no code implementations • 18 Apr 2024 • Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi
We demonstrate that our approach is competitive with state-of-the-art inpainting methods in terms of quality and fidelity while providing a 10x speedup for typical user interactions, where the editing mask represents 10% of the image.
no code implementations • 1 Jan 2024 • Wenjie Pei, Weina Xu, Zongze Wu, Weichao Li, Jinfan Wang, Guangming Lu, Xiangrong Wang
In this work, we propose the Saliency-Aware Regularized Graph Neural Network (SAR-GNN) for graph classification, which consists of two core modules: 1) a traditional graph neural network serving as the backbone for learning node features and 2) the Graph Neural Memory designed to distill a compact graph representation from node features of the backbone.
no code implementations • 14 Oct 2023 • Jiezhou Chen, Guankun Wang, Weixiang Liu, Xiaopin Zhong, Yibin Tian, Zongze Wu
Head detection provides distribution information of pedestrian, which is crucial for scene statistical analysis, traffic management, and risk assessment and early warning.
no code implementations • 18 Mar 2023 • Jianye Yi, Xiaopin Zhong, Weixiang Liu, Wenxuan Zhu, Zongze Wu, Yuanlong Deng
Therefore, we propose an abstract and universal edge supervision method called Edge-aware Plug-and-play Scheme (EPS), which can be easily and quickly applied to any semantic segmentation models.
no code implementations • CVPR 2023 • Jin Lin, Xiaotong Luo, Ming Hong, Yanyun Qu, Yuan Xie, Zongze Wu
In the forward stage, we take advantage of LTH with rewinding weights to progressively shrink the SR model and the pruning-out masks that form nested sets.
1 code implementation • 22 Dec 2022 • Xiaopin Zhong, Guankun Wang, Weixiang Liu, Zongze Wu, Yuanlong Deng
As a fundamental computer vision task, crowd counting plays an important role in public safety.
no code implementations • 10 Nov 2022 • Jianye Yi, Xiaopin Zhong, Weixiang Liu, Zongze Wu, Yuanlong Deng, Zhengguang Wu
This extreme imbalance makes it difficult to segment the THC of PV module cells, which is also a challenge for semantic segmentation.
3 code implementations • 20 Jun 2022 • Xudong Tian, Zhizhong Zhang, Cong Wang, Wensheng Zhang, Yanyun Qu, Lizhuang Ma, Zongze Wu, Yuan Xie, DaCheng Tao
Information Bottleneck (IB) based multi-view learning provides an information theoretic principle for seeking shared information contained in heterogeneous data descriptions.
1 code implementation • 31 Jan 2022 • Yuval Alaluf, Or Patashnik, Zongze Wu, Asif Zamir, Eli Shechtman, Dani Lischinski, Daniel Cohen-Or
In particular, we demonstrate that while StyleGAN3 can be trained on unaligned data, one can still use aligned data for training, without hindering the ability to generate unaligned imagery.
1 code implementation • ICLR 2022 • Zongze Wu, Yotam Nitzan, Eli Shechtman, Dani Lischinski
Several works already utilize some basic properties of aligned StyleGAN models to perform image-to-image translation.
5 code implementations • ICCV 2021 • Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski
Inspired by the ability of StyleGAN to generate highly realistic images in a variety of domains, much recent work has focused on understanding how to use the latent spaces of StyleGAN to manipulate generated and real images.
6 code implementations • CVPR 2021 • Zongze Wu, Dani Lischinski, Eli Shechtman
Manipulation of visual attributes via these StyleSpace controls is shown to be better disentangled than via those proposed in previous works.
no code implementations • 26 Aug 2016 • Xi Liu, Badong Chen, Bin Xu, Zongze Wu, Paul Honeine
To improve the robustness of the UKF against impulsive noises, a new filter for nonlinear systems is proposed in this work, namely the maximum correntropy unscented filter (MCUF).