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Found 3 papers, 1 papers with code
Consistent Depth Prediction under Various Illuminations using Dilated Cross Attention
In this paper, we aim to solve the problem of consistent depth prediction in complex scenes under various illumination conditions.
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution
Next, we propose a step-wise fusion strategy to restore the HR depth map.
Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution
To process the input images in low resolution with missing regions, new operators for adaptive convolution are introduced in our deep-learning network that consists of three cascaded modules -- the completion module, the refinement module and the super-resolution module.
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