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We propose a new method for learning a generalized animatable neural human representation from a sparse set of multi-view imagery of multiple persons.
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Attention is All you Need
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A. Gropp, L. Yariv, N. Haim, M. Atzmon, and Y. Lipman · 2020
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Deepcap: Monocular human performance capture using weak supervision
M. Habermann, W. Xu, M. Zollhofer, G. Pons-Moll, and C. Theobalt · 2020
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Arch: Animatable reconstruction of clothed humans
Z. Huang, Y. Xu, C. Lassner, H. Li, and T. Tung · 2020
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Rotationally-temporally consistent novel view synthesis of human performance video
Y. Kwon, S. Petrangeli, D. Kim, H. Wang, E. Park, V. Swaminathan, and H. Fuchs · 2020
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Rotationally-temporally consistent novel view synthesis of human performance video
Y. Kwon, S. Petrangeli, D. Kim, H. Wang, E. Park, V. Swaminathan, and H. Fuchs · 2020
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Towards unsupervised learning of generative models for 3d controllable image synthesis
Y. Liao, K. Schwarz, L. Mescheder, and A. Geiger · 2020
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Neural human video rendering by learning dynamic textures and rendering-to-video translation
L. Liu, W. Xu, M. Habermann, M. Zollhöfer, F. Bernard, H. Kim, W. Wang, and C. Theobalt · 2020
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S. Peng, J. Dong, Q. Wang, S. Zhang, Q. Shuai, X. Zhou, and H. Bao · 2021
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Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
S. Peng, Y. Zhang, Y. Xu, Q. Wang, Q. Shuai, H. Bao, and X. Zhou · 2021
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Train short, test long: Attention with linear biases enables input length extrapolation
O. Press, N. A. Smith, and M. Lewis · 2021
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D-nerf: Neural radiance fields for dynamic scenes
A. Pumarola, E. Corona, G. Pons-Moll, and F. Moreno-Noguer · 2021
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A-nerf: Articulated neural radiance fields for learning human shape, appearance, and pose
S.-Y. Su, F. Yu, M. Zollhöfer, and H. Rhodin · 2021
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Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
E. Tretschk, A. Tewari, V. Golyanik, M. Zollhöfer, C. Lassner, and C. Theobalt · 2021
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NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
P. Wang, L. Liu, Y. Liu, C. Theobalt, T. Komura, and W. Wang · 2021
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Ibrnet: Learning multi-view image-based rendering
Q. Wang, Z. Wang, K. Genova, P. P. Srinivasan, H. Zhou, J. T. Barron, R. Martin-Brualla, N. Snavely, and T. Funkhouser · 2021
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Space-time neural irradiance fields for free-viewpoint video
W. Xian, J.-B. Huang, J. Kopf, and C. Kim · 2021
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Neutex: Neural texture mapping for volumetric neural rendering
F. Xiang, Z. Xu, M. Hasan, Y. Hold-Geoffroy, K. Sunkavalli, and H. Su · 2021
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Dd-nerf: Double-diffusion neural radiance field as a generalizable implicit body representation
G. Yao, H. Wu, Y. Yuan, and K. Zhou · 2021
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Volume rendering of neural implicit surfaces
L. Yariv, J. Gu, Y. Kasten, and Y. Lipman · 2021
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pixelnerf: Neural radiance fields from one or few images
A. Yu, V. Ye, M. Tancik, and A. Kanazawa · 2021
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Humannerf: Generalizable neural human radiance field from sparse inputs
F. Zhao, W. Yang, J. Zhang, P. Lin, Y. Zhang, J. Yu, and L. Xu · 2021
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Hdhumans: A hybrid approach for high-fidelity digital humans
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X. Gao, J. Yang, J. Kim, S. Peng, Z. Liu, and X. Tong · 2022
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Humannerf: Free-viewpoint rendering of moving people from monocular video
C.-Y. Weng, B. Curless, P. P. Srinivasan, J. T. Barron, and I. Kemelmacher-Shlizerman · 2022
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Surface-aligned neural radiance fields for controllable 3d human synthesis
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