Haitian Zeng — accepted AI-conference papers

2022

MHR-Net: Multiple-Hypothesis Reconstruction of Non-rigid Shapes from 2D Views

Haitian Zeng, Xin Yu, Jiaxu Miao, Yi Yang

ECCV 2022poster

"We propose MHR-Net, a novel method for recovering Non-Rigid Shapes from Motion (NRSfM). MHR-Net aims to find a set of reasonable reconstructions for a 2D view, and it also selects the most likely reconstruction from the set. To deal with the challenging unsupervised generation of non-rigid shapes,…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗

2021

PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-Rigid Structure-From-Motion

Haitian Zeng, Yuchao Dai, Xin Yu, Xiaohan Wang, Yi Yang

ICCV 2021poster

We propose PR-RRN, a novel neural-network based method for Non-rigid Structure-from-Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra regularization losses. RRN is designed to effectively recover 3D shape and camera from 2D keypoints with novel residual-recursive str…

Cited by 13 PDF ↗Scholar ↗