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Foundation models for vision and language are the basis of AI applications across numerous sectors of society.
Anatomical studies of the circle of willis in normal brain
B. J. Alpers, R. G. Berry, and R. M. Paddison · 1959
Earlier work this paper cites.
Graphical perception: Theory, experimentation, and application to the development of graphical methods
W. S. Cleveland and R. McGill · 1984
Earlier work this paper cites.
Aesthetic judgment
N. Zangwill · 2003
Earlier work this paper cites.
The value of visualization
J. J. Van Wijk · 2005
Earlier work this paper cites.
Visualizing data using t-sne
L. Van der Maaten and G. Hinton · 2008
Earlier work this paper cites.
The perception of correlation in scatterplots
R. A. Rensink and G. Baldridge · 2010
Earlier work this paper cites.
Attention and visual memory in visualization and computer graphics
C. Healey and J. Enns · 2011
Earlier work this paper cites.
Design study methodology: Reflections from the trenches and the stacks
M. Sedlmair, M. Meyer, and T. Munzner · 2012
Earlier work this paper cites.
What makes a visualization memorable?
M. A. Borkin, A. A. Vo, Z. Bylinskii, P. Isola, S. Sunkavalli, A. Oliva, and H. Pfister · 2013
Earlier work this paper cites.
A multi-level typology of abstract visualization tasks
M. Brehmer and T. Munzner · 2013
Earlier work this paper cites.
Bayesian Data Analysis
A. Gelman, J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari, and D. B. Rubin · 2013
Earlier work this paper cites.
Reflections on how designers design with data
A. Bigelow, S. Drucker, D. Fisher, and M. Meyer · 2014
Earlier work this paper cites.
Ranking visualizations of correlation using weber’s law
L. Harrison, F. Yang, S. Franconeri, and R. Chang · 2014
Earlier work this paper cites.
The nested blocks and guidelines model
M. Meyer, M. Sedlmair, P. S. Quinan, and T. Munzner · 2015
Earlier work this paper cites.
Sketching designs using the five design-sheet methodology
J. C. Roberts, C. Headleand, and P. D. Ritsos · 2015
Earlier work this paper cites.
Four types of ensemble coding in data visualizations
D. A. Szafir, S. Haroz, M. Gleicher, and S. Franconeri · 2016
Earlier work this paper cites.
Categorical reparameterization with gumbel-softmax
E. Jang, S. Gu, and B. Poole · 2017
Earlier work this paper cites.
Towards perceptual optimization of the visual design of scatterplots
L. Micallef, G. Palmas, A. Oulasvirta, and T. Weinkauf · 2017
Earlier work this paper cites.
Modeling color difference for visualization design
D. A. Szafir · 2017
Earlier work this paper cites.
Towards visualization recommendation systems
M. Vartak, S. Huang, T. Siddiqui, S. Madden, and A. Parameswaran · 2017
Earlier work this paper cites.
A perception-driven approach to supervised dimensionality reduction for visualization
Y. Wang, K. Feng, X. Chu, J. Zhang, C.-W. Fu, M. Sedlmair, X. Yu, and B. Chen · 2017
Earlier work this paper cites.
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Y. Wang, Y. Wang, Y. Sun, L. Zhu, K. Lu, C.-W. Fu, M. Sedlmair, O. Deussen, and B. Chen · 2017
Earlier work this paper cites.
Somewhere over the rainbow: An empirical assessment of quantitative colormaps
Y. Liu and J. Heer · 2018
Earlier work this paper cites.
Data illustrator: Augmenting vector design tools with lazy data binding for expressive visualization authoring
Z. Liu, J. Thompson, A. Wilson, M. Dontcheva, J. Delorey, S. Grigg, B. Kerr, and J. Stasko · 2018
Earlier work this paper cites.
Umap: Uniform manifold approximation and projection for dimension reduction
L. McInnes, J. Healy, and J. Melville · 2018
Earlier work this paper cites.
Charticulator: Interactive construction of bespoke chart layouts
D. Ren, B. Lee, and M. Brehmer · 2018
Earlier work this paper cites.
Vizml: A machine learning approach to visualization recommendation
K. Hu, M. A. Bakker, S. Li, T. Kraska, and C. Hidalgo · 2019
Earlier work this paper cites.
A style-based generator architecture for generative adversarial networks
T. Karras, S. Laine, and T. Aila · 2019
Earlier work this paper cites.
Soft rasterizer: A differentiable renderer for image-based 3d reasoning
S. Liu, T. Li, W. Chen, and H. Li · 2019
Earlier work this paper cites.
Information visualization: perception for design
C. Ware · 2019
Earlier work this paper cites.
Perceptual proxies for extracting averages in data visualizations
L. Yuan, S. Haroz, and S. Franconeri · 2019
Cited alongside, same era.
Composition and configuration patterns in multiple-view visualizations
X. Chen, W. Zeng, Y. Lin, H. M. Ai-Maneea, J. Roberts, and R. Chang · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al · 2020
Cited alongside, same era.
Generative adversarial networks
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2020
Cited alongside, same era.
Visual reasoning strategies for effect size judgments and decisions
A. Kale, M. Kay, and J. Hullman · 2020
Cited alongside, same era.
A variational perspective on solving inverse problems with diffusion models
M. Mardani, J. Song, J. Kautz, and A. Vahdat · 2023
Later among the works it cites.
R. T. McCoy, S. Yao, D. Friedman, M. Hardy, and T. L. Griffiths · 2023
Later among the works it cites.
Mini-vlat: A short and effective measure of visualization literacy
S. Pandey and A. Ottley · 2023
Later among the works it cites.
Sdxl: Improving latent diffusion models for high-resolution image synthesis
D. Podell, Z. English, K. Lacey, A. Blattmann, T. Dockhorn, J. Müller, J. Penna, and R. Rombach · 2023
Later among the works it cites.
Dreamfusion: Text-to-3d using 2d diffusion
B. Poole, A. Jain, J. T. Barron, and B. Mildenhall · 2023
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T.-M. Li, M. Lukáč, M. Gharbi, and J. Ragan-Kelley · 2020
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S. Liu, P.-Y. Chen, B. Kailkhura, G. Zhang, A. O. Hero III, and P. K. Varshney · 2020
Cited alongside, same era.
Surfacing visualization mirages
A. McNutt, G. Kindlmann, and M. Correll · 2020
Cited alongside, same era.
Rainbows revisited: Modeling effective colormap design for graphical inference
K. Reda and D. A. Szafir · 2020
Cited alongside, same era.
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N. C. Rust and V. Mehrpour · 2020
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G. Batzolis, J. Stanczuk, C.-B. Schönlieb, and C. Etmann · 2021
Cited alongside, same era.
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R. Bommasani, D. A. Hudson, E. Adeli, R. Altman, S. Arora, S. von Arx, M. S. Bernstein, J. Bohg, A. Bosselut, E. Brunskill, et al · 2021
Cited alongside, same era.
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Doom or deliciousness: Challenges and opportunities for visualization in the age of generative models
V. Schetinger, S. Di Bartolomeo, M. El-Assady, A. McNutt, M. Miller, J. P. A. Passos, and J. L. Adams · 2023
Later among the works it cites.
Nerfstudio: A modular framework for neural radiance field development
M. Tancik, E. Weber, E. Ng, R. Li, B. Yi, J. Kerr, T. Wang, A. Kristoffersen, J. Austin, K. Salahi, A. Ahuja, D. McAllister, and A. Kanazawa · 2023
Later among the works it cites.
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L. Wang, S. Zhang, Y. Wang, E.-P. Lim, and Y. Wang · 2023
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J. Wu, J. J. Y. Chung, and E. Adar · 2023
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Z. Yang, L. Li, K. Lin, J. Wang, C.-C. Lin, Z. Liu, and L. Wang · 2023
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A survey on multimodal large language models
S. Yin, C. Fu, S. Zhao, K. Li, X. Sun, T. Xu, and E. Chen · 2023
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S. Zhang, Y. Wang, H. Li, and H. Qu · 2023
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Judgelm: Fine-tuned large language models are scalable judges
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Analyzing the roles of language and vision in learning from limited data
A. Chen, I. Sucholutsky, O. Russakovsky, and T. L. Griffiths · 2024
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Y. Huang, X. Sheng, Z. Yang, Q. Yuan, Z. Duan, P. Chen, L. Li, W. Lin, and G. Shi · 2024
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R. Xia, B. Zhang, H. Ye, X. Yan, Q. Liu, H. Zhou, Z. Chen, M. Dou, B. Shi, J. Yan, et al · 2024
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