Search Results for author: Haoxian Zhang

Found 8 papers, 4 papers with code

A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation

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.

Optical Flow Estimation Video Frame Interpolation

Learning Audio-Driven Viseme Dynamics for 3D Face Animation

no code implementations15 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.

3D Face Animation

FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction

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.

3D Face Reconstruction

HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking

no code implementations19 Sep 2022 Haoxian Zhang, Yonggen Ling

Second, we jointly learn the homography and visibility that links camera-object relative motions with occlusions.

Object Object Tracking

REALY: Rethinking the Evaluation of 3D Face Reconstruction

1 code implementation18 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.

3D Face Reconstruction

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

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.

Translation Unsupervised Image-To-Image Translation

High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies

2 code implementations12 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.

Vocal Bursts Intensity Prediction

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