no code implementations • 23 Apr 2024 • Junsong Zhang, Zisong Chen, Chunyu Lin, Lang Nie, Zhijie Shen, Junda Huang, Yao Zhao
Panoramic distortion poses a significant challenge in 360 depth estimation, particularly pronounced at the north and south poles.
no code implementations • 15 Apr 2024 • Jiyuan Wang, Chunyu Lin, Lang Nie, Kang Liao, Shuwei Shao, Yao Zhao
In this paper, we propose a novel robust depth estimation method called D4RD, featuring a custom contrastive learning mode tailored for diffusion models to mitigate performance degradation in complex environments.
1 code implementation • 11 Mar 2024 • Lang Nie, Chunyu Lin, Kang Liao, Yun Zhang, Shuaicheng Liu, Yao Zhao
In this paper, we retarget video stitching to an emerging issue, named warping shake, when extending image stitching to video stitching.
1 code implementation • 24 Jan 2024 • Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
To break this bottleneck, we propose the coupled thin-plate spline model (CoupledTPS), which iteratively couples multiple TPS with limited control points into a more flexible and powerful transformation.
no code implementations • 26 Dec 2023 • Zhijie Shen, Chunyu Lin, Junsong Zhang, Lang Nie, Kang Liao, Yao Zhao
Existing panoramic layout estimation solutions tend to recover room boundaries from a vertically compressed sequence, yielding imprecise results as the compression process often muddles the semantics between various planes.
1 code implementation • 9 Oct 2023 • Jiyuan Wang, Chunyu Lin, Lang Nie, Shujun Huang, Yao Zhao, Xing Pan, Rui Ai
In this paper, we propose WeatherDepth, a self-supervised robust depth estimation model with curriculum contrastive learning, to tackle performance degradation in complex weather conditions.
1 code implementation • ICCV 2023 • Ao Luo, Fan Yang, Xin Li, Lang Nie, Chunyu Lin, Haoqiang Fan, Shuaicheng Liu
Moreover, for reliable motion analysis, we provide a new Gaussian-Guided Attention Module (GGAM) which not only inherits properties from Gaussian distribution to instinctively revolve around the neighbor fields of each point but also is empowered to put the emphasis on contextually related regions during matching.
1 code implementation • 19 Mar 2023 • Kang Liao, Lang Nie, Shujuan Huang, Chunyu Lin, Jing Zhang, Yao Zhao, Moncef Gabbouj, DaCheng Tao
In this paper, we provide a comprehensive survey of learning-based camera calibration techniques, by analyzing their strengths and limitations.
1 code implementation • CVPR 2023 • Zhijie Shen, Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao, Shuai Zheng, Yao Zhao
Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences.
no code implementations • 20 Feb 2023 • Zisong Chen, Chunyu Lin, Lang Nie, Kang Liao, Yao Zhao
In this paper, we propose the first unsupervised omnidirectional MVS framework based on multiple fisheye images.
1 code implementation • ICCV 2023 • Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
First, we propose a robust and flexible warp to model the image registration from global homography to local thin-plate spline motion.
1 code implementation • ICCV 2023 • Kang Liao, Lang Nie, Chunyu Lin, Zishuo Zheng, Yao Zhao
In this work, we explore constructing a win-win representation on both content and boundary by contributing a new learning model, i. e., Rectangling Rectification Network (RecRecNet).
1 code implementation • 3 Aug 2022 • Zhijie Shen, Chunyu Lin, Lang Nie, Kang Liao, Yao Zhao
For a monocular 360 image, depth estimation is a challenging because the distortion increases along the latitude.
Ranked #8 on Depth Estimation on Stanford2D3D Panoramic
1 code implementation • 7 Jul 2022 • Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
To this end, we leverage a neural network to predict the optical flows that can warp the tilted images to be perceptually horizontal.
no code implementations • 6 Jul 2022 • Zishuo Zheng, Chunyu Lin, Lang Nie, Kang Liao, Zhijie Shen, Yao Zhao
In this paper, we combine the two different representations and propose a novel 360{\deg} semantic segmentation solution from a complementary perspective.
no code implementations • 18 Mar 2022 • Zhijie Shen, Chunyu Lin, Lang Nie, Kang Liao, Yao Zhao
It comprises two modules: Dual-Cubemap Depth Estimation (DCDE) module and Boundary Revision (BR) module.
1 code implementation • 17 Mar 2022 • Zhijie Shen, Chunyu Lin, Kang Liao, Lang Nie, Zishuo Zheng, Yao Zhao
In particular, we divide patches on the spherical tangent domain into tokens to reduce the negative effect of panoramic distortions.
Ranked #4 on Depth Estimation on Stanford2D3D Panoramic
1 code implementation • CVPR 2022 • Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
In this paper, we address these issues by proposing the first deep learning solution to image rectangling.
no code implementations • 8 Dec 2021 • Xudong Huang, Chunyu Lin, Haojie Liu, Lang Nie, Yao Zhao
LiDAR sensors are widely used in autonomous driving due to the reliable 3D spatial information.
1 code implementation • 6 Jul 2021 • Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
Homography estimation is an important task in computer vision applications, such as image stitching, video stabilization, and camera calibration.
1 code implementation • 24 Jun 2021 • Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
Even compared with the supervised solutions, our image stitching quality is still preferred by users.
no code implementations • 11 Dec 2020 • Lang Nie, Chunyu Lin, Kang Liao, Yao Zhao
In this paper, we propose an image stitching learning framework, which consists of a large-baseline deep homography module and an edge-preserved deformation module.