Dec 30, 2022 � In this paper, we propose a network for reconstructing very low-resolution depth images with high-resolution 2D color images.
Dec 6, 2023 � In this paper, we use a total variation deep network founded on deep learning and high-resolution color images.
Color image-guided very low-resolution depth image reconstruction ... Authors: Chen Chen; Ze Lin; Hao She; Yan Huang; Heng Liu; Qin Wang; Shipeng Xie. List�...
Jan 1, 2024 � In this paper, we use a total variation deep network founded on deep learning and high-resolution color images.
In this paper, we propose a color guided depth map super-resolution method with nonlocal autoregressive modeling.
Aug 31, 2023 � Therefore, we propose a color-image guided DMSR method based on iterative depth feature enhancement. Considering the feature difference�...
Jun 20, 2024 � SR is the process of recovering a high-resolution image from a low-resolution image. SR models work on low-resolution images to recover missing�...
Jan 30, 2019 � Depth image super-resolution (SR) is a technique that uses signal processing technology to enhance the resolution of a low-resolution (LR)�...
Color-guided depth map super-resolution (CDSR) improves the spatial resolution of a low-quality depth map with the corresponding high-quality color map,�...
People also ask
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We propose Coupled U-Net (CU-Net), a new color image guided DSR method built on two U-Net branches for HR color images and LR depth maps, respectively.