Fetching the paper…
Reading the bibliography…
While neural 3D reconstruction has advanced substantially, its performance significantly degrades with sparse-view data, which limits its broader applicability, since SfM is often unreliable in sparse-view scenarios where feature matches are scarce.
Novel view synthesis in tensor space
Shai Avidan and Amnon Shashua · 1997
Earlier work this paper cites.
Ewa volume splatting
Matthias Zwicker, Hanspeter Pfister, Jeroen Van Baar, and Markus Gross · 2001
Earlier work this paper cites.
Photorealistic Scene Reconstruction by Voxel Coloring, 2002
Steven M Seitz and Charles R Dyer · 2002
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
Earlier work this paper cites.
Soft 3D Reconstruction for View Synthesis
Eric Penner and Li Zhang · 2017
Earlier work this paper cites.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
Earlier work this paper cites.
Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
Ben Mildenhall, Pratul P Srinivasan, Rodrigo Ortiz-Cayon, Nima Khademi Kalantari, Ravi Ramamoorthi, Ren Ng, and Abhishek Kar · 2019
Earlier work this paper cites.
Pushing the Boundaries of View Extrapolation With Multiplane Images
Pratul P Srinivasan, Richard Tucker, Jonathan T Barron, Ravi Ramamoorthi, Ren Ng, and Noah Snavely · 2019
Earlier work this paper cites.
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
Pratul P Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T Barron, Richard Tucker, and Noah Snavely · 2020
Earlier work this paper cites.
Depth-supervised nerf: Fewer views and faster training for free
Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan · 2021
Earlier work this paper cites.
Putting nerf on a diet: Semantically consistent few-shot view synthesis
Ajay Jain, Matthew Tancik, and Pieter Abbeel · 2021
Earlier work this paper cites.
Self-calibrating neural radiance fields
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Anima Anandkumar, Minsu Cho, and Jaesik Park · 2021
Earlier work this paper cites.
Barf: Bundle-adjusting neural radiance fields
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, and Simon Lucey · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Michael Niemeyer, Jonathan T Barron, Ben Mildenhall, Mehdi SM Sajjadi, Andreas Geiger, and Noha Radwan · 2021
Earlier work this paper cites.
Nerf–: Neural radiance fields without known camera parameters
Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, and Victor Adrian Prisacariu · 2021
Cited alongside, same era.
inerf: Inverting neural radiance fields for pose estimation
Lin Yen-Chen, Pete Florence, Jonathan T Barron, Alberto Rodriguez, Phillip Isola, and Tsung-Yi Lin · 2021
Cited alongside, same era.
pixelnerf: Neural radiance fields from one or few images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
Cited alongside, same era.
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, and Peter Hedman · 2022
Cited alongside, same era.
A benchmark and a baseline for robust multi-view depth estimation
Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, and Thomas Brox · 2022
Cited alongside, same era.
pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction
David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann · 2024
Closest in time.
Large spatial model: End-to-end unposed images to semantic 3d
Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, et al · 2024
Closest in time.
Flashgs: Efficient 3d gaussian splatting for large-scale and high-resolution rendering
Guofeng Feng, Siyan Chen, Rong Fu, Zimu Liao, Yi Wang, Tao Liu, Zhilin Pei, Hengjie Li, Xingcheng Zhang, and Bo Dai · 2024
Closest in time.
Pf3plat: Pose-free feed-forward 3d gaussian splatting
Sunghwan Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, and Seungryong Kim · 2024
Closest in time.
2d gaussian splatting for geometrically accurate radiance fields
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jonathan T Barron, Ben Mildenhall, Dor Verbin, Pratul P Srinivasan, and Peter Hedman · 2023
Cited alongside, same era.
Nope-nerf: Optimising neural radiance field with no pose prior
Wenjing Bian, Zirui Wang, Kejie Li, Jia-Wang Bian, and Victor Adrian Prisacariu · 2023
Cited alongside, same era.
Neurbf: A neural fields representation with adaptive radial basis functions
Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, and Yi Xu · 2023
Cited alongside, same era.
Lu-nerf: Scene and pose estimation by synchronizing local unposed nerfs
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, and Ameesh Makadia · 2023
Cited alongside, same era.
Colmap-free 3d gaussian splatting
Yang Fu, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A Efros, and Xiaolong Wang · 2023
Cited alongside, same era.
3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
Cited alongside, same era.
Progressively optimized local radiance fields for robust view synthesis
Andreas Meuleman, Yu-Lun Liu, Chen Gao, Jia-Bin Huang, Changil Kim, Min H Kim, and Johannes Kopf · 2023
Cited alongside, same era.
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao · 2024
Closest in time.
2d gaussian splatting for geometrically accurate radiance fields
Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao · 2024
Closest in time.
A construct-optimize approach to sparse view synthesis without camera pose
Kaiwen Jiang, Yang Fu, Yash Belhe, Xiaolong Wang, Hao Su, Ravi Ramamoorthi, et al · 2024
Closest in time.
Lvsm: A large view synthesis model with minimal 3d inductive bias
Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, and Zexiang Xu · 2024
Closest in time.
Grounding image matching in 3d with mast3r
Vincent Leroy, Yohann Cabon, and Jérôme Revaud · 2024
Closest in time.
Ggrt: Towards pose-free generalizable 3d gaussian splatting in real-time
Hao Li, Yuanyuan Gao, Chenming Wu, Dingwen Zhang, Yalun Dai, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, and Junwei Han · 2024
Closest in time.
Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision
Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, et al · 2024
Closest in time.
Scaffold-gs: Structured 3d gaussians for view-adaptive rendering
Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, and Bo Dai · 2024
Closest in time.
Depthsplat: Connecting gaussian splatting and depth
Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, and Marc Pollefeys · 2024
Closest in time.
No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images
Botao Ye, Sifei Liu, Haofei Xu, Xueting Li, Marc Pollefeys, Ming-Hsuan Yang, and Songyou Peng · 2024
Closest in time.
Rade-gs: Rasterizing depth in gaussian splatting
Baowen Zhang, Chuan Fang, Rakesh Shrestha, Yixun Liang, Xiaoxiao Long, and Ping Tan · 2024
Closest in time.
Long-lrm: Long-sequence large reconstruction model for wide-coverage gaussian splats
Chen Ziwen, Hao Tan, Kai Zhang, Sai Bi, Fujun Luan, Yicong Hong, Li Fuxin, and Zexiang Xu · 2024
Closest in time.
Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images
Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, and Jianfei Cai · 2025
Closest in time.