no code implementations • 15 Dec 2022 • BoWen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects.
1 code implementation • 14 Jul 2022 • Chenyang Qi, Junming Chen, Xin Yang, Qifeng Chen
Recent multi-output inference works propagate the bidirectional temporal feature with a parallel or recurrent framework, which either suffers from performance drops on the temporal edges of clips or can not achieve online inference.
Ranked #1 on
Video Denoising
on CRVD
1 code implementation • CVPR 2022 • Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen
We present a new data-driven approach with physics-based priors to scene-level normal estimation from a single polarization image.
no code implementations • 7 Aug 2021 • Chenyang Lei, Xuhua Huang, Chenyang Qi, Yankun Zhao, Wenxiu Sun, Qiong Yan, Qifeng Chen
Due to the lack of a large-scale reflection removal dataset with diverse real-world scenes, many existing reflection removal methods are trained on synthetic data plus a small amount of real-world data, which makes it difficult to evaluate the strengths or weaknesses of different reflection removal methods thoroughly.