ANR: Articulated Neural Rendering for Virtual Avatars
Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner
2021Year
26Top-tier citations
Abstract
3 Facebook Reality Labs 4 Epic Games Figure 1: We present Articulated Neural Rendering (ANR), a rendering framework capable of producing highly realistic avatars. Similar to Deferred Neural Rendering (DNR) [38], ANR uses neural networks to convert a latent texture on a coarse mesh (left) into an RGB image (right). Unlike DNR, which is ineffective when the mesh geometry is inaccurate or deforms during motion, ANR explicitly accounts for such geometric misalignment and pose-dependent deformation.
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Cited by top-tier papers26
- Animatable Neural Radiance Fields for Modeling Dynamic Human BodiesSida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang et al.ICCV 2021 · 461 citations
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- Panoptic Neural Fields: A Semantic Object-Aware Neural Scene RepresentationAbhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi et al.CVPR 2022 · 204 citations
- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian SplattingZhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger et al.CVPR 2024 · 131 citations
- The Power of Points for Modeling Humans in ClothingQianli Ma, Jinlong Yang, Siyu Tang, Michael J. BlackICCV 2021 · 124 citations
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- Everybody Dance NowCaroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. EfrosICCV 2019 · 840 citations
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- Adversarial Texture Optimization From RGB-D ScansJingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu et al.CVPR 2020
- DeepCap: Monocular Human Performance Capture Using Weak SupervisionMarc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll et al.CVPR 2020
- ARCH: Animatable Reconstruction of Clothed HumansZeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li et al.CVPR 2020
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