no code implementations • 19 Jan 2024 • Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang
To this end, we propose a transformer-based 360 image outpainting framework called Dream360, which can generate diverse, high-fidelity, and high-resolution panoramas from user-selected viewports, considering the spherical properties of 360 images.
no code implementations • 6 Jan 2024 • Tongyan Hua, Haotian Bai, Zidong Cao, Ming Liu, DaCheng Tao, Lin Wang
In this paper, we introduce Hi-Map, a novel monocular dense mapping approach based on Neural Radiance Field (NeRF).
no code implementations • 22 Sep 2023 • Tianbo Pan, Zidong Cao, Lin Wang
Firstly, we propose an attention-based interactive fusion (AIF) module that applies spatial priors of events and frames as the initial masks and learns the consensus regions to guide the inter-modal feature fusion.
no code implementations • ICCV 2023 • Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, XiaoHu Qie, Lin Wang
The M\"obius transformation is typically employed to further provide the opportunity for movement and zoom on ODIs, but applying it to the image level often results in blurry effect and aliasing problem.
no code implementations • 1 Jun 2023 • Tongyan Hua, Haotian Bai, Zidong Cao, Lin Wang
We then propose the sliding window sampler to reduce uncertainty by incorporating coherent geometric cues from observed frames during map initialization to enhance convergence.
no code implementations • 17 Apr 2023 • Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang
Our key idea is to transfer the scene structural knowledge from the HR image modality and the corresponding LR depth maps to achieve the goal of HR depth estimation without any extra inference cost.
no code implementations • CVPR 2023 • Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang
Moreover, adversarial intra-projection training is proposed to reduce the inherent gap, between the features of the pinhole images and those of the ERP and TP images, respectively.
no code implementations • 21 Mar 2023 • Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang
Depth estimation from a monocular 360{\deg} image is a burgeoning problem owing to its holistic sensing of a scene.
no code implementations • CVPR 2023 • Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang
Depth estimation from a monocular 360 image is a burgeoning problem owing to its holistic sensing of a scene.
1 code implementation • 21 May 2022 • Hao Ai, Zidong Cao, Jinjing Zhu, Haotian Bai, Yucheng Chen, Lin Wang
Omnidirectional image (ODI) data is captured with a 360x180 field-of-view, which is much wider than the pinhole cameras and contains richer spatial information than the conventional planar images.