@inproceedings{radford2021learning,
  title={Learning transferable visual models from natural language supervision},
  author={Radford, Alec and Kim, Jong Wook and Hallacy, Chris and Ramesh, Aditya and Goh, Gabriel and Agarwal, Sandhini and Sastry, Girish and Askell, Amanda and Mishkin, Pamela and Clark, Jack and others},
  booktitle={International conference on machine learning},
  pages={8748--8763},
  year={2021},
  organization={PMLR}
}

@article{tschannen2019mutual,
  title={On mutual information maximization for representation learning},
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  year={2019}
}

@inproceedings{liu2021contrastive,
  title={Contrastive multimodal fusion with tupleinfonce},
  author={Liu, Yunze and Fan, Qingnan and Zhang, Shanghang and Dong, Hao and Funkhouser, Thomas and Yi, Li},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={754--763},
  year={2021}
}

@article{williams2010nonnegative,
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@inproceedings{henaff2020data,
  title={Data-efficient image recognition with contrastive predictive coding},
  author={Henaff, Olivier},
  booktitle={International conference on machine learning},
  pages={4182--4192},
  year={2020},
  organization={PMLR}
}

@inproceedings{tian2020contrastive,
  title={Contrastive multiview coding},
  author={Tian, Yonglong and Krishnan, Dilip and Isola, Phillip},
  booktitle={Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XI 16},
  pages={776--794},
  year={2020},
  organization={Springer}
}

@article{oord2018representation,
  title={Representation learning with contrastive predictive coding},
  author={Oord, Aaron van den and Li, Yazhe and Vinyals, Oriol},
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@inproceedings{niemeyer2022regnerf,
  title={Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs},
  author={Niemeyer, Michael and Barron, Jonathan T and Mildenhall, Ben and Sajjadi, Mehdi SM and Geiger, Andreas and Radwan, Noha},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5480--5490},
  year={2022}
}

@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 preprint arXiv:2303.16196},
  year={2023}
}

@inproceedings{deng2022depth,
  title={Depth-supervised nerf: Fewer views and faster training for free},
  author={Deng, Kangle and Liu, Andrew and Zhu, Jun-Yan and Ramanan, Deva},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12882--12891},
  year={2022}
}

@article{yu2022monosdf,
  title={Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction},
  author={Yu, Zehao and Peng, Songyou and Niemeyer, Michael and Sattler, Torsten and Geiger, Andreas},
  journal={arXiv preprint arXiv:2206.00665},
  year={2022}
}

@inproceedings{pan2022activenerf,
  title={ActiveNeRF: Learning Where to See with Uncertainty Estimation},
  author={Pan, Xuran and Lai, Zihang and Song, Shiji and Huang, Gao},
  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XXXIII},
  pages={230--246},
  year={2022},
  organization={Springer}
}

@inproceedings{jain2021putting,
  title={Putting nerf on a diet: Semantically consistent few-shot view synthesis},
  author={Jain, Ajay and Tancik, Matthew and Abbeel, Pieter},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5885--5894},
  year={2021}
}

@inproceedings{kim2022infonerf,
  title={Infonerf: Ray entropy minimization for few-shot neural volume rendering},
  author={Kim, Mijeong and Seo, Seonguk and Han, Bohyung},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12912--12921},
  year={2022}
}

@article{yue2020interventional,
  title={Interventional few-shot learning},
  author={Yue, Zhongqi and Zhang, Hanwang and Sun, Qianru and Hua, Xian-Sheng},
  journal={Advances in neural information processing systems},
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  pages={2734--2746},
  year={2020}
}

@article{lin2022revisiting,
  title={Revisiting Few-Shot Learning from a Causal Perspective},
  author={Lin, Guoliang and Lai, Hanjiang},
  journal={arXiv preprint arXiv:2209.13816},
  year={2022}
}

@article{austin2015moving,
  title={Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies},
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  pages={3076--3085},
  year={2017},
  organization={PMLR}
}


@inproceedings{johansson2016learning,
  title={Learning representations for counterfactual inference},
  author={Johansson, Fredrik and Shalit, Uri and Sontag, David},
  booktitle={International conference on machine learning},
  pages={3020--3029},
  year={2016},
  organization={PMLR}
}

@inproceedings{mildenhall2020nerf,
  title={NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis},
  author={Ben Mildenhall and Pratul P. Srinivasan and Matthew Tancik and Jonathan T. Barron and Ravi Ramamoorthi and Ren Ng},
  year={2020},
  booktitle={ECCV},
}

@article{shen2021towards,
  title={Towards out-of-distribution generalization: A survey},
  author={Shen, Zheyan and Liu, Jiashuo and He, Yue and Zhang, Xingxuan and Xu, Renzhe and Yu, Han and Cui, Peng},
  journal={arXiv preprint arXiv:2108.13624},
  year={2021}
}


@inproceedings{wang2020visual,
  title={Visual commonsense r-cnn},
  author={Wang, Tan and Huang, Jianqiang and Zhang, Hanwang and Sun, Qianru},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={10760--10770},
  year={2020}
}

@article{zhang2020causal,
  title={Causal intervention for weakly-supervised semantic segmentation},
  author={Zhang, Dong and Zhang, Hanwang and Tang, Jinhui and Hua, Xian-Sheng and Sun, Qianru},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={655--666},
  year={2020}
}
@article{tang2020long,
  title={Long-tailed classification by keeping the good and removing the bad momentum causal effect},
  author={Tang, Kaihua and Huang, Jianqiang and Zhang, Hanwang},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={1513--1524},
  year={2020}
}
@article{yang2021deconfounded,
  title={Deconfounded image captioning: A causal retrospect},
  author={Yang, Xu and Zhang, Hanwang and Cai, Jianfei},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2021},
  publisher={IEEE}
}

@inproceedings{tancik2022block,
  title={Block-nerf: Scalable large scene neural view synthesis},
  author={Tancik, Matthew and Casser, Vincent and Yan, Xinchen and Pradhan, Sabeek and Mildenhall, Ben and Srinivasan, Pratul P and Barron, Jonathan T and Kretzschmar, Henrik},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8248--8258},
  year={2022}
}

@inproceedings{turki2022mega,
  title={Mega-nerf: Scalable construction of large-scale nerfs for virtual fly-throughs},
  author={Turki, Haithem and Ramanan, Deva and Satyanarayanan, Mahadev},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={12922--12931},
  year={2022}
}

@article{xiangli2021citynerf,
  title={Citynerf: Building nerf at city scale},
  author={Xiangli, Yuanbo and Xu, Linning and Pan, Xingang and Zhao, Nanxuan and Rao, Anyi and Theobalt, Christian and Dai, Bo and Lin, Dahua},
  journal={arXiv preprint arXiv:2112.05504},
  year={2021}
}

@inproceedings{pumarola2021d,
  title={D-nerf: Neural radiance fields for dynamic scenes},
  author={Pumarola, Albert and Corona, Enric and Pons-Moll, Gerard and Moreno-Noguer, Francesc},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={10318--10327},
  year={2021}
}

@inproceedings{li2021neural,
  title={Neural scene flow fields for space-time view synthesis of dynamic scenes},
  author={Li, Zhengqi and Niklaus, Simon and Snavely, Noah and Wang, Oliver},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6498--6508},
  year={2021}
}

@inproceedings{xian2021space,
  title={Space-time neural irradiance fields for free-viewpoint video},
  author={Xian, Wenqi and Huang, Jia-Bin and Kopf, Johannes and Kim, Changil},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9421--9431},
  year={2021}
}

@inproceedings{gafni2021dynamic,
  title={Dynamic neural radiance fields for monocular 4d facial avatar reconstruction},
  author={Gafni, Guy and Thies, Justus and Zollhofer, Michael and Nie{\ss}ner, Matthias},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8649--8658},
  year={2021}
}


@article{wang2021nerf,
  title={NeRF--: Neural radiance fields without known camera parameters},
  author={Wang, Zirui and Wu, Shangzhe and Xie, Weidi and Chen, Min and Prisacariu, Victor Adrian},
  journal={arXiv preprint arXiv:2102.07064},
  year={2021}
}

@inproceedings{meng2021gnerf,
  title={Gnerf: Gan-based neural radiance field without posed camera},
  author={Meng, Quan and Chen, Anpei and Luo, Haimin and Wu, Minye and Su, Hao and Xu, Lan and He, Xuming and Yu, Jingyi},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={6351--6361},
  year={2021}
}

@inproceedings{lin2021barf,
  title={Barf: Bundle-adjusting neural radiance fields},
  author={Lin, Chen-Hsuan and Ma, Wei-Chiu and Torralba, Antonio and Lucey, Simon},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5741--5751},
  year={2021}
}

@inproceedings{barron2021mip,
  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={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5855--5864},
  year={2021}
}


@inproceedings{fridovich2022plenoxels,
  title={Plenoxels: Radiance fields without neural networks},
  author={Fridovich-Keil, Sara and Yu, Alex and Tancik, Matthew and Chen, Qinhong and Recht, Benjamin and Kanazawa, Angjoo},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5501--5510},
  year={2022}
}
%SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis

@inproceedings{yu2021plenoctrees,
  title={Plenoctrees for real-time rendering of neural radiance fields},
  author={Yu, Alex and Li, Ruilong and Tancik, Matthew and Li, Hao and Ng, Ren and Kanazawa, Angjoo},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5752--5761},
  year={2021}
}
@inproceedings{takikawa2021neural,
  title={Neural geometric level of detail: Real-time rendering with implicit 3D shapes},
  author={Takikawa, Towaki and Litalien, Joey and Yin, Kangxue and Kreis, Karsten and Loop, Charles and Nowrouzezahrai, Derek and Jacobson, Alec and McGuire, Morgan and Fidler, Sanja},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={11358--11367},
  year={2021}
}
@inproceedings{lindell2021autoint,
  title={Autoint: Automatic integration for fast neural volume rendering},
  author={Lindell, David B and Martel, Julien NP and Wetzstein, Gordon},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={14556--14565},
  year={2021}
}
@inproceedings{wizadwongsa2021nex,
  title={Nex: Real-time view synthesis with neural basis expansion},
  author={Wizadwongsa, Suttisak and Phongthawee, Pakkapon and Yenphraphai, Jiraphon and Suwajanakorn, Supasorn},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8534--8543},
  year={2021}
}
@inproceedings{garbin2021fastnerf,
  title={Fastnerf: High-fidelity neural rendering at 200fps},
  author={Garbin, Stephan J and Kowalski, Marek and Johnson, Matthew and Shotton, Jamie and Valentin, Julien},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={14346--14355},
  year={2021}
}
@inproceedings{reiser2021kilonerf,
  title={Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps},
  author={Reiser, Christian and Peng, Songyou and Liao, Yiyi and Geiger, Andreas},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={14335--14345},
  year={2021}
}
@inproceedings{hedman2021baking,
  title={Baking neural radiance fields for real-time view synthesis},
  author={Hedman, Peter and Srinivasan, Pratul P and Mildenhall, Ben and Barron, Jonathan T and Debevec, Paul},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5875--5884},
  year={2021}
}
@inproceedings{neff2021donerf,
  title={DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks},
  author={Neff, Thomas and Stadlbauer, Pascal and Parger, Mathias and Kurz, Andreas and Mueller, Joerg H and Chaitanya, Chakravarty R Alla and Kaplanyan, Anton and Steinberger, Markus},
  booktitle={Computer Graphics Forum},
  volume={40},
  number={4},
  pages={45--59},
  year={2021},
  organization={Wiley Online Library}
}




@inproceedings{wang2021ibrnet,
  title={Ibrnet: Learning multi-view image-based rendering},
  author={Wang, Qianqian and Wang, Zhicheng and Genova, Kyle and Srinivasan, Pratul P and Zhou, Howard and Barron, Jonathan T and Martin-Brualla, Ricardo and Snavely, Noah and Funkhouser, Thomas},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4690--4699},
  year={2021}
}

@inproceedings{suhail2022light,
  title={Light field neural rendering},
  author={Suhail, Mohammed and Esteves, Carlos and Sigal, Leonid and Makadia, Ameesh},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8269--8279},
  year={2022}
}


@inproceedings{suhail2022generalizable,
  title={Generalizable patch-based neural rendering},
  author={Suhail, Mohammed and Esteves, Carlos and Sigal, Leonid and Makadia, Ameesh},
  booktitle={Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XXXII},
  pages={156--174},
  year={2022},
  organization={Springer}
}


@article{yang2023freenerf,
  title={FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization},
  author={Yang, Jiawei and Pavone, Marco and Wang, Yue},
  journal={arXiv preprint arXiv:2303.07418},
  year={2023}
}

@inproceedings{chibane2021stereo,
  title={Stereo radiance fields (srf): Learning view synthesis for sparse views of novel scenes},
  author={Chibane, Julian and Bansal, Aayush and Lazova, Verica and Pons-Moll, Gerard},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7911--7920},
  year={2021}
}

@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={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4578--4587},
  year={2021}
}

@article{rubin2005causal,
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@article{lombardi2019neural,
  title={Neural volumes: Learning dynamic renderable volumes from images},
  author={Lombardi, Stephen and Simon, Tomas and Saragih, Jason and Schwartz, Gabriel and Lehrmann, Andreas and Sheikh, Yaser},
  journal={arXiv preprint arXiv:1906.07751},
  year={2019}
}

@inproceedings{chen2021mvsnerf,
  title={Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo},
  author={Chen, Anpei and Xu, Zexiang and Zhao, Fuqiang and Zhang, Xiaoshuai and Xiang, Fanbo and Yu, Jingyi and Su, Hao},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={14124--14133},
  year={2021}
}

@article{wang2020generalizing,
  title={Generalizing from a few examples: A survey on few-shot learning},
  author={Wang, Yaqing and Yao, Quanming and Kwok, James T and Ni, Lionel M},
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  volume={53},
  number={3},
  pages={1--34},
  year={2020},
  publisher={ACM New York, NY, USA}
}

@article{deng2022nerdi,
  title={NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors},
  author={Deng, Congyue and Jiang, Chiyu and Qi, Charles R and Yan, Xinchen and Zhou, Yin and Guibas, Leonidas and Anguelov, Dragomir and others},
  journal={arXiv preprint arXiv:2212.03267},
  year={2022}
}

@article{zhou2022sparsefusion,
  title={SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction},
  author={Zhou, Zhizhuo and Tulsiani, Shubham},
  journal={arXiv preprint arXiv:2212.00792},
  year={2022}
}


@article{mildenhall2019local,
  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},
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@inproceedings{fu2018scalable,
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@inproceedings{zolfaghari2019temporal,
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  author={Zolfaghari Bengar, Javad and Gonzalez-Garcia, Abel and Villalonga, Gabriel and Raducanu, Bogdan and Habibi Aghdam, Hamed and Mozerov, Mikhail and Lopez, Antonio M and Van de Weijer, Joost},
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  year={2019}
}

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@article{zhang2020nerf++,
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  author={Zhang, Kai and Riegler, Gernot and Snavely, Noah and Koltun, Vladlen},
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  year={2020}
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@inproceedings{park2021nerfies,
  title={Nerfies: Deformable neural radiance fields},
  author={Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M and Martin-Brualla, Ricardo},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={5865--5874},
  year={2021}
}




@inproceedings{martin2021nerf,
  title={Nerf in the wild: Neural radiance fields for unconstrained photo collections},
  author={Martin-Brualla, Ricardo and Radwan, Noha and Sajjadi, Mehdi SM and Barron, Jonathan T and Dosovitskiy, Alexey and Duckworth, Daniel},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7210--7219},
  year={2021}
}

@article{wu2023reconfusion,
  title={Reconfusion: 3d reconstruction with diffusion priors},
  author={Wu, Rundi and Mildenhall, Ben and Henzler, Philipp and Park, Keunhong and Gao, Ruiqi and Watson, Daniel and Srinivasan, Pratul P and Verbin, Dor and Barron, Jonathan T and Poole, Ben and others},
  journal={arXiv preprint arXiv:2312.02981},
  year={2023}
}

@inproceedings{reizenstein2021common,
  title={Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction},
  author={Reizenstein, Jeremy and Shapovalov, Roman and Henzler, Philipp and Sbordone, Luca and Labatut, Patrick and Novotny, David},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={10901--10911},
  year={2021}
}

@inproceedings{caron2021emerging,
  title={Emerging properties in self-supervised vision transformers},
  author={Caron, Mathilde and Touvron, Hugo and Misra, Ishan and J{\'e}gou, Herv{\'e} and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand},
  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
  pages={9650--9660},
  year={2021}
}

@inproceedings{li2022blip,
  title={Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation},
  author={Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven},
  booktitle={International conference on machine learning},
  pages={12888--12900},
  year={2022},
  organization={PMLR}
}

@inproceedings{wynn2023diffusionerf,
  title={Diffusionerf: Regularizing neural radiance fields with denoising diffusion models},
  author={Wynn, Jamie and Turmukhambetov, Daniyar},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={4180--4189},
  year={2023}
}