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Recent advancements in image and video synthesis have opened up new promise in generative games.
Finite and infinite games: A vision of life as play and possibility.[kindle ipad version]
JP Carse · 1986
Earlier work this paper cites.
Ai-based game design: Enabling new playable experiences
Mirjam P Eladhari, Anne Sullivan, Gillian Smith, and Josh McCoy · 2011
Earlier work this paper cites.
Game-o-matic: Generating videogames that represent ideas
Mike Treanor, Bryan Blackford, Michael Mateas, and Ian Bogost · 2012
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The future of procedural content generation in games
Gillian Smith · 2014
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Experiments in map generation using markov chains
Sam Snodgrass and Santiago Ontañón · 2014
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Ai-based game design patterns
Mike Treanor, Alexander Zook, Mirjam P Eladhari, Julian Togelius, Gillian Smith, Michael Cook, Tommy Thompson, Brian Magerko, John Levine, and Adam Smith · 2015
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Game level generation from gameplay videos
Matthew Guzdial and Mark Riedl · 2016
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Gaussian error linear units (gelus)
Dan Hendrycks and Kevin Gimpel · 2016
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Procedural content generation in games
Noor Shaker, Julian Togelius, and Mark J Nelson · 2016
Earlier work this paper cites.
Learning to generate video game maps using markov models
Sam Snodgrass and Santiago Ontanón · 2016
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Super mario as a string: Platformer level generation via lstms
Adam Summerville and Michael Mateas · 2016
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General video game rule generation
Ahmed Khalifa, Michael Cerny Green, Diego Perez-Liebana, and Julian Togelius · 2017
Earlier work this paper cites.
Exploring novel game spaces with fluidic games
Swen E Gaudl, Mark J Nelson, Simon Colton, Rob Saunders, Edward J Powley, Peter Ivey, Blanca Pérez Ferrer, and Michael Cook · 2018
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Automated game design via conceptual expansion
Matthew Guzdial and Mark Riedl · 2018
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Blending levels from different games using lstms
Anurag Sarkar and Seth Cooper · 2018
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Procedural content generation via machine learning (pcgml)
Adam Summerville, Sam Snodgrass, Matthew Guzdial, Christoffer Holmgård, Amy K Hoover, Aaron Isaksen, Andy Nealen, and Julian Togelius · 2018
Earlier work this paper cites.
Evolving mario levels in the latent space of a deep convolutional generative adversarial network
Vanessa Volz, Jacob Schrum, Jialin Liu, Simon M Lucas, Adam Smith, and Sebastian Risi · 2018
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Generating game levels for multiple distinct games with a common latent space
Vikram Kumaran, Bradford Mott, and James Lester · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
Learning to simulate dynamic environments with gamegan
Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, and Sanja Fidler · 2020
Earlier work this paper cites.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
Earlier work this paper cites.
Frozen in time: A joint video and image encoder for end-to-end retrieval
Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman · 2021
Earlier work this paper cites.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Earlier work this paper cites.
Conceptual game expansion
Matthew Guzdial and Mark O Riedl · 2021
Earlier work this paper cites.
Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Earlier work this paper cites.
Deep learning for procedural content generation
Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N Yannakakis, and Julian Togelius · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Toad-gan: a flexible framework for few-shot level generation in token-based games
Frederik Schubert, Maren Awiszus, and Bodo Rosenhahn · 2021
Cited alongside, same era.
Minedojo: Building open-ended embodied agents with internet-scale knowledge
Linxi Fan, Guanzhi Wang, Yunfan Jiang, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu, and Anima Anandkumar · 2022
Cited alongside, same era.
Animeceleb: Large-scale animation celebheads dataset for head reenactment
Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, and Jaegul Choo · 2022
Cited alongside, same era.
Gamegen-x: Interactive open-world game video generation
Haoxuan Che, Xuanhua He, Quande Liu, Cheng Jin, and Hao Chen · 2024
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Patchview: Llm-powered worldbuilding with generative dust and magnet visualization
John Joon Young Chung and Max Kreminski · 2024
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Memflow: Optical flow estimation and prediction with memory
Qiaole Dong and Yanwei Fu · 2024
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Divot: Diffusion powers video tokenizer for comprehension and generation
Yuying Ge, Yizhuo Li, Yixiao Ge, and Ying Shan · 2024
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Game generation via large language models
Chengpeng Hu, Yunlong Zhao, and Jialin Liu · 2024
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Animerun: 2d animation visual correspondence from open source 3d movies
Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, and Chen Change Loy · 2022
Cited alongside, same era.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2023
Cited alongside, same era.
A comparison of traditional game design vs. ai-driven game design
Taha-Yassine Ennabili · 2023
Cited alongside, same era.
Dreamsim: Learning new dimensions of human visual similarity using synthetic data
Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, and Phillip Isola · 2023
Cited alongside, same era.
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, and Bo Dai · 2023
Cited alongside, same era.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
Cited alongside, same era.
Lyfe agents: Generative agents for low-cost real-time social interactions
Zhao Kaiya, Michelangelo Naim, Jovana Kondic, Manuel Cortes, Jiaxin Ge, Shuying Luo, Guangyu Robert Yang, and Andrew Ahn · 2023
Cited alongside, same era.
Yudong Jiang, Baohan Xu, Siqian Yang, Mingyu Yin, Jing Liu, Chao Xu, Siqi Wang, Yidi Wu, Bingwen Zhu, Jixuan Xu, et al · 2024
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Unbounded: A generative infinite game of character life simulation
Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E Jacobs, Michael Rubinstein, Mohit Bansal, and Nataniel Ruiz · 2024
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Rl-gpt: Integrating reinforcement learning and code-as-policy
Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, and Jiaya Jia · 2024
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Videodrafter: Content-consistent multi-scene video generation with llm
Fuchen Long, Zhaofan Qiu, Ting Yao, and Tao Mei · 2024
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Sakuga-42m dataset: Scaling up cartoon research
Zhenglin Pan, Yu Zhu, and Yuxuan Mu · 2024
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Timechat: A time-sensitive multimodal large language model for long video understanding
Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, and Lu Hou · 2024
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Mariogpt: Open-ended text2level generation through large language models
Shyam Sudhakaran, Miguel González-Duque, Matthias Freiberger, Claire Glanois, Elias Najarro, and Sebastian Risi · 2024
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai, Anmol Gulati, Garrett Tanzer, Damien Vincent, Zhufeng Pan, Shibo Wang, et al · 2024
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Diffusion models are real-time game engines
Dani Valevski, Yaniv Leviathan, Moab Arar, and Shlomi Fruchter · 2024
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Autostory: Generating diverse storytelling images with minimal human efforts
Wen Wang, Canyu Zhao, Hao Chen, Zhekai Chen, Kecheng Zheng, and Chunhua Shen · 2024
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Pandora: Towards general world model with natural language actions and video states
Jiannan Xiang, Guangyi Liu, Yi Gu, Qiyue Gao, Yuting Ning, Yuheng Zha, Zeyu Feng, Tianhua Tao, Shibo Hao, Yemin Shi, et al · 2024
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Dreamanime: Learning style-identity textual disentanglement for anime and beyond
Chenshu Xu, Yangyang Xu, Huaidong Zhang, Xuemiao Xu, and Shengfeng He · 2024
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Envgen: Generating and adapting environments via llms for training embodied agents
Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, and Mohit Bansal · 2024
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Moviedreamer: Hierarchical generation for coherent long visual sequence
Canyu Zhao, Mingyu Liu, Wen Wang, Weihua Chen, Fan Wang, Hao Chen, Bo Zhang, and Chunhua Shen · 2024
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Dreamstory: Open-domain story visualization by llm-guided multi-subject consistent diffusion, 2025
Huiguo He, Huan Yang, Zixi Tuo, Yuan Zhou, Qiuyue Wang, Yuhang Zhang, Zeyu Liu, Wenhao Huang, Hongyang Chao, and Jian Yin · 2025
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Object isolated attention for consistent story visualization, 2025
Xiangyang Luo, Junhao Cheng, Yifan Xie, Xin Zhang, Tao Feng, Zhou Liu, Fei Ma, and Fei Yu · 2025
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Videoauteur: Towards long narrative video generation
Junfei Xiao, Feng Cheng, Lu Qi, Liangke Gui, Jiepeng Cen, Zhibei Ma, Alan Yuille, and Lu Jiang · 2025
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Gamefactory: Creating new games with generative interactive videos
Jiwen Yu, Yiran Qin, Xintao Wang, Pengfei Wan, Di Zhang, and Xihui Liu · 2025
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Storydiffusion: Consistent self-attention for long-range image and video generation
Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, and Qibin Hou · 2025
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