Depth Image Upsampling
2 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Depth Image Upsampling
Most implemented papers
Deep Attentional Guided Image Filtering
zhwzhong/dagf
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Specifically, we propose an attentional kernel learning module to generate dual sets of filter kernels from the guidance and the target, respectively, and then adaptively combine them by modeling the pixel-wise dependency between the two images.
Guided Depth Map Super-resolution: A Survey
zhwzhong/Guided-Depth-Map-Super-resolution-A-Survey
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Guided depth map super-resolution (GDSR), which aims to reconstruct a high-resolution (HR) depth map from a low-resolution (LR) observation with the help of a paired HR color image, is a longstanding and fundamental problem, it has attracted considerable attention from computer vision and image processing communities.
