. Goodman, A. Grycner, B. Mustafa, L. Beyer, A. Kolesnikov, J. Puigcerver, N. Ding, K. Rong, H. Akbari, G. Mishra, L. Xue, A. V. Thapliyal, J. Bradbury, W. Kuo, M. Seyedhosseini, C. Jia, B. K. Ayan, C. R. Ruiz, A. P. Steiner, A. Angelova, X. Zhai, N. Houlsby, and R. Soricut · 2023
Closest in time.
Posterlayout: A new benchmark and approach for content-aware visual-textual presentation layout, 2023
H. Hsu, X. He, Y. Peng, H. Kong, and Q. Zhang · 2023
Closest in time.
Unifying layout generation with a decoupled diffusion model, 2023
M. Hui, Z. Zhang, X. Zhang, W. Xie, Y. Wang, and Y. Lu · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Liu, D. Shen, Y. Zhang, B. Dolan, L. Carin, and W. Chen · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al · 2021
Cited alongside, same era.
Ruite: Refining ui layout aesthetics using transformer encoder
S. Rahman, V. P. Sermuga Pandian, and M. Jarke · 2021
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
J.-B. Alayrac, J. Donahue, P. Luc, A. Miech, I. Barr, Y. Hasson, K. Lenc, A. Mensch, K. Millican, M. Reynolds, et al · 2022
Cited alongside, same era.
Palm: Scaling language modeling with pathways
A. Chowdhery, S. Narang, J. Devlin, M. Bosma, G. Mishra, A. Roberts, P. Barham, H. W. Chung, C. Sutton, S. Gehrmann, et al · 2022
Cited alongside, same era.
In-context learning for few-shot dialogue state tracking
Y. Hu, C.-H. Lee, T. Xie, T. Yu, N. A. Smith, and M. Ostendorf · 2022
Cited alongside, same era.
Unilayout: Taming unified sequence-to-sequence transformers for graphic layout generation
Z. Jiang, H. Deng, Z. Wu, J. Guo, S. Sun, V. Mijovic, Z. Yang, J.-G. Lou, and D. Zhang · 2022
Cited alongside, same era.
Attribute-conditioned layout gan for automatic graphic design
J. Li, J. Yang, J. Zhang, C. Liu, C. Wang, and T. Xu
Cited in the paper.
Closest in time.
Mathprompter: Mathematical reasoning using large language models
S. Imani, L. Du, and H. Shrivastava · 2023
Closest in time.
Layoutdm: Discrete diffusion model for controllable layout generation
N. Inoue, K. Kikuchi, E. Simo-Serra, M. Otani, and K. Yamaguchi · 2023
Closest in time.
A parse-then-place approach for generating graphic layouts from textual descriptions
J. Lin, J. Guo, S. Sun, W. Xu, T. Liu, J.-G. Lou, and D. Zhang · 2023
Closest in time.
Visual instruction tuning
H. Liu, C. Li, Q. Wu, and Y. J. Lee · 2023
Closest in time.
Gpt-4 technical report, 2023
OpenAI · 2023
Closest in time.
Llama: Open and efficient foundation language models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M.-A. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, et al · 2023
Closest in time.