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Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts.
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FSIM: A feature similarity index for image quality assessment
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Combing the hairball with biofabric: a new approach for visualization of large networks
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The uncanny valley [from the field]
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Unsupervised feature learning framework for no-reference image quality assessment
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Datatone: Managing ambiguity in natural language interfaces for data visualization
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Learning a no-reference quality metric for single-image super-resolution
C. Ma, C. Yang, X. Yang, and M. Yang · 2016
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A unified approach to interpreting model predictions
S. M. Lundberg and S.-I. Lee · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
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Contemplating visual emotions: Understanding and overcoming dataset bias
R. Panda, J. Zhang, H. Li, J. Lee, X. Lu, and A. K. Roy-Chowdhury · 2018
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A semantic-based method for visualizing large image collections
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BERT: pre-training of deep bidirectional transformers for language understanding
J. Devlin, M. Chang, K. Lee, and K. Toutanova · 2019
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Emoco: Visual analysis of emotion coherence in presentation videos
H. Zeng, X. Wang, A. Wu, Y. Wang, Q. Li, A. Endert, and H. Qu · 2019
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DM-GAN: dynamic memory generative adversarial networks for text-to-image synthesis
M. Zhu, P. Pan, W. Chen, and Y. Yang · 2019
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Language models are few-shot learners
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How can we know what language models know?
Z. Jiang, F. F. Xu, J. Araki, and G. Neubig · 2020
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Taxthemis: Interactive mining and exploration of suspicious tax evasion groups
Y. Lin, K. Wong, Y. Wang, R. Zhang, B. Dong, H. Qu, and Q. Zheng · 2020
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Autoprompt: Eliciting knowledge from language models with automatically generated prompts
T. Shin, Y. Razeghi, R. L. Logan IV, E. Wallace, and S. Singh · 2020
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How to ask what to say?: Strategies for evaluating natural language interfaces for data visualization
A. Srinivasan and J. Stasko · 2020
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Artemis: Affective language for visual art
P. Achlioptas, M. Ovsjanikov, K. Haydarov, M. Elhoseiny, and L. J. Guibas · 2021
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Towards better caption supervision for object detection
C. Chen, J. Wu, X. Wang, S. Xiang, S.-H. Zhang, Q. Tang, and S. Liu · 2021
Prompt engineering for text-based generative art
J. Oppenlaender · 2022
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A taxonomy of prompt modifiers for text-to-image generation
J. Oppenlaender · 2022
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Training language models to follow instructions with human feedback
L. Ouyang et al · 2022
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Hierarchical text-conditional image generation with clip latents
A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen · 2022
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High-resolution image synthesis with latent diffusion models
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer · 2022
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Interactive and visual prompt engineering for ad-hoc task adaptation with large language models
H. Strobelt, A. Webson, V. Sanh, B. Hoover, J. Beyer, H. Pfister, and A. M. Rush · 2022
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Perceptual image quality assessment with transformers
M. Cheon, S. Yoon, B. Kang, and J. Lee · 2021
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Making pre-trained language models better few-shot learners
T. Gao, A. Fisch, and D. Chen · 2021
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The power of scale for parameter-efficient prompt tuning
B. Lester, R. Al-Rfou, and N. Constant · 2021
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Gosling: A grammar-based toolkit for scalable and interactive genomics data visualization
S. L’Yi, Q. Wang, F. Lekschas, and N. Gehlenborg · 2021
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Learning transferable visual models from natural language supervision
A. Radford et al · 2021
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How many data points is a prompt worth?
T. L. Scao and A. M. Rush · 2021
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Exploring clip for assessing the look and feel of images
J. Wang, K. C. Chan, and C. C. Loy · 2022
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Interactive data analysis with next-step natural language query recommendation
X. Wang, F. Cheng, Y. Wang, K. Xu, J. Long, H. Lu, and H. Qu · 2022
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DiffusionDB: A large-scale prompt gallery dataset for text-to-image generative models
Z. J. Wang, E. Montoya, D. Munechika, H. Yang, B. Hoover, and D. H. Chau · 2022
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Promptchainer: Chaining large language model prompts through visual programming
T. Wu, E. Jiang, A. Donsbach, J. Gray, A. Molina, M. Terry, and C. J. Cai · 2022
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Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts
T. Wu, M. Terry, and C. J. Cai · 2022
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Interactive visual cluster analysis by contrastive dimensionality reduction
J. Xia, L. Huang, W. Lin, X. Zhao, J. Wu, Y. Chen, Y. Zhao, and W. Chen · 2022
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Gesturelens: Visual analysis of gestures in presentation videos
H. Zeng, X. Wang, Y. Wang, A. Wu, T.-C. Pong, and H. Qu · 2022
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Cohortva: A visual analytic system for interactive exploration of cohorts based on historical data
W. Zhang, J. K. Wong, X. Wang, Y. Gong, R. Zhu, K. Liu, Z. Yan, S. Tan, H. Qu, S. Chen, and W. Chen · 2022
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Dpviscreator: Incorporating pattern constraints to privacy-preserving visualizations via differential privacy
J. Zhou, X. Wang, J. K. Wong, H. Wang, Z. Wang, X. Yang, X. Yan, H. Feng, H. Qu, H. Ying, and W. Chen · 2022
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XNLI: Explaining and diagnosing nli-based visual data analysis
Y. Feng, X. Wang, B. Pan, K. K. Wong, Y. Ren, S. Liu, Z. Yan, Y. Ma, H. Qu, and W. Chen · 2023
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Videopro: A visual analytics approach for interactive video programming
J. He, X. Wang, K. K. Wong, X. Huang, C. Chen, Z. Chen, F. Wang, M. Zhu, and H. Qu · 2023
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GPT-4 technical report
OpenAI · 2023
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Drag your gan: Interactive point-based manipulation on the generative image manifold
X. Pan, A. Tewari, T. Leimkühler, L. Liu, A. Meka, and C. Theobalt · 2023
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Vis+ ai: integrating visualization with artificial intelligence for efficient data analysis
X. Wang, Z. Wu, W. Huang, Y. Wei, Z. Huang, M. Xu, and W. Chen · 2023
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Reprompt: Automatic prompt editing to refine ai-generative art towards precise expressions
Y. Wang, S. Shen, and B. Y. Lim · 2023
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Towards an understanding and explanation for mixed-initiative artificial scientific text detection
L. Weng, M. Zhu, K. K. Wong, S. Liu, J. Sun, H. Zhu, D. Han, and W. Chen · 2023
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Anchorage: Visual analysis of satisfaction in customer service videos via anchor events
K. K. Wong, X. Wang, Y. Wang, J. He, R. Zhang, and H. Qu · 2023
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Adding conditional control to text-to-image diffusion models
L. Zhang and M. Agrawala · 2023
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Scrolltimes: Tracing the provenance of paintings as a window into history
W. Zhang, J. K. Wong, Y. Chen, A. Jia, L. Wang, J.-W. Zhang, L. Cheng, and W. Chen · 2023
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Computational approaches for traditional chinese painting: From the “six principles of painting” perspective
W. Zhang, J.-W. Zhang, K. K. Wong, Y. Wang, Y. Feng, L. Wang, and W. Chen · 2023
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