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As a promising 3D generation technique, multiview diffusion (MVD) has received a lot of attention due to its advantages in terms of generalizability, quality, and efficiency.
Image quality assessment: From error visibility to structural similarity
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A comparison and evaluation of multi-view stereo reconstruction algorithms . In CVPR . IEEE, 519–528
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A survey of structure from motion
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The unreasonable effectiveness of deep features as a perceptual metric . In CVPR . 586–595
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Modular primitives for high-performance differentiable rendering
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NeRF: Representing scenes as neural radiance fields for view synthesis . In ECCV
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PolyGen: An autoregressive generative model of 3D meshes . In ICML . PMLR, 7220–7229
Charlie Nash, Yaroslav Ganin, SM Ali Eslami, and Peter Battaglia. 2020 · 2020
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Deep marching tetrahedra: A hybrid representation for high-resolution 3D shape synthesis
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Peng Wang, Lingjie Liu, Yuan Liu, Christian Theobalt, Taku Komura, and Wenping Wang. 2021 · 2021
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Deep multi-view learning methods: A review
Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, and Hui Yu. 2021 · 2021
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pixelNeRF: Neural radiance fields from one or few images . In CVPR
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa. 2021 · 2021
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3D scene geometry estimation from 360 ∘ imagery: A survey
Thiago L. T. da Silveira, Paulo G. L. Pinto, Jeffri Murrugarra-Llerena, and Cláudio R. Jung. 2022 · 2022
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Laura Downs, Anthony Francis, Nate Koenig, Brandon Kinman, Ryan Hickman, Krista Reymann, Thomas B McHugh, and Vincent Vanhoucke. 2022 · 2022
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Get3D: A generative model of high quality 3D textured shapes learned from images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler. 2022 · 2022
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Zero-shot text-guided object generation with dream fields . In CVPR . 867–876
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, and Ben Poole. 2022 · 2022
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SparseNeuS: Fast generalizable neural surface reconstruction from sparse views . In ECCV . Springer, 210–227
Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, and Wenping Wang. 2022 · 2022
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AutoSDF: Shape priors for 3D completion, reconstruction and generation . In CVPR
Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, and Shubham Tulsiani. 2022 · 2022
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High-resolution image synthesis with latent diffusion models . In CVPR
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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3DILG: Irregular latent grids for 3D generative modeling . In NeurIPS
Biao Zhang, Matthias Nießner, and Peter Wonka. 2022 · 2022
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SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D shape generation
Xinyang Zheng, Yang Liu, Pengshuai Wang, and Xin Tong. 2022 · 2022
Cited alongside, same era.
Stable Zero123
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SDFusion: Multimodal 3D shape completion, reconstruction, and generation . In CVPR . 4456–4465
Yen-Chi Cheng, Hsin-Ying Lee, Sergey Tulyakov, Alexander G Schwing, and Liang-Yan Gui. 2023 · 2023
Cited alongside, same era.
Congyue Deng, Chiyu Jiang, Charles R Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov, et al · 2023
Flexible isosurface extraction for gradient-based mesh optimization
Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, and Jun Gao. 2023 · 2023
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Zero123++: a single image to consistent multi-view diffusion base model
Ruoxi Shi, Hansheng Chen, Zhuoyang Zhang, Minghua Liu, Chao Xu, Xinyue Wei, Linghao Chen, Chong Zeng, and Hao Su. 2023 · 2023
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Splatter Image: Ultra-fast single-view 3D reconstruction
Stanislaw Szymanowicz, Christian Rupprecht, and Andrea Vedaldi. 2023 · 2023
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Consistent123: Improve consistency for one image to 3D object synthesis
Haohan Weng, Tianyu Yang, Jianan Wang, Yu Li, Tong Zhang, CL Chen, and Lei Zhang. 2023 · 2023
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HarmonyView: Harmonizing consistency and diversity in one-image-to-3D
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Cited alongside, same era.
3DGen: Triplane latent diffusion for textured mesh generation
Anchit Gupta, Wenhan Xiong, Yixin Nie, Ian Jones, and Barlas Oğuz. 2023 · 2023
Cited alongside, same era.
OpenLRM: Open-source large reconstruction models
Zexin He and Tengfei Wang. 2023 · 2023
Cited alongside, same era.
ZeroShape: Regression-based zero-shot shape reconstruction
Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, and James M Rehg. 2023 · 2023
Cited alongside, same era.
Moritz Ibing, Gregor Kobsik, and Leif Kobbelt. 2023 · 2023
Cited alongside, same era.
Shap-E: Generating conditional 3D implicit functions
Heewoo Jun and Alex Nichol. 2023 · 2023
Cited alongside, same era.
3D Gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
Cited alongside, same era.
Diffusion-SDF: Text-to-shape via voxelized diffusion . In CVPR . 12642–12651
Muheng Li, Yueqi Duan, Jie Zhou, and Jiwen Lu. 2023 · 2023
Cited alongside, same era.
Sangmin Woo, Byeongjun Park, Hyojun Go, Jin-Young Kim, and Changick Kim. 2023 · 2023
Later among the works it cites.
Multiview compressive coding for 3D reconstruction . In CVPR . 9065–9075
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, and Georgia Gkioxari. 2023 · 2023
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ConsistNet: Enforcing 3D consistency for multi-view images diffusion
Jiayu Yang, Ziang Cheng, Yunfei Duan, Pan Ji, and Hongdong Li. 2023 · 2023
Later among the works it cites.
Jianglong Ye, Peng Wang, Kejie Li, Yichun Shi, and Heng Wang. 2023 · 2023
Later among the works it cites.
HiFi-123: Towards high-fidelity one image to 3D content generation
Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Long Quan, Ying Shan, and Yonghong Tian. 2023 · 2023
Later among the works it cites.
IPDreamer: Appearance-controllable 3D object generation with image prompts
Bohan Zeng, Shanglin Li, Yutang Feng, Hong Li, Sicheng Gao, Jiaming Liu, Huaxia Li, Xu Tang, Jianzhuang Liu, and Baochang Zhang. 2023 · 2023
Later among the works it cites.
3DShape2VecSet: A 3D shape representation for neural fields and generative diffusion models
Biao Zhang, Jiapeng Tang, Matthias Niessner, and Peter Wonka. 2023 · 2023
Later among the works it cites.
Locally Attentional SDF diffusion for controllable 3D shape generation
Xinyang Zheng, Hao Pan, Pengshuai Wang, Xin Tong, Yang Liu, and Heungyeung Shum. 2023 · 2023
Later among the works it cites.
Zi-Xin Zou, Zhipeng Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Yan-Pei Cao, and Song-Hai Zhang. 2023 · 2023
Later among the works it cites.
LRM: Large reconstruction model for single image to 3D . In ICLR
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, and Hao Tan. 2024 · 2024
Closest in time.
SweetDreamer: Aligning geometric priors in 2D diffusion for consistent Text-to-3D . In ICLR
Weiyu Li, Rui Chen, Xuelin Chen, and Ping Tan. 2024 · 2024
Closest in time.
SyncDreamer: Generating multiview-consistent images from a single-view image . In ICLR
Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, and Wenping Wang. 2024 · 2024
Closest in time.
Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, et al · 2024
Closest in time.
MVDream: Multi-view diffusion for 3D generation . In ICLR
Yichun Shi, Peng Wang, Jianglong Ye, Mai Long, Kejie Li, and Xiao Yang. 2024 · 2024
Closest in time.
DreamCraft3D: Hierarchical 3D generation with bootstrapped diffusion prior . In ICLR
Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, and Yebin Liu. 2024 · 2024
Closest in time.