Search Results for author: Dong-Ming Yan

Found 14 papers, 8 papers with code

DPE: Disentanglement of Pose and Expression for General Video Portrait Editing

1 code implementation CVPR 2023 Youxin Pang, Yong Zhang, Weize Quan, Yanbo Fan, Xiaodong Cun, Ying Shan, Dong-Ming Yan

In this paper, we introduce a novel self-supervised disentanglement framework to decouple pose and expression without 3DMMs and paired data, which consists of a motion editing module, a pose generator, and an expression generator.

Disentanglement Talking Face Generation +1

GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation

1 code implementation23 Jul 2022 Keqiang Li, Mingyang Zhao, Huaiyu Wu, Dong-Ming Yan, Zhen Shen, Fei-Yue Wang, Gang Xiong

We propose a precise and efficient normal estimation method that can deal with noise and nonuniform density for unstructured 3D point clouds.

Surface Normals Estimation

SARNet: Semantic Augmented Registration of Large-Scale Urban Point Clouds

1 code implementation27 Jun 2022 Chao Liu, Jianwei Guo, Dong-Ming Yan, Zhirong Liang, Xiaopeng Zhang, Zhanglin Cheng

Registering urban point clouds is a quite challenging task due to the large-scale, noise and data incompleteness of LiDAR scanning data.

Semantic Segmentation

Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image

1 code implementation16 Nov 2021 Mingxin Yang, Jianwei Guo, Zhanglin Cheng, Xiaopeng Zhang, Dong-Ming Yan

To further make facial textures disentangled with illumination, we propose a novel detailed illumination representation which is reconstructed with the detailed albedo together.

3D Face Reconstruction Disentanglement +1

Robust Multi-view Registration of Point Sets with Laplacian Mixture Model

no code implementations26 Oct 2021 Jin Zhang, Mingyang Zhao, Xin Jiang, Dong-Ming Yan

The proposed method assumes each data point is generated by a Laplacian Mixture Model (LMM), where its centers are determined by the corresponding points in other point sets.

3D Reconstruction

Diffractive lensless imaging with optimized Voronoi-Fresnel phase

no code implementations28 Sep 2021 Qiang Fu, Dong-Ming Yan, Wolfgang Heidrich

Here we report a diffractive lensless camera with spatially-coded Voronoi-Fresnel phase to achieve superior image quality.

Text-Aware Single Image Specular Highlight Removal

1 code implementation16 Aug 2021 Shiyu Hou, Chaoqun Wang, Weize Quan, Jingen Jiang, Dong-Ming Yan

The core goal is to improve the accuracy of text detection and recognition by removing the highlight from text images.

Highlight Detection highlight removal

LARNet: Lie Algebra Residual Network for Face Recognition

1 code implementation15 Mar 2021 Xiaolong Yang, Xiaohong Jia, Dihong Gong, Dong-Ming Yan, Zhifeng Li, Wei Liu

We prove that face rotation in the image space is equivalent to an additive residual component in the feature space of CNNs, which is determined solely by the rotation.

Face Recognition Robust Face Recognition

Scene text removal via cascaded text stroke detection and erasing

1 code implementation19 Nov 2020 Xuewei Bian, Chaoqun Wang, Weize Quan, Juntao Ye, Xiaopeng Zhang, Dong-Ming Yan

Specifically, we decouple the text removal problem into text stroke detection and stroke removal.

Pixel-wise Dense Detector for Image Inpainting

no code implementations4 Nov 2020 Ruisong Zhang, Weize Quan, Baoyuan Wu, Zhifeng Li, Dong-Ming Yan

Recent GAN-based image inpainting approaches adopt an average strategy to discriminate the generated image and output a scalar, which inevitably lose the position information of visual artifacts.

Image Inpainting Weakly-supervised Learning

MGCN: Descriptor Learning using Multiscale GCNs

no code implementations28 Jan 2020 Yiqun Wang, Jing Ren, Dong-Ming Yan, Jianwei Guo, Xiaopeng Zhang, Peter Wonka

Second, we propose a new multiscale graph convolutional network (MGCN) to transform a non-learned feature to a more discriminative descriptor.

Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization

no code implementations17 Feb 2019 Weize Quan, Dong-Ming Yan, Kai Wang, Xiaopeng Zhang, Denis Pellerin

First, we design and implement a base network, which can attain better performance in terms of classification accuracy and generalization (in most cases) compared with state-of-the-art methods.

Colorization General Classification +1

Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching

no code implementations ECCV 2018 Hanyu Wang, Jianwei Guo, Dong-Ming Yan, Weize Quan, Xiaopeng Zhang

In this paper, we present a novel deep learning framework that derives discriminative local descriptors for 3D surface shapes.

Metric Learning

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