no code implementations • ECCV 2020 • Haoxian Zhang, Yang Zhao, Ronggang Wang
Inspired by classical pyramid energy minimization optical flow algorithms, this paper proposes a recurrent residual pyramid network (RRPN) for video frame interpolation.
no code implementations • 15 Jan 2023 • Linchao Bao, Haoxian Zhang, Yue Qian, Tangli Xue, Changhai Chen, Xuefei Zhe, Di Kang
We show that the predicted viseme curves can be applied to different viseme-rigged characters to yield various personalized animations with realistic and natural facial motions.
1 code implementation • CVPR 2023 • Haoran Bai, Di Kang, Haoxian Zhang, Jinshan Pan, Linchao Bao
Our pipeline utilizes the recent advances in StyleGAN-based facial image editing approaches to generate multi-view normalized face images from single-image inputs.
Ranked #3 on 3D Face Reconstruction on REALY
1 code implementation • 3 Oct 2022 • Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Marco De Nadai
Multi-domain image-to-image (I2I) translations can transform a source image according to the style of a target domain.
no code implementations • 19 Sep 2022 • Haoxian Zhang, Yonggen Ling
Second, we jointly learn the homography and visibility that links camera-object relative motions with occlusions.
1 code implementation • 18 Mar 2022 • Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao
The evaluation of 3D face reconstruction results typically relies on a rigid shape alignment between the estimated 3D model and the ground-truth scan.
no code implementations • CVPR 2021 • Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai
In this paper, we propose a new training protocol based on three specific losses which help a translation network to learn a smooth and disentangled latent style space in which: 1) Both intra- and inter-domain interpolations correspond to gradual changes in the generated images and 2) The content of the source image is better preserved during the translation.
2 code implementations • 12 Oct 2020 • Linchao Bao, Xiangkai Lin, Yajing Chen, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Di Kang, HaoZhi Huang, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang
We present a fully automatic system that can produce high-fidelity, photo-realistic 3D digital human heads with a consumer RGB-D selfie camera.