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We present WonderWorld, a novel framework for interactive 3D scene generation that enables users to interactively specify scene contents and layout and see the created scenes in low latency.
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Jonathan Shade, Steven Gortler, Li-wei He, and Richard Szeliski · 1998
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Hanspeter Pfister, Matthias Zwicker, Jeroen Van Baar, and Markus Gross · 2000
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Infinite images: Creating and exploring a large photorealistic virtual space
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Layer-structured 3d scene inference via view synthesis
Shubham Tulsiani, Richard Tucker, and Noah Snavely · 2018
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Stereo magnification: Learning view synthesis using multiplane images
Tinghui Zhou, Richard Tucker, John Flynn, Graham Fyffe, and Noah Snavely · 2018
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3d ken burns effect from a single image
Simon Niklaus, Long Mai, Jimei Yang, and Feng Liu · 2019
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3d photography using context-aware layered depth inpainting
Meng-Li Shih, Shih-Yang Su, Johannes Kopf, and Jia-Bin Huang · 2020
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Grf: Learning a general radiance field for 3d scene representation and rendering
Alex Trevithick and Bo Yang · 2020
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Single-view view synthesis with multiplane images
Richard Tucker and Noah Snavely · 2020
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SynSin: End-to-end view synthesis from a single image
Olivia Wiles, Georgia Gkioxari, Richard Szeliski, and Justin Johnson · 2020
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Pixelnerf: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2020
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Unconstrained scene generation with locally conditioned radiance fields
Terrance DeVries, Miguel Angel Bautista, Nitish Srivastava, Graham W. Taylor, and Joshua M. Susskind · 2021
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Worldsheet: Wrapping the world in a 3d sheet for view synthesis from a single image
Ronghang Hu, Nikhila Ravi, Alexander C. Berg, and Deepak Pathak · 2021
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Infinite nature: Perpetual view generation of natural scenes from a single image
Andrew Liu, Richard Tucker, Varun Jampani, Ameesh Makadia, Noah Snavely, and Angjoo Kanazawa · 2021
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Learning transferable visual models from natural language supervision
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Gaudi: A neural architect for immersive 3d scene generation
Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev, Zhuoyuan Chen, Laurent Dinh, Shuangfei Zhai, Hanlin Goh, Daniel Ulbricht, et al · 2022
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Plenoxels: Radiance fields without neural networks
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Infinitenature-zero: Learning perpetual view generation of natural scenes from single images
Zhengqi Li, Qianqian Wang, Noah Snavely, and Angjoo Kanazawa · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 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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Infinicity: Infinite-scale city synthesis
Chieh Hubert Lin, Hsin-Ying Lee, Willi Menapace, Menglei Chai, Aliaksandr Siarohin, Ming-Hsuan Yang, and Sergey Tulyakov · 2023
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Efficientvit: Memory efficient vision transformer with cascaded group attention
Xinyu Liu, Houwen Peng, Ningxin Zheng, Yuqing Yang, Han Hu, and Yixuan Yuan · 2023
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Text2immersion: Generative immersive scene with 3d gaussians
Hao Ouyang, Kathryn Heal, Stephen Lombardi, and Tiancheng Sun · 2023
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Zeronvs: Zero-shot 360-degree view synthesis from a single real image
Kyle Sargent, Zizhang Li, Tanmay Shah, Charles Herrmann, Hong-Xing Yu, Yunzhi Zhang, Eric Ryan Chan, Dmitry Lagun, Li Fei-Fei, Deqing Sun, et al · 2023
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Diffusion with forward models: Solving stochastic inverse problems without direct supervision
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DiffDreamer: Towards consistent unsupervised single-view scene extrapolation with conditional diffusion models
Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, and Gordon Wetzstein · 2023
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Persistent nature: A generative model of unbounded 3d worlds
Lucy Chai, Richard Tucker, Zhengqi Li, Phillip Isola, and Noah Snavely · 2023
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Genvs: Generative novel view synthesis with 3d-aware diffusion models, 2023
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
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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
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Diffusion self-guidance for controllable image generation
Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, and Aleksander Holynski · 2023
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Scenewiz3d: Towards text-guided 3d scene composition
Zhang et.al · 2023
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Scenescape: Text-driven consistent scene generation
Rafail Fridman, Amit Abecasis, Yoni Kasten, and Tali Dekel · 2023
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Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B Tenenbaum, Frédo Durand, William T Freeman, and Vincent Sitzmann · 2023
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Lumiere: A space-time diffusion model for video generation
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Video generation models as world simulators, 2024
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