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Reconstructing and rendering 3D objects from highly sparse views is of critical importance for promoting applications of 3D vision techniques and improving user experience.
The visual hull concept for silhouette-based image understanding
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Depth-supervised NeRF: Fewer Views and Faster Training for Free. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 12872–12881
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Infonerf: Ray entropy minimization for few-shot neural volume rendering. In CVPR . 12912–12921
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Sdedit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon. 2022 · 2022
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RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 5470–5480
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Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer
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High-Resolution Image Synthesis with Latent Diffusion Models. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 10674–10685
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Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. In CVPR
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SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. In Computer Vision – ECCV 2022 (Lecture Notes in Computer Science) , Shai Avidan, Gabriel Brostow, Moustapha Cissé, Giovanni Maria Farinella, and Tal Hassner (Eds.). Springer Nature Switzerland, Cham, 736–753
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Zoedepth: Zero-shot transfer by combining relative and metric depth
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Segment Anything in 3D with NeRFs. In NeurIPS
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GeNVS: Generative novel view synthesis with 3D-aware diffusion models
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Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) . 22246–22256
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Depth-regularized optimization for 3d gaussian splatting in few-shot images
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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
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SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
Guangcong, Zhaoxi Chen, Chen Change Loy, and Ziwei Liu. 2023 · 2023
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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 · 2023
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Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. In Proceedings of the IEEE/CVF International Conference on Computer Vision
Ayaan Haque, Matthew Tancik, Alexei Efros, Aleksander Holynski, and Angjoo Kanazawa. 2023 · 2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T Barron, and Ben Poole. 2024 · 2024
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Lrm: Large reconstruction model for single image to 3d
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, and Hao Tan. 2024 · 2024
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2D Gaussian Splatting for Geometrically Accurate Radiance Fields. In SIGGRAPH 2024 Conference Papers . Association for Computing Machinery
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao. 2024 · 2024
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NViST: In the Wild New View Synthesis from a Single Image with Transformers
Wonbong Jang and Lourdes Agapito. 2024 · 2024
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LEAP: Liberate Sparse-view 3D Modeling from Camera Poses
Hanwen Jiang, Zhenyu Jiang, Yue Zhao, and Qixing Huang. 2024 · 2024
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Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
Cited alongside, same era.
Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Magic3D: High-Resolution Text-to-3D Content Creation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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 · 2023
Cited alongside, same era.
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, and Hao Su. 2023a · 2023
Cited alongside, same era.
Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models
Xinhang Liu, Shiu-hong Kao, Jiaben Chen, Yu-Wing Tai, and Chi-Keung Tang. 2023b · 2023
Cited alongside, same era.
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 12663–12673
Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, and Daniel Cohen-Or. 2023 · 2023
Cited alongside, same era.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2023 · 2023
Cited alongside, same era.
Dreambooth3d: Subject-driven text-to-3d generation
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, et al · 2023
Cited alongside, same era.
Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model
Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, and Sai Bi. 2024 · 2024
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Gaussian Splatting SLAM. In CVPR
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, and Andrew J. Davison. 2024 · 2024
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MultiDiff: Consistent Novel View Synthesis from a Single Image. In CVPR . 10258–10268
Norman Müller, Katja Schwarz, Barbara Rössle, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, and Peter Kontschieder. 2024 · 2024
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CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, and Nima Khademi Kalantari. 2024 · 2024
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Fast Dynamic 3D Object Generation from a Single-view Video
Zijie Pan, Zeyu Yang, Xiatian Zhu, and Li Zhang. 2024 · 2024
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Control4D: Efficient 4D Portrait Editing with Text
Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, and Yebin Liu. 2024 · 2024
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ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
Ruoxi Shi, Xinyue Wei, Cheng Wang, and Hao Su. 2024b · 2024
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MVDream: Multi-view Diffusion for 3D Generation
Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, and Xiao Yang. 2024a · 2024
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Simple-RF: Regularizing Sparse Input Radiance Fields with Simpler Solutions
Nagabhushan Somraj, Adithyan Karanayil, Sai Harsha Mupparaju, and Rajiv Soundararajan. 2024 · 2024
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LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, and Ziwei Liu. 2024a · 2024
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DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, and Gang Zeng. 2024b · 2024
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PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, and Kai Zhang. 2024b · 2024
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DUSt3R: Geometric 3D Vision Made Easy
Shuzhe Wang, Vincent Leroy, Yohann Cabon, Boris Chidlovskii, and Jerome Revaud. 2024a · 2024
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MeshLRM: Large Reconstruction Model for High-Quality Mesh
Xinyue Wei, Kai Zhang, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, and Zexiang Xu. 2024 · 2024
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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, et al · 2024
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AGG: Amortized Generative 3D Gaussians for Single Image to 3D
Dejia Xu, Ye Yuan, Morteza Mardani, Sifei Liu, Jiaming Song, Zhangyang Wang, and Arash Vahdat. 2024c · 2024
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Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation
Yinghao Xu, Zifan Shi, Wang Yifan, Hansheng Chen, Ceyuan Yang, Sida Peng, Yujun Shen, and Gordon Wetzstein. 2024a · 2024
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DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, and Kai Zhang. 2024b · 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 · 2024
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Gaussian Opacity Fields: Efficient High-quality Compact Surface Reconstruction in Unbounded Scenes
Zehao Yu, Torsten Sattler, and Andreas Geiger. 2024 · 2024
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GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, and Zexiang Xu. 2024 · 2024
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HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
Junzhe Zhu and Peiye Zhuang. 2024 · 2024
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FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
Zehao Zhu, Zhiwen Fan, Yifan Jiang, and Zhangyang Wang. 2024 · 2024
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Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
Zi-Xin Zou, Zhipeng Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Yan-Pei Cao, and Song-Hai Zhang. 2024 · 2024
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