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Novel view synthesis from a sparse set of input images is a challenging problem of great practical interest, especially when camera poses are absent or inaccurate.
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Pixelwise View Selection for Unstructured Multi-View Stereo. In European Conference on Computer Vision (ECCV)
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Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. In ECCV
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COLMAP-Free 3D Gaussian Splatting
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NeRF − − -- : Neural Radiance Fields Without Known Camera Parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu. 2021 · 2021
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pixelNeRF: Neural Radiance Fields From One or Few Images. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 . Computer Vision Foundation / IEEE, 4578–4587
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Depth-supervised NeRF: Fewer Views and Faster Training for Free. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 12872–12881
Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan. 2022 · 2022
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InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 12902–12911
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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. 2022 · 2022
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Instant neural graphics primitives with a multiresolution hash encoding
Thomas Müller, Alex Evans, Christoph Schied, and Alexander Keller. 2022 · 2022
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RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 5470–5480
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Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J Kim, and Jin-Hwa Kim. 2023 · 2023
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Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang, Nando Metzger, Rodrigo Caye Daudt, and Konrad Schindler. 2023 · 2023
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SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
Nikhil Keetha, Jay Karhade, Krishna Murthy Jatavallabhula, Gengshan Yang, Sebastian Scherer, Deva Ramanan, and Jonathon Luiten. 2023 · 2023
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3D Gaussian Splatting for Real-Time Radiance Field Rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis. 2023 · 2023
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Progressively Optimized Local Radiance Fields for Robust View Synthesis. In CVPR
Andreas Meuleman, Yu-Lun Liu, Chen Gao, Jia-Bin Huang, Changil Kim, Min H. Kim, and Johannes Kopf. 2023 · 2023
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CamP: Camera preconditioning for neural radiance fields
Keunhong Park, Philipp Henzler, Ben Mildenhall, Jonathan T Barron, and Ricardo Martin-Brualla. 2023 · 2023
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Is Attention All That NeRF Needs?. In The Eleventh International Conference on Learning Representations
Mukund T Varma, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, and Zhangyang Wang. 2023 · 2023
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SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
Guangcong Wang, Zhaoxi Chen, Chen Change Loy, and Ziwei Liu. 2023 · 2023
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ScaNeRF: Scalable Bundle-Adjusting Neural Radiance Fields for Large-Scale Scene Rendering
Xiuchao Wu, Jiamin Xu, Xin Zhang, Hujun Bao, Qixing Huang, Yujun Shen, James Tompkin, and Weiwei Xu. 2023 · 2023
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SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting
Haolin Xiong, Sairisheek Muttukuru, Rishi Upadhyay, Pradyumna Chari, and Achuta Kadambi. 2023 · 2023
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GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Chi Yan, Delin Qu, Dong Wang, Dan Xu, Zhigang Wang, Bin Zhao, and Xuelong Li. 2023 · 2023
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Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. In NeurIPS
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, and Liang-Chieh Chen. 2023 · 2023
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FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting
Zehao Zhu, Zhiwen Fan, Yifan Jiang, and Zhangyang Wang. 2023 · 2023
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