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Text-to-3D generation has shown promising results, yet common challenges such as the Multi-face Janus problem and extended generation time for high-quality assets.
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling, 2017
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, and Joshua B. Tenenbaum · 2017
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A unified particle-optimization framework for scalable bayesian sampling, 2018
Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, and Liqun Chen · 2018
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Text2shape: Generating shapes from natural language by learning joint embeddings, 2018
Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas Funkhouser, and Silvio Savarese · 2018
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Stein variational gradient descent: A general purpose bayesian inference algorithm, 2019
Qiang Liu and Dilin Wang · 2019
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Nerf: Representing scenes as neural radiance fields for view synthesis, 2020
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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High-resolution image synthesis with latent diffusion models, 2021
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Classifier-free diffusion guidance, 2022
Jonathan Ho and Tim Salimans · 2022
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Zero-shot text-guided object generation with dream fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, and Ben Poole · 2022
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Clip-mesh: Generating textured meshes from text using pretrained image-text models
Nasir Mohammad Khalid, Tianhao Xie, Eugene Belilovsky, and Popa Tiberiu · 2022
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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 · 2022
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T. Barron, and Ben Mildenhall · 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
Earlier work this paper cites.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2022
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Denoising diffusion implicit models, 2022
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2022
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Fantasia3d: Disentangling geometry and appearance for high-quality text-to-3d content creation
Rui Chen, Yongwei Chen, Ningxin Jiao, and Kui Jia · 2023
Cited alongside, same era.
Particle-based variational inference with preconditioned functional gradient flow, 2023
Hanze Dong, Xi Wang, Yong Lin, and Tong Zhang · 2023
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Dynamic unary convolution in transformers
H. Duan, Y. Long, S. Wang, H. Zhang, C. G. Willcocks, and L. Shao · 2023
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Antoine Guédon and Vincent Lepetit · 2023
Cited alongside, same era.
threestudio: A unified framework for 3d content generation
Yuan-Chen Guo, Ying-Tian Liu, Ruizhi Shao, Christian Laforte, Vikram Voleti, Guan Luo, Chia-Hao Chen, Zi-Xin Zou, Chen Wang, Yan-Pei Cao, and Song-Hai Zhang · 2023
Cited alongside, same era.
Janus — wikipedia, the free encyclopedia, 2024
Wikipedia contributors · 2024
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Trim 3d gaussian splatting for accurate geometry representation, 2024
Lue Fan, Yuxue Yang, Minxing Li, Hongsheng Li, and Zhaoxiang Zhang · 2024
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Dreamtime: An improved optimization strategy for diffusion-guided 3d generation, 2024
Yukun Huang, Jianan Wang, Yukai Shi, Boshi Tang, Xianbiao Qi, and Lei Zhang · 2024
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Spad : Spatially aware multiview diffusers, 2024
Yash Kant, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Guler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski, and Aliaksandr Siarohin · 2024
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Grounded compositional and diverse text-to-3d with pretrained multi-view diffusion model, 2024
Xiaolong Li, Jiawei Mo, Ying Wang, Chethan Parameshwara, Xiaohan Fei, Ashwin Swaminathan, CJ Taylor, Zhuowen Tu, Paolo Favaro, and Stefano Soatto · 2024
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Cited alongside, same era.
Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching, 2023
Yixun Liang, Xin Yang, Jiantao Lin, Haodong Li, Xiaogang Xu, and Yingcong Chen · 2023
Cited alongside, same era.
Magic3d: High-resolution text-to-3d content creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin · 2023
Cited alongside, same era.
Mvdream: Multi-view diffusion for 3d generation
Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, and Xiao Yang · 2023
Cited alongside, same era.
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 2023
Cited alongside, same era.
Text2nerf: Text-driven 3d scene generation with neural radiance fields
Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, and Jing Liao · 2023
Cited alongside, same era.
Pgsr: Planar-based gaussian splatting for efficient and high-fidelity surface reconstruction, 2024
Danpeng Chen, Hai Li, Weicai Ye, Yifan Wang, Weijian Xie, Shangjin Zhai, Nan Wang, Haomin Liu, Hujun Bao, and Guofeng Zhang · 2024
Cited alongside, same era.
Zhiqi Li, Yiming Chen, Lingzhe Zhao, and Peidong Liu · 2024
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Direct-3d: Learning direct text-to-3d generation on massive noisy 3d data
Qihao Liu, Yi Zhang, Song Bai, Adam Kortylewski, and Alan L Yuille · 2024
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Pla4d: Pixel-level alignments for text-to-4d gaussian splatting, 2024
Qiaowei Miao, Yawei Luo, and Yi Yang · 2024
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Gamba: Marry gaussian splatting with mamba for single view 3d reconstruction, 2024
Qiuhong Shen, Zike Wu, Xuanyu Yi, Pan Zhou, Hanwang Zhang, Shuicheng Yan, and Xinchao Wang · 2024
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Dreamgaussian: Generative gaussian splatting for efficient 3d content creation, 2024
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng · 2024
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Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models
Taoran Yi, Jiemin Fang, Junjie Wang, Guanjun Wu, Lingxi Xie, Xiaopeng Zhang, Wenyu Liu, Qi Tian, and Xinggang Wang · 2024
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Mvgamba: Unify 3d content generation as state space sequence modeling, 2024
Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, and Hanwang Zhang · 2024
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Exactdreamer: High-fidelity text-to-3d content creation via exact score matching
Yumin Zhang, Xingyu Miao, Haoran Duan, Bo Wei, Tejal Shah, Yang Long, and Rajiv Ranjan · 2024
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