1 code implementation • CVPR 2023 • Pu Li, Jianwei Guo, Xiaopeng Zhang, Dong-Ming Yan
Reverse engineering CAD models from raw geometry is a classic but strenuous research problem.
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.
1 code implementation • 23 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.
Ranked #3 on Surface Normals Estimation on PCPNet
1 code implementation • 27 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.
1 code implementation • 16 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.
no code implementations • 26 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.
no code implementations • 28 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.
1 code implementation • 16 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.
1 code implementation • 15 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.
1 code implementation • 19 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.
no code implementations • 4 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.
no code implementations • 28 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.
no code implementations • 17 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.
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.