1 code implementation • 25 May 2022 • Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
We propose to use pretraining to boost general image-to-image translation.
Ranked #1 on
Sketch-to-Image Translation
on COCO-Stuff
no code implementations • 25 Apr 2022 • Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang, Dong Chen, Qifeng Chen, Fang Wen
We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality.
1 code implementation • 27 Jan 2022 • Chenyang Lei, Yazhou Xing, Hao Ouyang, Qifeng Chen
A progressive propagation strategy with pseudo labels is also proposed to enhance DVP's performance on video propagation.
1 code implementation • ICCV 2021 • Hao Ouyang, Tengfei Wang, Qifeng Chen
We propose a novel framework for video inpainting by adopting an internal learning strategy.
1 code implementation • CVPR 2021 • Tengfei Wang, Hao Ouyang, Qifeng Chen
Although recent inpainting approaches have demonstrated significant improvements with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt colors when filling in the missing regions.
1 code implementation • CVPR 2021 • Hao Ouyang, Zifan Shi, Chenyang Lei, Ka Lung Law, Qifeng Chen
To facilitate the learning of a simulator model, we collect a dataset of the 10, 000 raw images of 450 scenes with different exposure settings.
no code implementations • 7 Jan 2019 • Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia
With this principle, we present two conceptually simple and yet computational efficient modules, namely Cascade Prediction Fusion (CPF) and Pose Graph Neural Network (PGNN), to exploit underlying contextual information.
Ranked #8 on
Pose Estimation
on MPII Human Pose