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We present a method for generating Streetscapes-long sequences of views through an on-the-fly synthesized city-scale scene.
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Repaint: Inpainting using denoising diffusion probabilistic models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 11461–11471
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Point-e: A system for generating 3d point clouds from complex prompts
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High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 10684–10695
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Phenaki: Variable length video generation from open domain textual description
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Novel View Synthesis with Diffusion Models
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Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation. In Proc. Conference on Computer Vision and Pattern Recognition (CVPR)
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DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. In ICCV
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, and Gordon Wetzstein. 2023 · 2023
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Persistent Nature: A Generative Model of Unbounded 3D Worlds. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, and Noah Snavely. 2023 · 2023
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Generative novel view synthesis with 3d-aware diffusion models
Eric R Chan, Koki Nagano, Matthew A Chan, Alexander W Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, and Gordon Wetzstein. 2023 · 2023
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Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, and Hao Su. 2023b · 2023
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LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes
Jaeyoung Chung, Suyoung Lee, Hyeongjin Nam, Jaerin Lee, and Kyoung Mu Lee. 2023 · 2023
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Objaverse-XL: A Universe of 10M+ 3D Objects
Matt Deitke, Ruoshi Liu, Matthew Wallingford, Huong Ngo, Oscar Michel, Aditya Kusupati, Alan Fan, Christian Laforte, Vikram Voleti, Samir Yitzhak Gadre, Eli VanderBilt, Aniruddha Kembhavi, Carl Vondrick, Georgia Gkioxari, Kiana Ehsani, Ludwig Schmidt, and Ali Farhadi. 2023 · 2023
Cited alongside, same era.
SceneScape: Text-Driven Consistent Scene Generation. In NeurIPS
Rafail Fridman, Amit Abecasis, Yoni Kasten, and Tali Dekel. 2023 · 2023
Cited alongside, same era.
Magicdrive: Street view generation with diverse 3d geometry control
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, and Qiang Xu. 2023 · 2023
Cited alongside, same era.
Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T Barron, Amit H Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, et al · 2023
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DreamFusion: Text-to-3D using 2D Diffusion. In The Eleventh International Conference on Learning Representations
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2023 · 2023
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The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Saurabh Saxena, Charles Herrmann, Junhwa Hur, Abhishek Kar, Mohammad Norouzi, Deqing Sun, and David J Fleet. 2023 · 2023
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ControlRoom3D: Room Generation using Semantic Proxy Rooms
Jonas Schult, Sam Tsai, Lukas Höllein, Bichen Wu, Jialiang Wang, Chih-Yao Ma, Kunpeng Li, Xiaofang Wang, Felix Wimbauer, Zijian He, Peizhao Zhang, Bastian Leibe, Peter Vajda, and Ji Hou. 2023 · 2023
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MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, and Xiao Yang. 2023 · 2023
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3D Neural Field Generation Using Triplane Diffusion. In Proc. Conference on Computer Vision and Pattern Recognition (CVPR)
J. Ryan Shue, Eric Ryan Chan, Ryan Po, Zachary Ankner, Jiajun Wu, and Gordon Wetzstein. 2023 · 2023
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Street-View Image Generation from a Bird’s-Eye View Layout
Alexander Swerdlow, Runsheng Xu, and Bolei Zhou. 2023 · 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 · 2023
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ReconFusion: 3D Reconstruction with Diffusion Priors
Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, and Aleksander Holynski. 2023b · 2023
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MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Hanshu Yan, Jia-Wei Liu, Chenxu Zhang, Jiashi Feng, and Mike Zheng Shou. 2023 · 2023
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Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, and Kaicheng Yu. 2023a · 2023
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WonderJourney: Going from Anywhere to Everywhere
Hong-Xing Yu, Haoyi Duan, Junhwa Hur, Kyle Sargent, Michael Rubinstein, William T Freeman, Forrester Cole, Deqing Sun, Noah Snavely, Jiajun Wu, et al · 2023
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Adding conditional control to text-to-image diffusion models. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 3836–3847
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala. 2023 · 2023
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Universal Guidance for Diffusion Models. In The Twelfth International Conference on Learning Representations
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Soumyadip Sengupta, Micah Goldblum, Jonas Geiping, and Tom Goldstein. 2024 · 2024
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Lumiere: A space-time diffusion model for video generation
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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 · 2024
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CAT3D: Create Anything in 3D with Multi-View Diffusion Models
Ruiqi Gao*, Aleksander Holynski*, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, and Ben Poole*. 2024 · 2024
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Sora Generates Videos with Stunning Geometrical Consistency
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DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model. In Proc. International Conference on Learning Representations (ICLR)
Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, and Kai Zhang. 2024 · 2024
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