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pro vyhledávání: '"depth super-resolution"'
Recent RGB-guided depth super-resolution methods have achieved impressive performance under the assumption of fixed and known degradation (e.g., bicubic downsampling). However, in real-world scenarios, captured depth data often suffer from unconventi
Externí odkaz:
http://arxiv.org/abs/2410.11666
Autor:
Wang, Zhengxue, Yan, Zhiqiang, Yang, Ming-Hsuan, Pan, Jinshan, Gao, Guangwei, Tai, Ying, Yang, Jian
Multi-modal fusion is vital to the success of super-resolution of depth maps. However, commonly used fusion strategies, such as addition and concatenation, fall short of effectively bridging the modal gap. As a result, guided image filtering methods
Externí odkaz:
http://arxiv.org/abs/2402.13876
Akademický článek
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Autor:
Hui Lan, Cheolkon Jung
Publikováno v:
IEEE Access, Vol 12, Pp 114512-114526 (2024)
Color guided depth super-resolution (SR) aims to reconstruct a high-resolution (HR) depth image from a low-resolution (LR) one guided by its paired HR color image. However, when the sampling factor is large, color guided depth SR suffers from reconst
Externí odkaz:
https://doaj.org/article/0b205b89f1814b6aacee76db6b93fb47
Color-guided depth super-resolution (DSR) is an encouraging paradigm that enhances a low-resolution (LR) depth map guided by an extra high-resolution (HR) RGB image from the same scene. Existing methods usually use interpolation to upscale the depth
Externí odkaz:
http://arxiv.org/abs/2306.00386
Autor:
Qiao, Xin, Ge, Chenyang, Zhang, Youmin, Zhou, Yanhui, Tosi, Fabio, Poggi, Matteo, Mattoccia, Stefano
We propose a novel multi-stage depth super-resolution network, which progressively reconstructs high-resolution depth maps from explicit and implicit high-frequency features. The former are extracted by an efficient transformer processing both local
Externí odkaz:
http://arxiv.org/abs/2303.09307
Akademický článek
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Image guidance is an effective strategy for depth super-resolution. Generally, most existing methods employ hand-crafted operators to decompose the high-frequency (HF) and low-frequency (LF) ingredients from low-resolution depth maps and guide the HF
Externí odkaz:
http://arxiv.org/abs/2301.13419
Real depth super-resolution (DSR), unlike synthetic settings, is a challenging task due to the structural distortion and the edge noise caused by the natural degradation in real-world low-resolution (LR) depth maps. These defeats result in significan
Externí odkaz:
http://arxiv.org/abs/2301.13416
Performing super-resolution of a depth image using the guidance from an RGB image is a problem that concerns several fields, such as robotics, medical imaging, and remote sensing. While deep learning methods have achieved good results in this problem
Externí odkaz:
http://arxiv.org/abs/2211.11592