1 code implementation • 1 Sep 2023 • Haozhe Xie, Zhaoxi Chen, Fangzhou Hong, Ziwei Liu
3D city generation is a desirable yet challenging task, since humans are more sensitive to structural distortions in urban environments.
Ranked #1 on Scene Generation on OSM
2 code implementations • International Journal of Computer Vision 2023 • Shengping Zhang, Xianzhu Liu, Haozhe Xie, Liqiang Nie, Huiyu Zhou, DaCheng Tao, Xuelong Li
It exploits the repetitive geometric structures in common 3D objects to recover the complete shapes, which contains three sub-networks: geometric patch network, structure transformation network, and detail refinement network.
Ranked #4 on Point Cloud Completion on ShapeNet
1 code implementation • 22 Jul 2022 • Huicong Zhang, Haozhe Xie, Hongxun Yao
The key success factor of the video deblurring methods is to compensate for the blurry pixels of the mid-frame with the sharp pixels of the adjacent video frames.
1 code implementation • 25 Sep 2021 • Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji
Finally, we use the matting module which takes the image, trimap and context features to estimate the alpha matte.
Ranked #6 on Image Matting on Composition-1K (using extra training data)
1 code implementation • CVPR 2021 • Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun
For the current query frame, the query regions are tracked and predicted based on the optical flow estimated from the previous frame.
3 code implementations • 22 Jun 2020 • Haozhe Xie, Hongxun Yao, Shengping Zhang, Shangchen Zhou, Wenxiu Sun
A multi-scale context-aware fusion module is then introduced to adaptively select high-quality reconstructions for different parts from all coarse 3D volumes to obtain a fused 3D volume.
Ranked #3 on 3D Object Reconstruction on Data3D−R2N2
1 code implementation • ECCV 2020 • Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun
In particular, we devise two novel differentiable layers, named Gridding and Gridding Reverse, to convert between point clouds and 3D grids without losing structural information.
Ranked #3 on Point Cloud Completion on Completion3D
no code implementations • CVPR 2021 • Shuo Yang, Min Xu, Haozhe Xie, Stuart Perry, Jiahao Xia
Inspired by this, we propose a novel method, named Mem3D, that explicitly constructs shape priors to supplement the missing information in the image.
1 code implementation • 18 Oct 2019 • Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Xiaoshuai Sun, Wenxiu Sun
Inferring the 3D shape of an object from an RGB image has shown impressive results, however, existing methods rely primarily on recognizing the most similar 3D model from the training set to solve the problem.
1 code implementation • ICCV 2019 • Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Haozhe Xie, WangMeng Zuo, Jimmy Ren
To overcome the limitation of separate optical flow estimation, we propose a Spatio-Temporal Filter Adaptive Network (STFAN) for the alignment and deblurring in a unified framework.
Ranked #3 on Deblurring on DVD (using extra training data)
1 code implementation • CVPR 2019 • Shangchen Zhou, Jiawei Zhang, WangMeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren
Nowadays stereo cameras are more commonly adopted in emerging devices such as dual-lens smartphones and unmanned aerial vehicles.
5 code implementations • ICCV 2019 • Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang
Then, a context-aware fusion module is introduced to adaptively select high-quality reconstructions for each part (e. g., table legs) from different coarse 3D volumes to obtain a fused 3D volume.
Ranked #4 on 3D Object Reconstruction on Data3D−R2N2
no code implementations • 14 Jun 2017 • Haozhe Xie, Jie Li, Hanqing Xue
Dimensionality reduction techniques play important roles in the analysis of big data.
no code implementations • 25 Aug 2016 • Haozhe Xie, Jie Li, Qiaosheng Zhang, Yadong Wang
FS followed by RP outperforms other combination methods in classification accuracy on most of the datasets.