Fetching the paper…
Reading the bibliography…
The recent advancements in Generative AI have significantly advanced the field of text-to-image generation.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 1901
Earlier work this paper cites.
3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (DIS ’23) . Association for Computing Machinery, New York, NY, USA, 1955–1977
Vivian Liu, Jo Vermeulen, George Fitzmaurice, and Justin Matejka. 2023 · 1977
Earlier work this paper cites.
Direct Manipulation: A Step Beyond Programming Languages. In Proceedings of the Joint Conference on Easier and More Productive Use of Computer Systems.(Part-II): Human Interface and the User Interface-Volume 1981 . 143
Ben Shneiderman. 1981 · 1981
Earlier work this paper cites.
The future of interactive systems and the emergence of direct manipulation
Ben Shneiderman. 1982 · 1982
Earlier work this paper cites.
Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research
Sandra G Hart and Lowell E Staveland. 1988 · 1988
Earlier work this paper cites.
Design galleries: a general approach to setting parameters for computer graphics and animation. In Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH ’97) . ACM Press/Addison-Wesley Publishing Co., USA, 389–400
J. Marks, B. Andalman, P. A. Beardsley, W. Freeman, S. Gibson, J. Hodgins, T. Kang, B. Mirtich, H. Pfister, W. Ruml, K. Ryall, J. Seims, and S. Shieber. 1997 · 1997
Earlier work this paper cites.
Principles of mixed-initiative user interfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’99) . Association for Computing Machinery, New York, NY, USA, 159–166
Eric Horvitz. 1999 · 1999
Earlier work this paper cites.
Six Learning Barriers in End-User Programming Systems. In 2004 IEEE Symposium on Visual Languages-Human Centric Computing . IEEE, 199–206
Amy J Ko, Brad A Myers, and Htet Htet Aung. 2004 · 2004
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli. 2004 · 2004
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al · 2011
Earlier work this paper cites.
Attribit: content creation with semantic attributes. In Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology (UIST ’13) . Association for Computing Machinery, New York, NY, USA, 193–202
Siddhartha Chaudhuri, Evangelos Kalogerakis, Stephen Giguere, and Thomas Funkhouser. 2013 · 2013
Earlier work this paper cites.
Generative Adversarial Nets. In Advances in Neural Information Processing Systems , Z. Ghahramani, M. Welling, C. Cortes, N. Lawrence, and K.Q. Weinberger (Eds.), Vol. 27. Curran Associates, Inc
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
DRAW: A Recurrent Neural Network For Image Generation. In Proceedings of the 32nd International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 37) , Francis Bach and David Blei (Eds.). PMLR, Lille, France, 1462–1471
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende, and Daan Wierstra. 2015 · 2015
Earlier work this paper cites.
Generating Images from Captions with Attention
Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba, and Ruslan Salakhutdinov. 2015 · 2015
Earlier work this paper cites.
Semantic shape editing using deformation handles
Mehmet Ersin Yumer, Siddhartha Chaudhuri, Jessica K. Hodgins, and Levent Burak Kara. 2015 · 2015
Earlier work this paper cites.
GEM-NI: A System for Creating and Managing Alternatives In Generative Design. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15) . Association for Computing Machinery, New York, NY, USA, 1201–1210
Loutfouz Zaman, Wolfgang Stuerzlinger, Christian Neugebauer, Rob Woodbury, Maher Elkhaldi, Naghmi Shireen, and Michael Terry. 2015 · 2015
Earlier work this paper cites.
Generative Adversarial Text to Image Synthesis. In Proceedings of The 33rd International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 48) , Maria Florina Balcan and Kilian Q. Weinberger (Eds.). PMLR, New York, New York, USA, 1060–1069
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee. 2016 · 2016
Earlier work this paper cites.
"Why Should I Trust You?": Explaining the Predictions of Any Classifier. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (KDD ’16) . Association for Computing Machinery, New York, NY, USA, 1135–1144
Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin. 2016 · 2016
Earlier work this paper cites.
DreamSketch: Early Stage 3D Design Explorations with Sketching and Generative Design. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (UIST ’17) . Association for Computing Machinery, New York, NY, USA, 401–414
Rubaiat Habib Kazi, Tovi Grossman, Hyunmin Cheong, Ali Hashemi, and George Fitzmaurice. 2017 · 2017
Earlier work this paper cites.
A Unified Approach to Interpreting Model Predictions. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
Scott M Lundberg and Su-In Lee. 2017 · 2017
Earlier work this paper cites.
Attention is All you Need. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Earlier work this paper cites.
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks. In Proceedings of the IEEE International Conference on Computer Vision (ICCV) . 5907–5915
Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, and Dimitris N Metaxas. 2017 · 2017
Earlier work this paper cites.
Forte: User-Driven Generative Design. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18) . Association for Computing Machinery, New York, NY, USA, 1–12
Xiang ’Anthony’ Chen, Ye Tao, Guanyun Wang, Runchang Kang, Tovi Grossman, Stelian Coros, and Scott E. Hudson. 2018 · 2018
Earlier work this paper cites.
A Review of User Interface Design for Interactive Machine Learning
John J. Dudley and Per Ola Kristensson. 2018 · 2018
Earlier work this paper cites.
Dream Lens: Exploration and Visualization of Large-Scale Generative Design Datasets. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18) . Association for Computing Machinery, New York, NY, USA, 1–12
Justin Matejka, Michael Glueck, Erin Bradner, Ali Hashemi, Tovi Grossman, and George Fitzmaurice. 2018 · 2018
Earlier work this paper cites.
Guidelines for Human-AI Interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19) . Association for Computing Machinery, New York, NY, USA, 1–13
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. 2019 · 2019
Cited alongside, same era.
Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19) . Association for Computing Machinery, New York, NY, USA, 1–14
Carrie J. Cai, Emily Reif, Narayan Hegde, Jason Hipp, Been Kim, Daniel Smilkov, Martin Wattenberg, Fernanda Viegas, Greg S. Corrado, Martin C. Stumpe, and Michael Terry. 2019a · 2019
Cited alongside, same era.
"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making
Carrie J. Cai, Samantha Winter, David Steiner, Lauren Wilcox, and Michael Terry. 2019b · 2019
Cited alongside, same era.
Controllable Text-to-Image Generation. In Advances in Neural Information Processing Systems , H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, and R. Garnett (Eds.), Vol. 32. Curran Associates, Inc
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, and Alexander M Rush. 2022 · 2022
Later among the works it cites.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Later among the works it cites.
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 385, 22 pages
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022b · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, and Philip Torr. 2019 · 2019
Cited alongside, same era.
Human-AI Collaboration in Data Science: Exploring Data Scientists’ Perceptions of Automated AI
Dakuo Wang, Justin D. Weisz, Michael Muller, Parikshit Ram, Werner Geyer, Casey Dugan, Yla Tausczik, Horst Samulowitz, and Alexander Gray. 2019 · 2019
Cited alongside, same era.
Questioning the AI: Informing Design Practices for Explainable AI User Experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) . Association for Computing Machinery, New York, NY, USA, 1–15
Q. Vera Liao, Daniel Gruen, and Sarah Miller. 2020 · 2020
Cited alongside, same era.
Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20) . Association for Computing Machinery, New York, NY, USA, 1–13
Ryan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry, and Carrie J. Cai. 2020 · 2020
Cited alongside, same era.
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Online, 4222–4235
Taylor Shin, Yasaman Razeghi, Robert L Logan IV, Eric Wallace, and Sameer Singh. 2020 · 2020
Cited alongside, same era.
Ecco: An open source library for the explainability of transformer language models. In Proceedings of the 59th annual meeting of the association for computational linguistics and the 11th international joint conference on natural language processing: System demonstrations . Association for Computational Linguistics, Online, 249–257
J Alammar. 2021 · 2021
Cited alongside, same era.
VisiFit: Structuring Iterative Improvement for Novice Designers. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21) . Association for Computing Machinery, New York, NY, USA, Article 574, 14 pages
Lydia B Chilton, Ecenaz Jen Ozmen, Sam H Ross, and Vivian Liu. 2021 · 2021
Cited alongside, same era.
CogView: Mastering Text-to-Image Generation via Transformers. In Advances in Neural Information Processing Systems , M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan (Eds.), Vol. 34. Curran Associates, Inc., 19822–19835
Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, and Jie Tang. 2021 · 2021
Cited alongside, same era.
Taming Transformers for High-Resolution Image Synthesis. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 12873–12883
Patrick Esser, Robin Rombach, and Bjorn Ommer. 2021 · 2021
Cited alongside, same era.
FlatMagic: Improving Flat Colorization through AI-driven Design for Digital Comic Professionals. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 380, 17 pages
Chuan Yan, John Joon Young Chung, Yoon Kiheon, Yotam Gingold, Eytan Adar, and Sungsoo Ray Hong. 2022 · 2022
Later among the works it cites.
Stable Diffusion Web UI
2023 · 2023
Later among the works it cites.
Grounded Copilot: How Programmers Interact with Code-Generating Models
Shraddha Barke, Michael B. James, and Nadia Polikarpova. 2023 · 2023
Later among the works it cites.
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23) . Association for Computing Machinery, New York, NY, USA, Article 96, 14 pages
Stephen Brade, Bryan Wang, Mauricio Sousa, Sageev Oore, and Tovi Grossman. 2023 · 2023
Later among the works it cites.
PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST ’23) . Association for Computing Machinery, New York, NY, USA, Article 6, 17 pages
John Joon Young Chung and Eytan Adar. 2023 · 2023
Later among the works it cites.
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 19, 15 pages
Noyan Evirgen and Xiang ’Anthony Chen. 2023 · 2023
Later among the works it cites.
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong, Sijia Wang, Yuhong Lu, Minfeng Zhu, Baicheng Wang, and Wei Chen. 2024 · 2023
Later among the works it cites.
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 6957–6966
Noa Garcia, Yusuke Hirota, Yankun Wu, and Yuta Nakashima. 2023 · 2023
Later among the works it cites.
Efficient Human-in-the-loop System for Guiding DNNs Attention. In Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI ’23) . Association for Computing Machinery, New York, NY, USA, 294–306
Yi He, Xi Yang, Chia-Ming Chang, Haoran Xie, and Takeo Igarashi. 2023 · 2023
Later among the works it cites.
Large-scale Text-to-Image Generation Models for Visual Artists’ Creative Works. In Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI ’23) . Association for Computing Machinery, New York, NY, USA, 919–933
Hyung-Kwon Ko, Gwanmo Park, Hyeon Jeon, Jaemin Jo, Juho Kim, and Jinwook Seo. 2023 · 2023
Later among the works it cites.
Bonan Kou, Shengmai Chen, Zhijie Wang, Lei Ma, and Tianyi Zhang. 2023 · 2023
Later among the works it cites.
On the Design of AI-powered Code Assistants for Notebooks. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 434, 16 pages
Andrew M Mcnutt, Chenglong Wang, Robert A Deline, and Steven M. Drucker. 2023 · 2023
Later among the works it cites.
What the DAAM: Interpreting Stable Diffusion Using Cross Attention. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, 5644–5659
Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, and Ferhan Ture. 2023 · 2023
Later among the works it cites.
PopBlends: Strategies for Conceptual Blending with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 435, 19 pages
Sitong Wang, Savvas Petridis, Taeahn Kwon, Xiaojuan Ma, and Lydia B Chilton. 2023b · 2023
Later among the works it cites.
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 22, 29 pages
Yunlong Wang, Shuyuan Shen, and Brian Y Lim. 2023c · 2023
Later among the works it cites.
Toward General Design Principles for Generative AI Applications
Justin D Weisz, Michael Muller, Jessica He, and Stephanie Houde. 2023 · 2023
Later among the works it cites.
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, and Tom Goldstein. 2023 · 2023
Later among the works it cites.
Tree of Thoughts: Deliberate Problem Solving with Large Language Models. In Thirty-seventh Conference on Neural Information Processing Systems
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
Later among the works it cites.
Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 437, 21 pages
JD Zamfirescu-Pereira, Richmond Y Wong, Bjoern Hartmann, and Qian Yang. 2023 · 2023
Later among the works it cites.
Best Prompts for Text-to-Image Models and How to Find Them. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’23) . Association for Computing Machinery, New York, NY, USA, 2067–2071
Nikita Pavlichenko and Dmitry Ustalov. 2023 · 2071
Closest in time.