Search Results for author: Beomjun Kim

Found 3 papers, 2 papers with code

Deformable Kernel Networks for Joint Image Filtering

2 code implementations17 Oct 2019 Beomjun Kim, Jean Ponce, Bumsub Ham

Previous methods based on convolutional neural networks (CNNs) combine nonlinear activations of spatially-invariant kernels to estimate structural details and regress the filtering result.

Depth Map Super-Resolution Image Restoration +1

Deformable kernel networks for guided depth map upsampling

no code implementations27 Mar 2019 Beomjun Kim, Jean Ponce, Bumsub Ham

We address the problem of upsampling a low-resolution (LR) depth map using a registered high-resolution (HR) color image of the same scene.

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