no code implementations • 29 Nov 2023 • Shen Zhang, Zhaowei Chen, Zhenyu Zhao, Zhenyuan Chen, Yao Tang, Yuhao Chen, Wengang Cao, Jiajun Liang
We introduce HiDiffusion, a tuning-free framework comprised of Resolution-Aware U-Net (RAU-Net) and Modified Shifted Window Multi-head Self-Attention (MSW-MSA) to enable pretrained large text-to-image diffusion models to efficiently generate high-resolution images (e. g. 1024$\times$1024) that surpass the training image resolution.
1 code implementation • CVPR 2023 • Yuhao Chen, Xin Tan, Borui Zhao, Zhaowei Chen, RenJie Song, Jiajun Liang, Xuequan Lu
ANL introduces the additional negative pseudo-label for all unlabeled data to leverage low-confidence examples.
no code implementations • 28 Oct 2022 • Zhaowei Chen, Peng Li, Zeyong Wei, Honghua Chen, Haoran Xie, Mingqiang Wei, Fu Lee Wang
We propose GeoGCN, a novel geometric dual-domain graph convolution network for point cloud denoising (PCD).
1 code implementation • 4 Feb 2020 • Tong Liu, Zhaowei Chen, Yi Yang, Zehao Wu, Haowei Li
Nowadays, deep learning techniques are widely used for lane detection, but application in low-light conditions remains a challenge until this day.