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We present a method for estimating neural scenes representations of objects given only a single image.
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Neural face editing with intrinsic image disentangling
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Multi-view supervision for single-view reconstruction via differentiable ray consistency
Tulsiani, S., Zhou, T., Efros, A. A., and Malik, J · 2017
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Optimizing the Latent Space of Generative Networks
Bojanowski, P., Joulin, A., Lopez-Pas, D., and Szlam, A · 2018
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Neural scene representation and rendering
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Insafutdinov, E. and Dosovitskiy, A · 2018
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Li, T.-M., Aittala, M., Durand, F., and Lehtinen, J · 2018
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Equivariant neural rendering
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Ganspace: Discovering interpretable gan controls
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
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Free view synthesis
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Sun, X., Wu, J., Zhang, X., Zhang, Z., Zhang, C., Xue, T., Tenenbaum, J. B., and Freeman, W. T · 2018
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Wang, N., Zhang, Y., Li, Z., Fu, Y., Liu, W., and Jiang, Y.-G · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Zhang, R., Isola, P., Efros, A. A., Shechtman, E., and Wang, O · 2018
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MetaSDF: Meta-learning signed distance functions
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State of the art on neural rendering
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Grf: Learning a general radiance field for 3d scene representation and rendering
Trevithick, A. and Yang, B · 2020
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SynSin: End-to-end view synthesis from a single image
Wiles, O., Gkioxari, G., Szeliski, R., and Johnson, J · 2020
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Unsupervised learning of probably symmetric deformable 3d objects from images in the wild
Wu, S., Rupprecht, C., and Vedaldi, A · 2020
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Front2back: Single view 3d shape reconstruction via front to back prediction
Yao, Y., Schertler, N., Rosales, E., Rhodin, H., Sigal, L., and Sheffer, A · 2020
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Unconstrained scene generation with locally conditioned radiance fields
DeVries, T., Bautista, M. A., Srivastava, N., Taylor, G. W., and Susskind, J. M · 2021
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GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
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Stable view synthesis
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pixelNeRF: Neural radiance fields from one or few images
Yu, A., Ye, V., Tancik, M., and Kanazawa, A · 2021
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