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MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution
IEEE Transactions on Multimedia
Year: 2024 | Early Access Article |
Data augmentation (DA) is an effective approach for enhancing model performance with limited data, such as light field (LF) image super-resolution (SR). LF images inherently possess rich spatial and angular information. Nonetheless, there is a scarcity of DA methodologies explicitly tailored for LF images, and existing works tend to concentrate solely on either the spatial or angular domain. This ...Show More
OccCasNet: Occlusion-Aware Cascade Cost Volume for Light Field Depth Estimation
Wentao Chao;Fuqing Duan;Xuechun Wang;Yingqian Wang;Ke Lu;Guanghui Wang
Depth estimation using the Light Field (LF) technique is an essential task with a wide range of practical applications. While mainstream approaches based on multi-view stereo techniques can attain exceptional accuracy by creating finer cost volumes, they are resource-intensive, time-consuming, and often overlook occlusion during cost volume construction. To address these issues and strike a better...Show More
Point Cloud Reconstruction Optimization of Light Field Image based on Intra-class Distance
2024 IEEE International Conference on Multimedia and Expo (ICME)
Year: 2024 | Conference Paper |
A single light field image, containing multiple views, can be utilized in conjunction with estimated depth map to generate three-dimensional (3D) point cloud. It is noteworthy that many depth estimation algorithms frequently produce depth maps plagued by issues such as holes and blurred edges. Many algorithms use global optimization directly to optimize depth maps without considering the effects o...Show More
NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results
Yingqian Wang;Zhengyu Liang;Qianyu Chen;Longguang Wang;Jungang Yang;Radu Timofte;Yulan Guo;Wentao Chao;Yiming Kan;Xuechun Wang;Fuqing Duan;Guanghui Wang;Wang Xia;Ziqi Wang;Yue Yan;Peiqi Xia;Shunzhou Wang;Yao Lu;Angulia Yang;Kai Jin;Zeqiang Wei;Sha Guo;Mingzhi Gao;Xiuzhuang Zhou;Zhongxin Yu;Shaofei Luo;Cheng Zhong;Shaorui Chen;Long Peng;Yuhong He;Gaosheng Liu;Huanjing Yue;Jingyu Yang;Zhengjian Yao;Jiakui Hu;Lujia Jin;Zhi-Song Liu;Chenhang He;Jun Xiao;Xiuyuan Wang;Zonglin Tian;Yifan Mao;Deyang Liu;Shizheng Li;Ping An
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (22)
In this report, we summarize the 2nd NTIRE challenge on light field (LF) image super-resolution (SR) with a focus on new methods and results. This challenge aims at superresolving LF images under the standard bicubic downsampling degradation with a magnification factor of ×4. Compared with single image SR, the major challenge of LF image SR lies in how to exploit complementary angular information ...Show More
NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results
Yingqian Wang;Zhengyu Liang;Qianyu Chen;Longguang Wang;Jungang Yang;Radu Timofte;Yulan Guo;Wentao Chao;Yiming Kan;Xuechun Wang;Fuqing Duan;Guanghui Wang;Wang Xia;Ziqi Wang;Yue Yan;Peiqi Xia;Shunzhou Wang;Yao Lu;Angulia Yang;Kai Jin;Zeqiang Wei;Sha Guo;Mingzhi Gao;Xiuzhuang Zhou;Zhongxin Yu;Shaofei Luo;Cheng Zhong;Shaorui Chen;Long Peng;Yuhong He;Gaosheng Liu;Huanjing Yue;Jingyu Yang;Zhengjian Yao;Jiakui Hu;Lujia Jin;Zhi-Song Liu;Chenhang He;Jun Xiao;Xiuyuan Wang;Zonglin Tian;Yifan Mao;Deyang Liu;Shizheng Li;Ping An
Year: 2024 | Conference Paper |
BigEPIT: Scaling EPIT for Light Field Image Super-Resolution
Wentao Chao;Yiming Kan;Xuechun Wang;Fuqing Duan;Guanghui Wang
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Existing methods have been developed for light field (LF) image Super-Resolution (SR) and achieved continuously improved performance while suffering a significant performance drop when handling scenes with large disparity variations. EPIT [1] was proposed to mitigate the disparity issue through non-local spatial-angular correlation learning. However EPIT has limitations due to the limited scale of...Show More
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
Wentao Chao;Xuechun Wang;Yingqian Wang;Guanghui Wang;Fuqing Duan
Light field (LF) depth estimation plays a crucial role in many LF-based applications. Existing LF depth estimation methods consider depth estimation as a regression problem, where a pixel-wise L1 loss is employed to supervise the training process. However, the disparity map is only a sub-space projection (i.e., an expectation) of the disparity distribution, which is essential for models to learn. ...Show More
LFNAT 2023 Challenge on Light Field Depth Estimation: Methods and Results
Hao Sheng;Yebin Liu;Jingyi Yu;Gaochang Wu;Wei Xiong;Ruixuan Cong;Rongshan Chen;Longzhao Guo;Yanlin Xie;Shuo Zhang;Song Chang;Youfang Lin;Wentao Chao;Xuechun Wang;Guanghui Wang;Fuqing Duan;Tun Wang;Da Yang;Zhenglong Cui;Sizhe Wang;Mingyuan Zhao;Qiong Wang;Qianyu Chen;Zhengyu Liang;Yingqian Wang;Jungang Yang;Xueting Yang;Junli Deng
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2023 | Conference Paper |
Cited by: Papers (10)
This paper reviews the 1st LFNAT challenge on light field depth estimation, which aims at predicting disparity information of central view image in a light field (i.e., pixel offset between central view image and adjacent view image). Compared to multi-view stereo matching, light field depth estimation emphasizes efficient utilization of the 2D angular information from multiple regularly varying v...Show More
LFNAT 2023 Challenge on Light Field Depth Estimation: Methods and Results
Hao Sheng;Yebin Liu;Jingyi Yu;Gaochang Wu;Wei Xiong;Ruixuan Cong;Rongshan Chen;Longzhao Guo;Yanlin Xie;Shuo Zhang;Song Chang;Youfang Lin;Wentao Chao;Xuechun Wang;Guanghui Wang;Fuqing Duan;Tun Wang;Da Yang;Zhenglong Cui;Sizhe Wang;Mingyuan Zhao;Qiong Wang;Qianyu Chen;Zhengyu Liang;Yingqian Wang;Jungang Yang;Xueting Yang;Junli Deng
Year: 2023 | Conference Paper |
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
Yingqian Wang;Longguang Wang;Zhengyu Liang;Jungang Yang;Radu Timofte;Yulan Guo;Kai Jin;Zeqiang Wei;Angulia Yang;Sha Guo;Mingzhi Gao;Xiuzhuang Zhou;Vinh Van Duong;Thuc Nguyen Huu;Jonghoon Yim;Byeungwoo Jeon;Yutong Liu;Zhen Cheng;Zeyu Xiao;Ruikang Xu;Zhiwei Xiong;Gaosheng Liu;Manchang Jin;Huanjing Yue;Jingyu Yang;Chen Gao;Shuo Zhang;Song Chang;Youfang Lin;Wentao Chao;Xuechun Wang;Guanghui Wang;Fuqing Duan;Wang Xia;Yan Wang;Peiqi Xia;Shunzhou Wang;Yao Lu;Ruixuan Cong;Hao Sheng;Da Yang;Rongshan Chen;Sizhe Wang;Zhenglong Cui;Yilei Chen;Yongjie Lu;Dongjun Cai;Ping An;Ahmed Salem;Hatem Ibrahem;Bilel Yagoub;Hyun-Soo Kang;Zekai Zeng;Heng Wu
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2023 | Conference Paper |
Cited by: Papers (33)
In this report, we summarize the first NTIRE challenge on light field (LF) image super-resolution (SR), which aims at super-resolving LF images under the standard bicubic degradation with a magnification factor of 4. This challenge develops a new LF dataset called NTIRE-2023 for validation and test, and provides a toolbox called BasicLFSR to facilitate model development. Compared with single image...Show More
NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
Yingqian Wang;Longguang Wang;Zhengyu Liang;Jungang Yang;Radu Timofte;Yulan Guo;Kai Jin;Zeqiang Wei;Angulia Yang;Sha Guo;Mingzhi Gao;Xiuzhuang Zhou;Vinh Van Duong;Thuc Nguyen Huu;Jonghoon Yim;Byeungwoo Jeon;Yutong Liu;Zhen Cheng;Zeyu Xiao;Ruikang Xu;Zhiwei Xiong;Gaosheng Liu;Manchang Jin;Huanjing Yue;Jingyu Yang;Chen Gao;Shuo Zhang;Song Chang;Youfang Lin;Wentao Chao;Xuechun Wang;Guanghui Wang;Fuqing Duan;Wang Xia;Yan Wang;Peiqi Xia;Shunzhou Wang;Yao Lu;Ruixuan Cong;Hao Sheng;Da Yang;Rongshan Chen;Sizhe Wang;Zhenglong Cui;Yilei Chen;Yongjie Lu;Dongjun Cai;Ping An;Ahmed Salem;Hatem Ibrahem;Bilel Yagoub;Hyun-Soo Kang;Zekai Zeng;Heng Wu
Year: 2023 | Conference Paper |
DEKRV2: More Accurate or Fast than DEKR
Wentao Chao;Fuqing Duan;Peng Du;Wanning Zhu;Tianyuan Jia;Deqi Li
2022 IEEE International Conference on Image Processing (ICIP)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Bottom-up human pose estimation has raised more investigation in recent years, especially 2D keypoints regression. However, the state-of-art DEKR [1] still has some aspects (e.g., speed and accuracy) to be improved. In this paper, we propose a new framework named DEKRv2, which has been enhanced compared to DEKR. When DEKR calculates the offset of each keypoint, it only considers the features of th...Show More
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang;Radu Timofte;Jing Liu;Yi Xu;Xinjian Zhang;Minyi Zhao;Shuigeng Zhou;Kelvin C.K. Chan;Shangchen Zhou;Xiangyu Xu;Chen Change Loy;Xin Li;Fanglong Liu;He Zheng;Lielin Jiang;Qi Zhang;Dongliang He;Fu Li;Qingqing Dang;Yibin Huang;Matteo Maggioni;Zhongqian Fu;Shuai Xiao;Cheng Li;Thomas Tanay;Fenglong Song;Wentao Chao;Qiang Guo;Yan Liu;Jiang Li;Xiaochao Qu;Dewang Hou;Jiayu Yang;Lyn Jiang;Di You;Zhenyu Zhang;Chong Mou;Iaroslav Koshelev;Pavel Ostyakov;Andrey Somov;Jia Hao;Xueyi Zou;Shijie Zhao;Xiaopeng Sun;Yiting Liao;Yuanzhi Zhang;Qing Wang;Gen Zhan;Mengxi Guo;Junlin Li;Ming Lu;Zhan Ma;Pablo Navarrete Michelini;Hai Wang;Yiyun Chen;Jingyu Guo;Liliang Zhang;Wenming Yang;Sijung Kim;Syehoon Oh;Yucong Wang;Minjie Cai;Wei Hao;Kangdi Shi;Liangyan Li;Jun Chen;Wei Gao;Wang Liu;Xiaoyu Zhang;Linjie Zhou;Sixin Lin;Ru Wang
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2021 | Conference Paper |
Cited by: Papers (12)
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with focus on proposed solutions and results. In this challenge, the new Large-scale Diverse Video (LDV) dataset is employed. The challenge has three tracks. Tracks 1 and 2 aim at enhancing the videos compressed by HEVC at a fixed QP, while Track 3 is de-signed for enhancing the videos compressed by x265 at a ...Show More
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang;Radu Timofte;Jing Liu;Yi Xu;Xinjian Zhang;Minyi Zhao;Shuigeng Zhou;Kelvin C.K. Chan;Shangchen Zhou;Xiangyu Xu;Chen Change Loy;Xin Li;Fanglong Liu;He Zheng;Lielin Jiang;Qi Zhang;Dongliang He;Fu Li;Qingqing Dang;Yibin Huang;Matteo Maggioni;Zhongqian Fu;Shuai Xiao;Cheng Li;Thomas Tanay;Fenglong Song;Wentao Chao;Qiang Guo;Yan Liu;Jiang Li;Xiaochao Qu;Dewang Hou;Jiayu Yang;Lyn Jiang;Di You;Zhenyu Zhang;Chong Mou;Iaroslav Koshelev;Pavel Ostyakov;Andrey Somov;Jia Hao;Xueyi Zou;Shijie Zhao;Xiaopeng Sun;Yiting Liao;Yuanzhi Zhang;Qing Wang;Gen Zhan;Mengxi Guo;Junlin Li;Ming Lu;Zhan Ma;Pablo Navarrete Michelini;Hai Wang;Yiyun Chen;Jingyu Guo;Liliang Zhang;Wenming Yang;Sijung Kim;Syehoon Oh;Yucong Wang;Minjie Cai;Wei Hao;Kangdi Shi;Liangyan Li;Jun Chen;Wei Gao;Wang Liu;Xiaoyu Zhang;Linjie Zhou;Sixin Lin;Ru Wang
Year: 2021 | Conference Paper |
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