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Representing visual signals by implicit representation (e.g., a coordinate based deep network) has prevailed among many vision tasks.
Drebin, R.A., Carpenter, L., Hanrahan, P.: Volume rendering. ACM Siggraph Computer Graphics 22
1988
Earlier work this paper cites.
Curless, B., Levoy, M.: A volumetric method for building complex models from range images. In: Proceedings of the 23rd annual conference on Computer graphics and interactive techniques. pp. 303–312 (1996)
1996
Earlier work this paper cites.
Kutulakos, K.N., Seitz, S.M.: A theory of shape by space carving. International journal of computer vision 38
2000
Earlier work this paper cites.
Zeng, K., Zhao, M., Xiong, C., Zhu, S.C.: From image parsing to painterly rendering. ACM Trans. Graph. 29
2009
Earlier work this paper cites.
Zhao, M., Zhu, S.C.: Customizing painterly rendering styles using stroke processes. In: Proceedings of the ACM SIGGRAPH/Eurographics Symposium on non-photorealistic animation and rendering. pp. 137–146 (2011)
2011
Earlier work this paper cites.
2014
Earlier work this paper cites.
Gatys, L., Ecker, A.S., Bethge, M.: Texture synthesis using convolutional neural networks. Advances in neural information processing systems 28
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
Aanæs, H., Jensen, R.R., Vogiatzis, G., Tola, E., Dahl, A.B.: Large-scale data for multiple-view stereopsis. International Journal of Computer Vision 120
2016
Earlier work this paper cites.
Iizuka, S., Simo-Serra, E., Ishikawa, H.: Let there be color! joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification. ACM Transactions on Graphics (ToG) 35
2016
Earlier work this paper cites.
Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: European conference on computer vision. pp. 694–711. Springer (2016)
2016
Earlier work this paper cites.
Ruder, M., Dosovitskiy, A., Brox, T.: Artistic style transfer for videos. In: German conference on pattern recognition. pp. 26–36. Springer (2016)
2016
Earlier work this paper cites.
Ulyanov, D., Lebedev, V., Vedaldi, A., Lempitsky, V.S.: Texture networks: Feed-forward synthesis of textures and stylized images. In: ICML. vol. 1, p. 4 (2016)
2016
Earlier work this paper cites.
Chen, D., Liao, J., Yuan, L., Yu, N., Hua, G.: Coherent online video style transfer. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1105–1114 (2017)
2017
Earlier work this paper cites.
Huang, X., Belongie, S.: Arbitrary style transfer in real-time with adaptive instance normalization. In: Proceedings of the IEEE international conference on computer vision. pp. 1501–1510 (2017)
2017
Earlier work this paper cites.
Yanai, K., Tanno, R.: Conditional fast style transfer network. In: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval. pp. 434–437 (2017)
2017
Earlier work this paper cites.
Gong, X., Huang, H., Ma, L., Shen, F., Liu, W., Zhang, T.: Neural stereoscopic image style transfer. In: Proceedings of the European Conference on Computer Vision (ECCV) (September 2018)
2018
Earlier work this paper cites.
Han, J., Jentzen, A., Weinan, E.: Solving high-dimensional partial differential equations using deep learning. Proceedings of the National Academy of Sciences 115
2018
Earlier work this paper cites.
Kato, H., Ushiku, Y., Harada, T.: Neural 3d mesh renderer. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 3907–3916 (2018)
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
Yao, Y., Luo, Z., Li, S., Fang, T., Quan, L.: Mvsnet: Depth inference for unstructured multi-view stereo. In: Proceedings of the European conference on computer vision (ECCV). pp. 767–783 (2018)
2018
Earlier work this paper cites.
Atzmon, M., Haim, N., Yariv, L., Israelov, O., Maron, H., Lipman, Y.: Controlling neural level sets. Advances in Neural Information Processing Systems 32
2019
Earlier work this paper cites.
Chen, Z., Zhang, H.: Learning implicit fields for generative shape modeling. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5939–5948 (2019)
2019
Earlier work this paper cites.
Genova, K., Cole, F., Vlasic, D., Sarna, A., Freeman, W.T., Funkhouser, T.: Learning shape templates with structured implicit functions. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 7154–7164 (2019)
2019
Earlier work this paper cites.
Mescheder, L., Oechsle, M., Niemeyer, M., Nowozin, S., Geiger, A.: Occupancy networks: Learning 3d reconstruction in function space. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4460–4470 (2019)
2019
Earlier work this paper cites.
Michalkiewicz, M., Pontes, J.K., Jack, D., Baktashmotlagh, M., Eriksson, A.: Implicit surface representations as layers in neural networks. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4743–4752 (2019)
2019
Earlier work this paper cites.
Mildenhall, B., Srinivasan, P.P., Ortiz-Cayon, R., Kalantari, N.K., Ramamoorthi, R., Ng, R., Kar, A.: Local light field fusion: Practical view synthesis with prescriptive sampling guidelines. ACM Transactions on Graphics (TOG) 38
2019
Earlier work this paper cites.
Niemeyer, M., Mescheder, L., Oechsle, M., Geiger, A.: Occupancy flow: 4d reconstruction by learning particle dynamics. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 5379–5389 (2019)
2019
Earlier work this paper cites.
Oechsle, M., Mescheder, L., Niemeyer, M., Strauss, T., Geiger, A.: Texture fields: Learning texture representations in function space. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 4531–4540 (2019)
2019
Earlier work this paper cites.
Park, J.J., Florence, P., Straub, J., Newcombe, R., Lovegrove, S.: Deepsdf: Learning continuous signed distance functions for shape representation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 165–174 (2019)
2019
Earlier work this paper cites.
Park, J.J., Florence, P., Straub, J., Newcombe, R., Lovegrove, S.: Deepsdf: Learning continuous signed distance functions for shape representation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 165–174 (2019)
2019
Cited alongside, same era.
Saito, S., Huang, Z., Natsume, R., Morishima, S., Kanazawa, A., Li, H.: Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 2304–2314 (2019)
2019
Cited alongside, same era.
Sitzmann, V., Zollhöfer, M., Wetzstein, G.: Scene representation networks: Continuous 3d-structure-aware neural scene representations. Advances in Neural Information Processing Systems 32
2019
Cited alongside, same era.
Aliev, K.A., Sevastopolsky, A., Kolos, M., Ulyanov, D., Lempitsky, V.: Neural point-based graphics. In: European Conference on Computer Vision. pp. 696–712. Springer (2020)
2020
Cited alongside, same era.
Chen, Y., Liu, S., Wang, X.: Learning continuous image representation with local implicit image function. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8628–8638 (2021)
2021
Later among the works it cites.
Chen, Y., Liu, S., Wang, X.: Learning continuous image representation with local implicit image function. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8628–8638 (2021)
2021
Later among the works it cites.
DeVries, T., Bautista, M.A., Srivastava, N., Taylor, G.W., Susskind, J.M.: Unconstrained scene generation with locally conditioned radiance fields. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 14304–14313 (2021)
2021
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2021
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Atzmon, M., Lipman, Y.: Sal: Sign agnostic learning of shapes from raw data. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2565–2574 (2020)
2020
Cited alongside, same era.
Chen, X., Zhang, Y., Wang, Y., Shu, H., Xu, C., Xu, C.: Optical flow distillation: Towards efficient and stable video style transfer. In: European Conference on Computer Vision. pp. 614–630. Springer (2020)
2020
Cited alongside, same era.
2020
Cited alongside, same era.
2020
Cited alongside, same era.
Gu, X., Fan, Z., Zhu, S., Dai, Z., Tan, F., Tan, P.: Cascade cost volume for high-resolution multi-view stereo and stereo matching. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2495–2504 (2020)
2020
Cited alongside, same era.
Jiang, C., Sud, A., Makadia, A., Huang, J., Nießner, M., Funkhouser, T., et al.: Local implicit grid representations for 3d scenes. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6001–6010 (2020)
2020
Cited alongside, same era.
Jiang, Y., Ji, D., Han, Z., Zwicker, M.: Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1251–1261 (2020)
2020
Cited alongside, same era.
2020
Cited alongside, same era.
2021
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Hao, Z., Mallya, A., Belongie, S., Liu, M.Y.: Gancraft: Unsupervised 3d neural rendering of minecraft worlds. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 14072–14082 (2021)
2021
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Hedman, P., Srinivasan, P.P., Mildenhall, B., Barron, J.T., Debevec, P.: Baking neural radiance fields for real-time view synthesis. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5875–5884 (2021)
2021
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2021
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Huang, H.P., Tseng, H.Y., Saini, S., Singh, M., Yang, M.H.: Learning to stylize novel views. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 13869–13878 (2021)
2021
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Martin-Brualla, R., Radwan, N., Sajjadi, M.S., Barron, J.T., Dosovitskiy, A., Duckworth, D.: Nerf in the wild: Neural radiance fields for unconstrained photo collections. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 7210–7219 (2021)
2021
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Meng, Q., Chen, A., Luo, H., Wu, M., Su, H., Xu, L., He, X., Yu, J.: Gnerf: Gan-based neural radiance field without posed camera. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 6351–6361 (2021)
2021
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2021
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2021
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Niemeyer, M., Geiger, A.: Giraffe: Representing scenes as compositional generative neural feature fields. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 11453–11464 (2021)
2021
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Park, K., Sinha, U., Barron, J.T., Bouaziz, S., Goldman, D.B., Seitz, S.M., Martin-Brualla, R.: Nerfies: Deformable neural radiance fields. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 5865–5874 (2021)
2021
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2021
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Shen, S., Wang, Z., Liu, P., Pan, Z., Li, R., Gao, T., Li, S., Yu, J.: Non-line-of-sight imaging via neural transient fields. IEEE Transactions on Pattern Analysis and Machine Intelligence (2021)
2021
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Shrestha, R., Fan, Z., Su, Q., Dai, Z., Zhu, S., Tan, P.: Meshmvs: Multi-view stereo guided mesh reconstruction. In: 2021 International Conference on 3D Vision (3DV). pp. 1290–1300. IEEE (2021)
2021
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2021
Later among the works it cites.
2021
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Yu, A., Ye, V., Tancik, M., Kanazawa, A.: pixelnerf: Neural radiance fields from one or few images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4578–4587 (2021)
2021
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2021
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Zhong, E.D., Bepler, T., Berger, B., Davis, J.H.: Cryodrgn: reconstruction of heterogeneous cryo-em structures using neural networks. Nature Methods 18
2021
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2021
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Chen, T., Wang, P., Fan, Z., Wang, Z.: Aug-nerf: Training stronger neural radiance fields with triple-level physically-grounded augmentations. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 15191–15202 (2022)
2022
Closest in time.
Chen, X., Zhang, Q., Li, X., Chen, Y., Feng, Y., Wang, X., Wang, J.: Hallucinated neural radiance fields in the wild. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12943–12952 (2022)
2022
Closest in time.
Chiang, P.Z., Tsai, M.S., Tseng, H.Y., Lai, W.S., Chiu, W.C.: Stylizing 3d scene via implicit representation and hypernetwork. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 1475–1484 (2022)
2022
Closest in time.
Huang, Y.H., He, Y., Yuan, Y.J., Lai, Y.K., Gao, L.: Stylizednerf: consistent 3d scene stylization as stylized nerf via 2d-3d mutual learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 18342–18352 (2022)
2022
Closest in time.
Wang, P., Fan, Z., Chen, T., Wang, Z.: Neural implicit dictionary learning via mixture-of-expert training. In: International Conference on Machine Learning. pp. 22613–22624. PMLR (2022)
2022
Closest in time.