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Yume aims to use images, text, or videos to create an interactive, realistic, and dynamic world, which allows exploration and control using peripheral devices or neural signals.
Optimal transport: old and new , volume 338
Cédric Villani et al · 2009
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics, 2015
Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Recurrent world models facilitate policy evolution
David Ha and Jürgen Schmidhuber · 2018
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
Imagen video: High definition video generation with diffusion models, 2022
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, and Tim Salimans · 2022
Earlier work this paper cites.
Flow straight and fast: Learning to generate and transfer data with rectified flow
Xingchao Liu, Chengyue Gong, and Qiang Liu · 2022
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Repaint: Inpainting using denoising diffusion probabilistic models
Andreas Lugmayr, Martin Danelljan, Andres Romero, Fisher Yu, Radu Timofte, and Luc Van Gool · 2022
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Earlier work this paper cites.
Zero-shot image restoration using denoising diffusion null-space model
Yinhuai Wang, Jiwen Yu, and Jian Zhang · 2022
Earlier work this paper cites.
Unimax: Fairer and more effective language sampling for large-scale multilingual pretraining
Hyung Won Chung, Noah Constant, Xavier Garcia, Adam Roberts, Yi Tay, Sharan Narang, and Orhan Firat · 2023
Earlier work this paper cites.
Masked diffusion transformer is a strong image synthesizer
Shanghua Gao, Pan Zhou, Ming-Ming Cheng, and Shuicheng Yan · 2023
Earlier work this paper cites.
Mastering diverse domains through world models
Danijar Hafner, Jurgis Pasukonis, Jimmy Ba, and Timothy Lillicrap · 2023
Earlier work this paper cites.
Consistency trajectory models: Learning probability flow ode trajectory of diffusion
Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, and Stefano Ermon · 2023
Earlier work this paper cites.
A diffusion model based quality enhancement method for HEVC compressed video, 2023
Zheng Liu and Lisong Wang · 2023
Earlier work this paper cites.
Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, and Yaniv Taigman · 2023
Earlier work this paper cites.
Consistency models
Yang Song, Prafulla Dhariwal, Mark Chen, and Ilya Sutskever · 2023
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Lumiere: A space-time diffusion model for video generation, 2024
Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Guanghui Liu, Amit Raj, Yuanzhen Li, Michael Rubinstein, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, and Inbar Mosseri · 2024
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Video generation models as world simulators
Tim Brooks, Bill Peebles, Connor Holmes, Will DePue, Yufei Guo, Li Jing, David Schnurr, Joe Taylor, Troy Luhman, Eric Luhman, Clarence Ng, Ricky Wang, and Aditya Ramesh · 2024
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Genie: Generative interactive environments
Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Stefan Bechtle, Sumit Bileschi, Sebastian Borgeaud, Stephanie Borja, Arun Byravan, Ken Caluwaerts, Marion Caron, Tiago Carvalho, Andrew Cassirer, Yiding Chen, Michele Covell, Silvia de Abreu, Andrew Fant, AMA Glaese, Tom Henighan, Lennon Hughes, Egle Kasinskaite, Cosmin Kema, Misha Kumar, Matt Kyle, Hubert Laur, Tom Lovitt, Elliot Rutherford, Maria Rutherford, Martin Salz, Laurent Sifre, John Simon, Oleksandr Smytnis, Tom Valdevit, Oriol Vinyals, Greg Wayne, Jonathan Zack, and Zhaosen Zhu · 2024
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Accelerating diffusion transformers with token-wise feature caching
Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, and Linfeng Zhang · 2024
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Cosmos world foundation model platform for physical ai
Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, et al · 2025
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Skyreels-v2: Infinite-length film generative model
Guibin Chen, Dixuan Lin, Jiangping Yang, Chunze Lin, Juncheng Zhu, Mingyuan Fan, Hao Zhang, Sheng Chen, Zheng Chen, Chengchen Ma, et al · 2025
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SIMA: A Scalable, Instructable Multiworld Agent
Google DeepMind · 2025
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LTX-Video: Realtime video latent diffusion, 2025
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Shuai Geng, Zexu Liu, Zuanbang Shang, Jinxiang Chai, Chen Change Loy, and Ziwei Liu · 2024
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CameraCtrl: Enabling camera control for text-to-video generation, 2024
Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai, Hongsheng Li, and Ceyuan Yang · 2024
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StreamingT2V: Consistent, dynamic, and extendable long video generation from text, 2024
Roberto Henschel, Levon Khachatryan, Hayk Poghosyan, Daniil Hayrapetyan, Vahram Tadevosyan, Zhangyang Wang, Shant Navasardyan, and Humphrey Shi · 2024
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Vbench: Comprehensive benchmark suite for video generative models
Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, et al · 2024
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Adaptive caching for faster video generation with diffusion transformers
Kumara Kahatapitiya, Haozhe Liu, Sen He, Ding Liu, Menglin Jia, Chenyang Zhang, Michael S Ryoo, and Tian Xie · 2024
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Timestep embedding tells: It’s time to cache for video diffusion model
Feng Liu, Shiwei Zhang, Xiaofeng Wang, Yujie Wei, Haonan Qiu, Yuzhong Zhao, Yingya Zhang, Qixiang Ye, and Fang Wan · 2024
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Hunyuanvideo: A systematic framework for large video generative models, 2024
Zhaoitem Ma, Yufei Liu, Lin Geng, Jiaxin Liu, Yaohua Tang, Ming Lu, Xinyuan Chen, Jingwen He, Zilong Huang, Fan Wen, Ping Li, Deliang Fan, Sitong Su, Kai Li, Can Wang, ShiFeng Zhang, Min Dou, Xiaoyi Dong, JiaLUnLiu, Boqin He, Yong He, Yang Song, Haibo E, Gang Yue, Yaokun Liu, Yixuan Liu, Songcen Xu, Shaoshuai Shi, Tao An, Chao Yang, Lin Cui, Libo Zhang, Dit-Yan Yeung, Yong Dou, Yujun Shen, Yu Qiao, and Tat-Seng Chua · 2024
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Mochi-diffusion-xl: An efficient model for high-resolution video generation, 2024
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Enhance-A-Video: Better generated video for free, 2025
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Osv: One step is enough for high-quality image to video generation
Xiaofeng Mao, Zhengkai Jiang, Fu-Yun Wang, Jiangning Zhang, Hao Chen, Mingmin Chi, Yabiao Wang, and Wenhan Luo · 2025
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Step-Video-T2V technical report: The practice, challenges, and future of video foundation model, 2025
The Step-Video-T2V Team · 2025
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Wan: Open and advanced large-scale video generative models
Team Wan, Ang Wang, Baole Ai, Bin Wen, Chaojie Mao, Chen-Wei Xie, Di Chen, Feiwu Yu, Haiming Zhao, Jianxiao Yang, et al · 2025
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Phased consistency models
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GAIA-1: A Generative AI Model for Autonomous Driving
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DAPE: Dual-stage parameter-efficient fine-tuning for consistent video editing with diffusion models, 2025
Junhao Xia, Shiyuan Yang, Hongbo Zhao, Xinyuan Chen, Di Zhang, Yake Wei, Ceyuan Yang, Yujun Shen, and Di Liu · 2025
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WORLDMEM: Long-term consistent world simulation with memory, 2025
Zeqi Xiao, Yushi Lan, Yifan Zhou, Wenqi Ouyang, Shuai Yang, Yanhong Zeng, and Xingang Pan · 2025
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FreqPrior: Improving video diffusion models with frequency filtering gaussian noise
Yunlong Yuan, Yuanfan Guo, Chunwei Wang, Wei Zhang, Hang Xu, and Li Zhang · 2025
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Packing input frame context in next-frame prediction models for video generation
Lvmin Zhang and Maneesh Agrawala · 2025
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Pengfei Zhou, Jie Xia, Xiaopeng Peng, Wangbo Zhao, Zilong Ye, Zekai Li, Suorong Yang, Jiadong Pan, Yuanxiang Chen, Ziqiao Wang, et al · 2025
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