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The task of estimating the world model describing the dynamics of a real world process assumes immense importance for anticipating and preparing for future outcomes.
A fast algorithm for nonlinearly constrained optimization calculations
Michael JD Powell · 2006
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Rate bounds on ssim index of quantized images
Sumohana S Channappayya, Alan Conrad Bovik, and Robert W Heath · 2008
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Box2d for Flash Games
Emanuele Feronato · 2012
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Parallel l-bfgs-b algorithm on gpu
Yun Fei, Guodong Rong, Bin Wang, and Wenping Wang · 2014
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Car that knows before you do: Anticipating maneuvers via learning temporal driving models
Ashesh Jain, Hema S Koppula, Bharad Raghavan, Shane Soh, and Ashutosh Saxena · 2015
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Galileo: Perceiving physical object properties by integrating a physics engine with deep learning
Jiajun Wu, Ilker Yildirim, Joseph J Lim, Bill Freeman, and Josh Tenenbaum · 2015
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Stochastic variational video prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H Campbell, and Sergey Levine · 2017
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Stochastic video generation with a learned prior
Emily Denton and Rob Fergus · 2018
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Background modeling and referencing for moving cameras-captured surveillance video coding in hevc
Gang Wang, Bo Li, Yongfei Zhang, and Jinhui Yang · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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A hierarchical variational neural uncertainty model for stochastic video prediction
Moitreya Chatterjee, Narendra Ahuja, and Anoop Cherian · 2021
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Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model
Ho Kei Cheng and Alexander G Schwing · 2022
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Latent video diffusion models for high-fidelity video generation with arbitrary lengths
Yingqing He, Tianyu Yang, Yong Zhang, Ying Shan, and Qifeng Chen · 2022
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Video diffusion models
Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Diffusion models for video prediction and infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, and Andrea Dittadi · 2022
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Sinfusion: Training diffusion models on a single image or video
Yaniv Nikankin, Niv Haim, and Michal Irani · 2022
Cited alongside, same era.
Video probabilistic diffusion models in projected latent space
Sihyun Yu, Kihyuk Sohn, Subin Kim, and Jinwoo Shin · 2023
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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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Llmphy: Complex physical reasoning using large language models and world models
Anoop Cherian, Radu Corcodel, Siddarth Jain, and Diego Romeres · 2024
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How far is video generation from world model: A physical law perspective
Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, and Jiashi Feng · 2024
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Physgen: Rigid-body physics-grounded image-to-video generation
Shaowei Liu, Zhongzheng Ren, Saurabh Gupta, and Shenlong Wang · 2024
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Cited alongside, same era.
Stable video diffusion: Scaling latent video diffusion models to large datasets
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, et al · 2023
Cited alongside, same era.
Interpretable machine learning for science with pysr and symbolicregression. jl
Miles Cranmer · 2023
Cited alongside, same era.
Dreamcoder: growing generalizable, interpretable knowledge with wake–sleep bayesian program learning
Kevin Ellis, Lionel Wong, Maxwell Nye, Mathias Sable-Meyer, Luc Cary, Lore Anaya Pozo, Luke Hewitt, Armando Solar-Lezama, and Joshua B Tenenbaum · 2023
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Vdt: An empirical study on video diffusion with transformers
Haoyu Lu, Guoxing Yang, Nanyi Fei, Yuqi Huo, Zhiwu Lu, Ping Luo, and Mingyu Ding · 2023
Cited alongside, same era.
Moso: Decomposing motion, scene and object for video prediction
Mingzhen Sun, Weining Wang, Xinxin Zhu, and Jing Liu · 2023
Cited alongside, same era.
Ti2v-zero: Zero-shot image conditioning for text-to-video diffusion models
Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X Huang, and Tim K Marks · 2024
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Grounded sam: Assembling open-world models for diverse visual tasks
Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, et al · 2024
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Llm-sr: Scientific equation discovery via programming with large language models
Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, and Chandan K Reddy · 2024
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Hao Tang, Darren Key, and Kevin Ellis · 2024
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https://gymnasium.farama.org/index.html
Open ai gym · 2025
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