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We present a new generalizable NeRF method that is able to directly generalize to new unseen scenarios and perform novel view synthesis with as few as two source views.
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2021
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Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin, and B. Guo, “Swin transformer: Hierarchical vision transformer using shifted windows,” in ICCV , 2021, pp. 10 012–10 022
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M. Niemeyer and A. Geiger, “Giraffe: Representing scenes as compositional generative neural feature fields,” in CVPR , 2021, pp. 11 453–11 464
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J. T. Barron, B. Mildenhall, D. Verbin, P. P. Srinivasan, and P. Hedman, “Mip-nerf 360: Unbounded anti-aliased neural radiance fields,” in CVPR , 2022, pp. 5470–5479
2022
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B. Mildenhall, P. Hedman, R. Martin-Brualla, P. P. Srinivasan, and J. T. Barron, “Nerf in the dark: High dynamic range view synthesis from noisy raw images,” in CVPR , 2022, pp. 16 190–16 199
2022
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D. Verbin, P. Hedman, B. Mildenhall, T. Zickler, J. T. Barron, and P. P. Srinivasan, “Ref-nerf: Structured view-dependent appearance for neural radiance fields,” in CVPR . IEEE, 2022, pp. 5481–5490
2022
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M. M. Johari, Y. Lepoittevin, and F. Fleuret, “Geonerf: Generalizing nerf with geometry priors,” in CVPR , 2022, pp. 18 365–18 375
2022
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Y. Liu, S. Peng, L. Liu, Q. Wang, P. Wang, C. Theobalt, X. Zhou, and W. Wang, “Neural rays for occlusion-aware image-based rendering,” in CVPR , 2022, pp. 7824–7833
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B. Kerbl, G. Kopanas, T. Leimkühler, and G. Drettakis, “3d gaussian splatting for real-time radiance field rendering.” ACM TOG , vol. 42, no. 4, pp. 139–1, 2023
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P. Truong, M.-J. Rakotosaona, F. Manhardt, and F. Tombari, “Sparf: Neural radiance fields from sparse and noisy poses,” in CVPR , 2023, pp. 4190–4200
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J. Yang, M. Pavone, and Y. Wang, “Freenerf: Improving few-shot neural rendering with free frequency regularization,” in CVPR , 2023, pp. 8254–8263
2023
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G. Wang, Z. Chen, C. C. Loy, and Z. Liu, “Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,” ICCV , 2023
2023
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R. Liu, R. Wu, B. Van Hoorick, P. Tokmakov, S. Zakharov, and C. Vondrick, “Zero-1-to-3: Zero-shot one image to 3d object,” in ICCV , 2023, pp. 9298–9309
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J. Tang, T. Wang, B. Zhang, T. Zhang, R. Yi, L. Ma, and D. Chen, “Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior,” in ICCV , 2023, pp. 22 819–22 829
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M. V. T, P. Wang, X. Chen, T. Chen, S. Venugopalan, and Z. Wang, “Is attention all that neRF needs?” in ICLR , 2023
2023
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