Mar 15, 2023 · In this paper, we propose the Spherical Space feature Decomposition Network (SSDNet) to solve the above issues.

We propose a Spherical Space feature Decomposition network (SSDNet) for guided depth map super-resolution, where a Restormer-based encoder is used to extract ...

In this paper, we propose the Spherical Space feature Decomposition Network (SSDNet) to solve the above issues.

Official implementation for "Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution."

In this document, we provide the additional supplementary information for the paper “Spherical Space Feature Decomposi- tion for Guided Depth Map ...

The Spherical Space feature Decomposition Network (SSDNet) is proposed to solve the above issues and can achieve state-of-the-art results on four test ...

Apr 4, 2024 · Depth estimation from intensity images has been thoroughly investigated using various modalities, from single-image captures [21,26,51,52] to ...

Mar 21, 2023 · Guided depth map super-resolution (GDSR), as a hot topic in multi-modal image processing, aims to upsample low-resolution (LR) depth maps ...

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution ... Then, the extracted features are mapped to the spherical space to complete the ...

Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution PDF, ICCV, L&P, --. Depth Super-Resolution from Explicit and Implicit High-Frequency ...