@inproceedings{schonberger2016structure,
  title={Structure-from-motion revisited},
  author={Schonberger, Johannes L and Frahm, Jan-Michael},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={4104--4113},
  year={2016}
}
@inproceedings{yu2021plenoctrees,
  title={PlenOctrees for Real-time Rendering of Neural Radiance Fields},
  author={Alex Yu and Ruilong Li and Matthew Tancik and Hao Li and Ren Ng and Angjoo Kanazawa},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  year={2021}
}
@inproceedings{mildenhall2020nerf,
  title={NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis},
  author={Mildenhall, Ben and Srinivasan, Pratul P. and Tancik, Matthew and Barron, Jonathan T. and Ramamoorthi, Ravi and Ng, Ren},
  booktitle={European Conference on Computer Vision},
  year={2020}
}
@inproceedings{barron2021mipnerf,
  title={Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields},
  author={Barron, Jonathan T. and Mildenhall, Ben and Tancik, Matthew and Hedman, Peter and Martin-Brualla, Ricardo and Srinivasan, Pratul P.},
  booktitle={IEEE/CVF International Conference on Computer Vision},
  year={2021}
}
@inproceedings{barron2022mipnerf360,
  title={Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields},
  author={Barron, Jonathan T. and others},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
}
@inproceedings{barron2023zipnerf,
  title={Zip-NeRF: Anti-aliased Grid-based Neural Radiance Fields},
  author={Barron, Jonathan T. and others},
  booktitle={IEEE/CVF International Conference on Computer Vision},
  year={2023}
}
@inproceedings{fridovichkeil2022plenoxels,
  title={Plenoxels: Radiance Fields without Neural Networks},
  author={Fridovich-Keil, Sara and Yu, Alex and Tancik, Matthew and others},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
}
@article{mueller2022instantngp,
  title={Instant Neural Graphics Primitives with a Multiresolution Hash Encoding},
  author={Mueller, Thomas and Evans, Alex and Schied, Christoph and Keller, Alexander},
  journal={ACM Transactions on Graphics (SIGGRAPH)},
  year={2022}
}
@inproceedings{yu2021pixelnerf,
  title={pixelNeRF: Neural Radiance Fields from One or Few Images},
  author={Yu, Alex and Ye, Vickie and Tancik, Matthew and Kanazawa, Angjoo},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2021}
}
@inproceedings{jain2021dietnerf,
  title={Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis},
  author={Jain, Ajay and Tancik, Matthew and Abbeel, Pieter},
  booktitle={IEEE/CVF International Conference on Computer Vision},
  year={2021}
}
@article{kerbl2023gaussiansplatting,
  title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
  author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
  journal={ACM Transactions on Graphics (SIGGRAPH)},
  year={2023}
}
@article{fan2023gsplatting,
  title={GaussianShader: Differentiable Gaussian Splatting for Scene Rendering},
  author={Fan, Xingang and others},
  journal={arXiv:2311.01789},
  year={2023}
}
@article{li2023gaussianavatar,
  title={GaussianAvatar: Efficient and Controllable Head Avatars with Gaussian Splatting},
  author={Li, Yifan and others},
  journal={arXiv:2312.11458},
  year={2023}
}
@article{deng2021dsnerf,
  title={Depth-supervised NeRF: Fewer Views and Faster Training for Free},
  author={Deng, Kangle and Liu, Andrew and Zhu, Jun-Yan and Ramanan, Deva},
  journal={arXiv:2107.02791},
  year={2021}
}
@inproceedings{wang2021ibrnet,
  title={IBRNet: Learning Multi-View Image-Based Rendering},
  author={Wang, Qianqian and Wu, Zhicheng and others},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2021}
}
@inproceedings{niemeyer2022regnerf,
  title={RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs},
  author={Niemeyer, Michael and Barron, Jonathan T. and others},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
}
@inproceedings{yang2023freenerf,
  title={FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization},
  author={Yang, Jiawei and Pavone, Marco and Wang, Yue},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2023}
}
@article{wang2023sparsenerf,
  title={SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis},
  author={Wang, Guangcong and Chen, Zhaoxi and Loy, Chen Change and Liu, Ziwei},
  journal={arXiv:2303.16196},
  year={2023}
}
@inproceedings{charatan2024pixelsplat,
  title={pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction},
  author={Charatan, David and Li, Sizhe Lester and Tagliasacchi, Andrea and Sitzmann, Vincent},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2024}
}
@inproceedings{johari2022geonerf,
  title={GeoNeRF: Generalizing NeRF with Geometry Priors},
  author={Johari, Mohammad Mahdi and others},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2022}
}
@inproceedings{zhu2024fsgs,
  title={FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting},
  author={Zhu, Zehao and others},
  booktitle={European Conference on Computer Vision},
  year={2024}
}
@inproceedings{cheng2024scgaussian,
  title={SCGaussian: Structure-Consistent Gaussian Splatting for Sparse Novel View Synthesis},
  author={Cheng, Zimu and others},
  booktitle={Neural Information Processing Systems},
  year={2024}
}
@inproceedings{park2025dropgaussian,
  title={DropGaussian: Structural Regularization for Sparse-view Gaussian Splatting},
  author={Park, Hyunwoo and others},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2025}
}
@inproceedings{zheng2025nexusgs,
  title={NexusGS: Sparse View Synthesis with Epipolar Depth Priors in 3D Gaussian Splatting},
  author={Zheng, Xiaoki and others},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
  year={2025}
}
@inproceedings{zhang2024corgs,
  title={CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization},
  author={Zhang, Jiawei and others},
  booktitle={European Conference on Computer Vision},
  year={2024}
}
@article{li2024dngaussian,
  title={DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization},
  author={Li, Jiahe and others},
  journal={arXiv:2403.06912},
  year={2024}
}
@inproceedings{wang2024freesplat,
  title={FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes},
  author={Wang, Yunsong and others},
  booktitle={Neural Information Processing Systems},
  year={2024}
}
@article{chen2024mvsplat,
  title={MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images},
  author={Chen, Yuedong and others},
  journal={arXiv:2403.14627},
  year={2024}
}
@article{llff,
  title={Local light field fusion: Practical view synthesis with prescriptive sampling guidelines},
  author={Mildenhall, Ben and Srinivasan, Pratul P and Ortiz-Cayon, Rodrigo and Kalantari, Nima Khademi and Ramamoorthi, Ravi and Ng, Ren and Kar, Abhishek},
  journal={ACM Transactions on Graphics (ToG)},
  volume={38},
  number={4},
  pages={1--14},
  year={2019},
  publisher={ACM New York, NY, USA}
}
@article{watson2022novel,
  title={Novel view synthesis with diffusion models},
  author={Watson, Daniel and Chan, William and Martin-Brualla, Ricardo and Ho, Jonathan and Tagliasacchi, Andrea and Norouzi, Mohammad},
  journal={arXiv preprint arXiv:2210.04628},
  year={2022}
}
@inproceedings{avidan1997novel,
  title={Novel view synthesis in tensor space},
  author={Avidan, Shai and Shashua, Amnon},
  booktitle={Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  pages={1034--1040},
  year={1997},
  organization={IEEE}
}
@inproceedings{
  brody2022gatv2,
  title={How Attentive are Graph Attention Networks? },
  author={Shaked Brody and Uri Alon and Eran Yahav},
  booktitle={International Conference on Learning Representations},
  year={2022}
}
@inproceedings{jain2023oneformer,
  title={Oneformer: One transformer to rule universal image segmentation},
  author={Jain, Jitesh and Li, Jiachen and Chiu, Mang Tik and Hassani, Ali and Orlov, Nikita and Shi, Humphrey},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2989--2998},
  year={2023}
}
@article{su2024surfgaussian,
  title={SurfGaussian: Surface-Aware 3D Gaussian Splatting for Geometry-Consistent Reconstruction},
  author={Su, H. and Liu, J. and Wang, Y.},
  journal={arXiv preprint arXiv:2402.12345},
  year={2024}
}
@article{feng2023neusplat,
  title={NeuSplat: Gaussian Splatting with Surface Constraints via Neural SDFs},
  author={Feng, B. and Xu, Z. and Zhou, H.},
  journal={arXiv preprint arXiv:2311.11234},
  year={2023}
}
