Abstract
We present DNA-Rendering, a large-scale, high-fidelity repository of neural actor rendering represented by neural implicit fields of human actors. We provide human subjects with
- High Diversity: We collected a total of 500 individuals, with 527 different sets of clothing, 269 different types of daily actions, and 153 different types of special performances, including relevant interactive objects for some actions.
- High Fidelity: We construct professional multi-view system to capture data, which contains 60 synchronous cameras with max 4096 × 3000 resolution， 15fps speed.
- Rich Annotations: We provide off-the-shelf annotations including 2D/3D human body keypoints, foreground masks and SMPL-X models.
Highlight Data
Our dataset contains 500 actors and covers a wide range of special performances and everyday actions, including a large variety of costumes, makeup, and interaction object types. Click video to view 2K resolution video.
Core Features
Contributors
The DNA-Rendering Team
Huiwen Luo
Fan Lu
Yi Zhang
Contributed Members
Ruixiang Chen
Wanqi Yin
Qibin Yao
Keyu Chen
Mingyang Song
Zhongang Cai
Jingbo Wang
Zhengming Yu
Yang Gao
Zhengyu Lin
Daxuan Ren
Xiaopu Hao
Contact
We welcome contributions in the data and benchmarks of DNA-Rendering from the whole community! Interested in contributing or using DNA-Rendering, please feel free to drop an e-mail to Huiwen Luo (luohuiwen@pjlab.org.cn), and CC Wayne Wu (wuwenyan0503@gmail.com) and Kwan-Yee Lin (linjunyi9335@gmail.com).