You can typically find the paper and related code on platforms like or the project's official GitHub repository by searching for "1pon dataset" or "Video-based 3D Person Reconstruction."
Paper Details
The paper establishes a benchmark for reconstructing the 3D shape and pose of multiple people from monocular video sequences. 090622_001-1pon.mp4
The file name 090622_001-1pon.mp4 follows the dataset's standard indexing, where 090622 typically refers to the capture date or session ID, and 001 identifies the specific subject or sequence. You can typically find the paper and related
The dataset and paper were developed by researchers at Sensetime and the University of Tokyo . 090622_001-1pon.mp4
The video file is a sample from the 100-Person (1pon) Dataset , which was introduced in the following research paper: