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Rendering moving human bodies at free viewpoints only from a monocular video is quite a challenging problem.
Optical models for direct volume rendering
Nelson Max · 1995
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Everybody dance now
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Github, 2021
Easymocap - make human motion capture easier · 2021
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Animatable neural radiance fields from monocular rgb videos, 2021
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Xu Chen, Yufeng Zheng, Michael J Black, Otmar Hilliges, and Andreas Geiger · 2021
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Kangle Deng, Andrew Liu, Jun-Yan Zhu, and Deva Ramanan · 2022
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Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
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Animatable neural radiance fields for modeling dynamic human bodies
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Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
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Geonerf: Generalizing nerf with geometry priors
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Devrf: Fast deformable voxel radiance fields for dynamic scenes
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Neural rays for occlusion-aware image-based rendering
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Instant neural graphics primitives with a multiresolution hash encoding
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Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction
Cheng Sun, Min Sun, and Hwann-Tzong Chen · 2022
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Fourier plenoctrees for dynamic radiance field rendering in real-time
Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu, Lan Xu, and Jingyi Yu · 2022
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Arah: Animatable volume rendering of articulated human sdfs
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Neural novel actor: Learning a generalized animatable neural representation for human actors
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HumanNeRF: Free-viewpoint rendering of moving people from monocular video
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ICON: Implicit Clothed humans Obtained from Normals
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Point-nerf: Point-based neural radiance fields
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Plenoxels: Radiance fields without neural networks
Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, and Angjoo Kanazawa · 2022
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Humannerf: Efficiently generated human radiance field from sparse inputs
Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, and Lan Xu · 2022
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Learning neural volumetric representations of dynamic humans in minutes
Chen Geng, Sida Peng, Zhen Xu, Hujun Bao, and Xiaowei Zhou · 2023
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