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Neural Radiance Fields (NeRF) have been widely adopted as practical and versatile representations for 3D scenes, facilitating various downstream tasks.
Kingma DP, Ba J (2014) Adam: A method for stochastic optimization. arXiv preprint arXiv:14126980
2014
Earlier work this paper cites.
Hinton G, Vinyals O, Dean J, et al. (2015) Distilling the knowledge in a neural network. arXiv preprint arXiv:150302531 2(7)
2015
Earlier work this paper cites.
Knapitsch A, Park J, Zhou QY, Koltun V (2017) Tanks and temples: Benchmarking large-scale scene reconstruction. ACM Transactions on Graphics (ToG) 36(4):1–13
2017
Earlier work this paper cites.
Zhang R, Isola P, Efros AA, Shechtman E, Wang O (2018) The unreasonable effectiveness of deep features as a perceptual metric. In: CVPR, pp 586–595
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
Mildenhall B, Srinivasan PP, Ortiz-Cayon R, Kalantari NK, Ramamoorthi R, Ng R, Kar A (2019) Local light field fusion: Practical view synthesis with prescriptive sampling guidelines. ACM Transactions on Graphics (TOG) 38(4):1–14
2019
Earlier work this paper cites.
Paszke A, Gross S, Massa F, Lerer A, Bradbury J, Chanan G, Killeen T, Lin Z, Gimelshein N, Antiga L, et al. (2019) Pytorch: An imperative style, high-performance deep learning library. In: NeurIPS
2019
Earlier work this paper cites.
Sitzmann V, Zollhöfer M, Wetzstein G (2019) Scene representation networks: Continuous 3d-structure-aware neural scene representations
2019
Earlier work this paper cites.
Gao M, Zhang Z, Yu G, Arık SÖ, Davis LS, Pfister T (2020) Consistency-based semi-supervised active learning: Towards minimizing labeling cost. In: ECCV, Springer, pp 510–526
2020
Earlier work this paper cites.
Liu L, Gu J, Lin KZ, Chua TS, Theobalt C (2020) Neural sparse voxel fields. In: NeurIPS
2020
Earlier work this paper cites.
Mildenhall B, Srinivasan PP, Tancik M, Barron JT, Ramamoorthi R, Ng R (2020) Nerf: Representing scenes as neural radiance fields for view synthesis. In: ECCV, Springer, pp 405–421
2020
Earlier work this paper cites.
Yen-Chen L (2020) Nerf-pytorch. https://github.com/yenchenlin/nerf-pytorch/
2020
Earlier work this paper cites.
Chan ER, Monteiro M, Kellnhofer P, Wu J, Wetzstein G (2021) pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis. In: CVPR, pp 5799–5809
2021
Earlier work this paper cites.
Gu J, Liu L, Wang P, Theobalt C (2021) Stylenerf: A style-based 3d-aware generator for high-resolution image synthesis. arXiv preprint arXiv:211008985
2021
Earlier work this paper cites.
Martin-Brualla R, Radwan N, Sajjadi MS, Barron JT, Dosovitskiy A, Duckworth D (2021) Nerf in the wild: Neural radiance fields for unconstrained photo collections. In: CVPR, pp 7210–7219
2021
Earlier work this paper cites.
Peng S, He Z, Zhang H, Yan R, Wang C, Zhu Q, Liu X (2021) Megloc: A robust and accurate visual localization pipeline. arXiv preprint arXiv:211113063
2021
Cited alongside, same era.
Radford A, Kim JW, Hallacy C, Ramesh A, Goh G, Agarwal S, Sastry G, Askell A, Mishkin P, Clark J, et al. (2021) Learning transferable visual models from natural language supervision. In: ICML, PMLR, pp 8748–8763
2021
Cited alongside, same era.
Reiser C, Peng S, Liao Y, Geiger A (2021) Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps. In: ICCV, pp 14335–14345
2021
Cited alongside, same era.
Ren P, Xiao Y, Chang X, Huang PY, Li Z, Gupta BB, Chen X, Wang X (2021) A survey of deep active learning. ACM computing surveys (CSUR) 54(9):1–40
2021
Cited alongside, same era.
Wizadwongsa S, Phongthawee P, Yenphraphai J, Suwajanakorn S (2021) Nex: Real-time view synthesis with neural basis expansion. In: CVPR, pp 8534–8543
Tang J, Chen X, Wang J, Zeng G (2022) Compressible-composable nerf via rank-residual decomposition. arXiv preprint arXiv:220514870
2022
Later among the works it cites.
Usvyatsov M, Ballester-Rippoll R, Bashaeva L, Schindler K, Ferrer G, Oseledets I (2022) T4dt: Tensorizing time for learning temporal 3d visual data. arXiv preprint arXiv:220801421
2022
Later among the works it cites.
Wu L, Lee JY, Bhattad A, Wang YX, Forsyth D (2022) Diver: Real-time and accurate neural radiance fields with deterministic integration for volume rendering. In: CVPR, pp 16200–16209
2022
Later among the works it cites.
Boreshban Y, Mirbostani SM, Ghassem-Sani G, Mirroshandel SA, Amiriparian S (2023) Improving question answering performance using knowledge distillation and active learning. Engineering Applications of Artificial Intelligence 123:106137
2023
Closest in time.
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2021
Cited alongside, same era.
Yu A, Li R, Tancik M, Li H, Ng R, Kanazawa A (2021) Plenoctrees for real-time rendering of neural radiance fields. In: ICCV, pp 5752–5761
2021
Cited alongside, same era.
Adamkiewicz M, Chen T, Caccavale A, Gardner R, Culbertson P, Bohg J, Schwager M (2022) Vision-only robot navigation in a neural radiance world. IEEE Robotics and Automation Letters 7(2):4606–4613
2022
Cited alongside, same era.
Barron JT, Mildenhall B, Verbin D, Srinivasan PP, Hedman P (2022) Mip-nerf 360: Unbounded anti-aliased neural radiance fields. In: CVPR, pp 5470–5479
2022
Cited alongside, same era.
Chen A, Xu Z, Geiger A, Yu J, Su H (2022) Tensorf: Tensorial radiance fields. arXiv preprint arXiv:220309517
2022
Cited alongside, same era.
Fridovich-Keil S, Yu A, Tancik M, Chen Q, Recht B, Kanazawa A (2022) Plenoxels: Radiance fields without neural networks. In: CVPR, pp 5501–5510
2022
Cited alongside, same era.
Kobayashi S, Matsumoto E, Sitzmann V (2022) Decomposing nerf for editing via feature field distillation. arXiv preprint arXiv:220515585
2022
Cited alongside, same era.
Moreau A, Piasco N, Tsishkou D, Stanciulescu B, de La Fortelle A (2022) Lens: Localization enhanced by nerf synthesis. In: CoRL, PMLR, pp 1347–1356
2022
Cited alongside, same era.
Cao J, Wang H, Chemerys P, Shakhrai V, Hu J, Fu Y, Makoviichuk D, Tulyakov S, Ren J (2023) Real-time neural light field on mobile devices. In: CVPR, pp 8328–8337
2023
Closest in time.
Leng H, Fang S, Wang Y, Zhang Z, Qi D, Ding W (2023) Dffg: Fast gradient iteration for data-free quantization. In: BMVC
2023
Closest in time.
Li Y, Lin ZH, Forsyth D, Huang JB, Wang S (2023) Climatenerf: Extreme weather synthesis in neural radiance field. In: CVPR, pp 3227–3238
2023
Closest in time.
Liu K, Zhan F, Chen Y, Zhang J, Yu Y, El Saddik A, Lu S, Xing EP (2023) Stylerf: Zero-shot 3d style transfer of neural radiance fields. In: CVPR, pp 8338–8348
2023
Closest in time.
Manjah D, Cacciarelli D, Standaert B, Benkedadra M, De Hertaing GR, Macq B, Galland S, De Vleeschouwer C (2023) Stream-based active distillation for scalable model deployment. In: CVPR, pp 4998–5006
2023
Closest in time.
Rangnekar A, Kanan C, Hoffman M (2023) Semantic segmentation with active semi-supervised learning. In: WACV, pp 5966–5977
2023
Closest in time.
Zhang Y, Chen G, Cui S (2023) Efficient large-scale scene representation with a hybrid of high-resolution grid and plane features. arXiv preprint arXiv:230303003
2023
Closest in time.
Hao Z, Guo J, Han K, Tang Y, Hu H, Wang Y, Xu C (2024) One-for-all: Bridge the gap between heterogeneous architectures in knowledge distillation. In: NeurIPS
2024
Closest in time.
Huang T, Zhang Y, Zheng M, You S, Wang F, Qian C, Xu C (2024) Knowledge diffusion for distillation. In: NeurIPS
2024
Closest in time.
Lou A, Planche B, Gao Z, Li Y, Luan T, Ding H, Chen T, Noble J, Wu Z (2024) Darenerf: Direction-aware representation for dynamic scenes. arXiv preprint arXiv:240302265
2024
Closest in time.
Wang Y, Fang S, Zhang H, Li H, Zhang Z, Zeng X, Ding W (2024) Uav-enerf: Text-driven uav scene editing with neural radiance fields. IEEE Transactions on Geoscience and Remote Sensing
2024
Closest in time.