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Recent advancements in world models have revolutionized dynamic environment simulation, allowing systems to foresee future states and assess potential actions.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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GANs trained by a two time-scale update rule converge to a local Nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Towards accurate generative models of video: A new metric & challenges
Thomas Unterthiner, Sjoerd Steenkiste, Karol Kurach, Raphael Marinier, Marcin Michalski, and Sylvain Gelly · 2018
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Pointrnn: Point recurrent neural network for moving point cloud processing
Hehe Fan and Yi Yang · 2019
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nuScenes: A Multimodal Dataset for Autonomous Driving
Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yuxin Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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DriveGAN: Towards a Controllable High-Quality Neural Simulation
Seung Wook Kim, Jonah Philion, Antonio Torralba, and Sanja Fidler · 2021
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Monet: Motion-based point cloud prediction network
Fan Lu, Guang Chen, Zhijun Li, Lijun Zhang, Yinlong Liu, Sanqing Qu, and Alois Knoll · 2021
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2021
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Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi, and David J Fleet · 2022
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Cogvideo: Large-scale pretraining for text-to-video generation via transformers
Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, and Jie Tang · 2022
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Differentiable raycasting for self-supervised occupancy forecasting
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, and Deva Ramanan · 2022
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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
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Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis · 2023
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Align your latents: High-resolution video synthesis with latent diffusion models
Andreas Blattmann, Robin Rombach, Huan Ling, Tim Dockhorn, Seung Wook Kim, Sanja Fidler, and Karsten Kreis · 2023
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Muvo: A multimodal generative world model for autonomous driving with geometric representations
Daniel Bogdoll, Yitian Yang, and J Marius Zöllner · 2023
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Structure and content-guided video synthesis with diffusion models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, and Anastasis Germanidis · 2023
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Gaia-1: A generative world model for autonomous driving
Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, and Gianluca Corrado · 2023
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GAIA-1: A Generative World Model for Autonomous Driving
Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, and Gianluca Corrado · 2023
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Vad: Vectorized scene representation for autonomous driving
Bencheng Huang, Shaoyu Liu, Tianheng Chen, Xinggang Shen, Zeming Zhu, Zhe Wang, et al · 2023
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Neural lidar fields for novel view synthesis
Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, and Or Litany · 2023
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Xiaofan Li, Yifu Zhang, and Xiaoqing Ye · 2023
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Gligen: Open-set grounded text-to-image generation
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, and Yong Jae Lee · 2023
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Latent-nerf for shape-guided generation of 3d shapes and textures
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, and Daniel Cohen-Or · 2023
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Dust3r: Geometric 3d vision made easy
Jérôme Revaud, Vincent Leroy, Philippe Weinzaepfel, Boris Chidlovskii, and Gabriela Csurka · 2023
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ModelScope Text-to-Video Technical Report
Jiuniu Wang, Hangjie Yuan, Dayou Chen, Yingya Zhang, Xiang Wang, and Shiwei Zhang · 2023
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MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Zhouxia Wang, Ziyang Yuan, Xintao Wang, Tianshui Chen, Menghan Xia, Ping Luo, and Ying Shan · 2023
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Fast point cloud generation with straight flows
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, and Qiang Liu · 2023
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Dynamicrafter: Animating open-domain images with video diffusion priors
Jinbo Xing, Menghan Xia, Yong Zhang, Haoxin Chen, Xintao Wang, Tien-Tsin Wong, and Ying Shan · 2023
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Dragnuwa: Fine-grained control in video generation by integrating text, image, and trajectory
Shengming Yin, Chenfei Wu, Jian Liang, Jie Shi, Houqiang Li, Gong Ming, and Nan Duan · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
Cited alongside, same era.
Act-bench: Towards action controllable world models for autonomous driving, 2024
Hidehisa Arai, Keishi Ishihara, Tsubasa Takahashi, and Yu Yamaguchi · 2024
Cited alongside, same era.
Training-free regional prompting for diffusion transformers, 2024
Anthony Chen, Jianjin Xu, Wenzhao Zheng, Gaole Dai, Yida Wang, Renrui Zhang, Haofan Wang, and Shanghang Zhang · 2024
Cited alongside, same era.
Eva: An embodied world model for future video anticipation, 2024
Xiaowei Chi, Hengyuan Zhang, Chun-Kai Fan, Xingqun Qi, Rongyu Zhang, Anthony Chen, Chi min Chan, Wei Xue, Wenhan Luo, Shanghang Zhang, and Yike Guo · 2024
Cited alongside, same era.
Cardreamer: Open-source learning platform for world model based autonomous driving
Dechen Gao, Shuangyu Cai, Hanchu Zhou, Hang Wang, Iman Soltani, and Junshan Zhang · 2024
Cited alongside, same era.
Drivingdojo dataset: Advancing interactive and knowledge-enriched driving world model
Yuqi Wang, Ke Cheng, Jiawei He, Qitai Wang, Hengchen Dai, Yuntao Chen, Fei Xia, and Zhaoxiang Zhang · 2024
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Occllama: An occupancy-language-action generative world model for autonomous driving
Julong Wei, Shanshuai Yuan, Pengfei Li, Qingda Hu, Zhongxue Gan, and Wenchao Ding · 2024
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Holodrive: Holistic 2d-3d multi-modal street scene generation for autonomous driving
Zehuan Wu, Jingcheng Ni, Xiaodong Wang, Yuxin Guo, Rui Chen, Lewei Lu, Jifeng Dai, and Yuwen Xiong · 2024
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Tooncrafter: Generative cartoon interpolation
Jinbo Xing, Hanyuan Liu, Menghan Xia, Yong Zhang, Xintao Wang, Ying Shan, and Tien-Tsin Wong · 2024
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Vista: A generalizable driving world model with high fidelity and versatile controllability
Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, and Hongyang Li · 2024
Cited alongside, same era.
Imagine-2-drive: High-fidelity world modeling in carla for autonomous vehicles
Anant Garg and K Madhava Krishna · 2024
Cited alongside, same era.
Dome: Taming diffusion model into high-fidelity controllable occupancy world model
Songen Gu, Wei Yin, Bu Jin, Xiaoyang Guo, Junming Wang, Haodong Li, Qian Zhang, and Xiaoxiao Long · 2024
Cited alongside, same era.
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, and Bo Dai · 2024
Cited alongside, same era.
Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, et al · 2024
Cited alongside, same era.
Cameractrl: Enabling camera control for text-to-video generation
Hao He, Yinghao Xu, Yuwei Guo, Gordon Wetzstein, Bo Dai, Hongsheng Li, and Ceyuan Yang · 2024
Cited alongside, same era.
Drivingworld: Constructingworld model for autonomous driving via video gpt
Xiaotao Hu, Wei Yin, Mingkai Jia, Junyuan Deng, Xiaoyang Guo, Qian Zhang, Xiaoxiao Long, and Ping Tan · 2024
Cited alongside, same era.
Make-your-video: Customized video generation using textual and structural guidance
Jinbo Xing, Menghan Xia, Yuxin Liu, Yuechen Zhang, Yong Zhang, Yingqing He, Hanyuan Liu, Haoxin Chen, Xiaodong Cun, Xintao Wang, et al · 2024
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Camco: Camera-controllable 3d-consistent image-to-video generation
Dejia Xu, Weili Nie, Chao Liu, Sifei Liu, Jan Kautz, Zhangyang Wang, and Arash Vahdat · 2024
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Drivingsphere: Building a high-fidelity 4d world for closed-loop simulation
Tianyi Yan, Dongming Wu, Wencheng Han, Junpeng Jiang, Xia Zhou, Kun Zhan, Cheng-zhong Xu, and Jianbing Shen · 2024
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Street gaussians: Modeling dynamic urban scenes with gaussian splatting
Yunzhi Yan, Haotong Lin, Chenxu Zhou, Weijie Wang, Haiyang Sun, Kun Zhan, Xianpeng Lang, Xiaowei Zhou, and Sida Peng · 2024
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Renderworld: World model with self-supervised 3d label
Ziyang Yan, Wenzhen Dong, Yihua Shao, Yuhang Lu, Liu Haiyang, Jingwen Liu, Haozhe Wang, Zhe Wang, Yan Wang, Fabio Remondino, et al · 2024
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Generalized Predictive Model for Autonomous Driving
Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, and Hongyang Li · 2024
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Drivearena: A closed-loop generative simulation platform for autonomous driving
Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, et al · 2024
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Visual point cloud forecasting enables scalable autonomous driving
Zetong Yang, Li Chen, Yanan Sun, and Hongyang Li · 2024
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Cogvideox: Text-to-video diffusion models with an expert transformer
Zhuoyi Yang, Jiayan Teng, Wendi Zheng, Ming Ding, Shiyu Huang, Jiazheng Xu, Yuanming Yang, Wenyi Hong, Xiaohan Zhang, Guanyu Feng, et al · 2024
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Nerf-lidar: Generating realistic lidar point clouds with neural radiance fields
Junge Zhang, Feihu Zhang, Shaochen Kuang, and Li Zhang · 2024
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Monst3r: A simple approach for estimating geometry in the presence of motion
Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, and Ming-Hsuan Yang · 2024
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Copilot4d: Learning unsupervised world models for autonomous driving via discrete diffusion
Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, and Raquel Urtasun · 2024
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Bevworld: A multimodal world model for autonomous driving via unified bev latent space
Yumeng Zhang, Shi Gong, Kaixin Xiong, Xiaoqing Ye, Xiao Tan, Fan Wang, Jizhou Huang, Hua Wu, and Haifeng Wang · 2024
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Drivedreamer4d: World models are effective data machines for 4d driving scene representation
Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang, Yida Wang, Guan Huang, Xinze Chen, Boyuan Wang, Youyi Zhang, et al · 2024
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DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
Guosheng Zhao, Xiaofeng Wang, Zheng Zhu, Xinze Chen, Guan Huang, Xiaoyi Bao, and Xingang Wang · 2024
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Doe-1: Closed-loop autonomous driving with large world model
Wenzhao Zheng, Zetian Xia, Yuanhui Huang, Sicheng Zuo, Jie Zhou, and Jiwen Lu · 2024
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Simgen: Simulator-conditioned driving scene generation
Yunsong Zhou, Michael Simon, Zhenghao Peng, Sicheng Mo, Hongzi Zhu, Minyi Guo, and Bolei Zhou · 2024
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Gaussianworld: Gaussian world model for streaming 3d occupancy prediction
Sicheng Zuo, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, and Jiwen Lu · 2024
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Videopainter: Any-length video inpainting and editing with plug-and-play context control, 2025
Yuxuan Bian, Zhaoyang Zhang, Xuan Ju, Mingdeng Cao, Liangbin Xie, Ying Shan, and Qiang Xu · 2025
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Vdt-auto: End-to-end autonomous driving with vlm-guided diffusion transformers, 2025
Ziang Guo, Konstantin Gubernatorov, Selamawit Asfaw, Zakhar Yagudin, and Dzmitry Tsetserukou · 2025
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Neural volumetric world models for autonomous driving
Zanming Huang, Jimuyang Zhang, and Eshed Ohn-Bar · 2025
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Wovogen: World volume-aware diffusion for controllable multi-camera driving scene generation
Jiachen Lu, Ze Huang, Zeyu Yang, Jiahui Zhang, and Li Zhang · 2025
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Gaia-2: A controllable multi-view generative world model for autonomous driving, 2025
Lloyd Russell, Anthony Hu, Lorenzo Bertoni, George Fedoseev, Jamie Shotton, Elahe Arani, and Gianluca Corrado · 2025
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Sce2drivex: A generalized mllm framework for scene-to-drive learning, 2025
Rui Zhao, Qirui Yuan, Jinyu Li, Haofeng Hu, Yun Li, Chengyuan Zheng, and Fei Gao · 2025
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Occworld: Learning a 3d occupancy world model for autonomous driving
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, and Jiwen Lu · 2025
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Opendrivevla: Towards end-to-end autonomous driving with large vision language action model, 2025
Xingcheng Zhou, Xuyuan Han, Feng Yang, Yunpu Ma, and Alois C. Knoll · 2025
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