1 code implementation • 7 Mar 2024 • Yuanhao Cai, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan Yuille
X-ray is widely applied for transmission imaging due to its stronger penetration than natural light.
1 code implementation • 18 Nov 2023 • Yuanhao Cai, Jiahao Wang, Alan Yuille, Zongwei Zhou, Angtian Wang
In this paper, we propose a framework, Structure-Aware X-ray Neural Radiodensity Fields (SAX-NeRF), for sparse-view X-ray 3D reconstruction.
Ranked #1 on Low-Dose X-Ray Ct Reconstruction on X3D
1 code implementation • NeurIPS 2023 • Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang
In this paper, we present Motion-X, a large-scale 3D expressive whole-body motion dataset.
2 code implementations • NeurIPS 2023 • Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang
Finally, our BiSRNet is derived by using the proposed techniques to binarize the base model.
no code implementations • 14 Mar 2023 • Xiangwen Deng, Yingshuang Zou, Yuanhao Cai, Chendong Zhao, Yang Liu, Zhifang Liu, Yuxiao Liu, Jiawei Zhou, Haoqian Wang
To solve this problem, we propose a novel method, namely Face-guided Dual Style Transfer (FDST).
5 code implementations • ICCV 2023 • Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang
When enhancing low-light images, many deep learning algorithms are based on the Retinex theory.
Ranked #1 on Low-Light Image Enhancement on SDSD-outdoor
Low-light Image Deblurring and Enhancement Low-Light Image Enhancement +3
1 code implementation • 20 May 2022 • Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc van Gool
In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from a compressed measurement.
Ranked #1 on Spectral Reconstruction on Real HSI
1 code implementation • 20 May 2022 • Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc van Gool
On the other hand, we equip the sequence-to-sequence model with an unsupervised optical flow estimator to maximize its potential.
Ranked #2 on Video Enhancement on MFQE v2
3 code implementations • 17 Apr 2022 • Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc van Gool
Existing leading methods for spectral reconstruction (SR) focus on designing deeper or wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB image to its hyperspectral image (HSI).
Ranked #1 on Spectral Reconstruction on ARAD-1K
2 code implementations • NeurIPS 2021 • Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Donglai Wei
Additionally, for better noise fitting, we present an efficient architecture Simple Multi-scale Network (SMNet) as the generator.
Ranked #1 on Noise Estimation on SIDD
1 code implementation • 9 Mar 2022 • Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc van Gool
Many algorithms have been developed to solve the inverse problem of coded aperture snapshot spectral imaging (CASSI), i. e., recovering the 3D hyperspectral images (HSIs) from a 2D compressive measurement.
Ranked #2 on Spectral Reconstruction on Real HSI
2 code implementations • CVPR 2022 • Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc van Gool
On the one hand, the proposed HR spatial-spectral attention module with its efficient feature fusion provides continuous and fine pixel-level features.
Ranked #5 on Spectral Reconstruction on Real HSI
1 code implementation • 6 Jan 2022 • Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc van Gool
Exploiting similar and sharper scene patches in spatio-temporal neighborhoods is critical for video deblurring.
Ranked #1 on Deblurring on DVD
1 code implementation • 3 Jan 2022 • Zhuo Deng, Yuanhao Cai, Lu Chen, Zheng Gong, Qiqi Bao, Xue Yao, Dong Fang, Shaochong Zhang, Lan Ma
In this paper, we investigate the real clinical fundus image restoration problem.
3 code implementations • CVPR 2022 • Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc van Gool
The HSI representations are highly similar and correlated across the spectral dimension.
Ranked #2 on Spectral Reconstruction on ARAD-1K
no code implementations • CVPR 2021 • Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, Haoqian Wang
The extraction of auto-correlation in images has shown great potential in deep learning networks, such as the self-attention mechanism in the channel domain and the self-similarity mechanism in the spatial domain.
no code implementations • 13 Dec 2020 • Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, GuanAn Wang, Yan Huang, Liang Wang, Erjin Zhou, Tieniu Tan, Jian Sun
Instead, we focus on exploiting multi-scale information from layers with different receptive-field sizes and then making full of use this information by improving the fusion method.
4 code implementations • ECCV 2020 • Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun
To tackle this problem, we propose an efficient attention mechanism - Pose Refine Machine (PRM) to make a trade-off between local and global representations in output features and further refine the keypoint locations.
Ranked #1 on Keypoint Detection on COCO test-challenge