Search Results for author: Min H. Kim

Found 11 papers, 4 papers with code

Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields

1 code implementation7 Jul 2021 Numair Khan, Min H. Kim, James Tompkin

We present an algorithm to estimate fast and accurate depth maps from light fields via a sparse set of depth edges and gradients.

Depth Estimation

High-Quality Stereo Image Restoration From Double Refraction

no code implementations CVPR 2021 Hakyeong Kim, Andreas Meuleman, Daniel S. Jeon, Min H. Kim

However, when an extraordinary-ray (e-ray) image is restored to acquire stereo images, the existing methods suffer from very severe restoration artifacts in stereo images due to a low signal-to-noise ratio of input e-ray image or depth/deconvolution errors.

Image Restoration

NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning

no code implementations CVPR 2021 Hyunho Ha, Joo Ho Lee, Andreas Meuleman, Min H. Kim

Volumetric fusion enables real-time scanning using a conventional RGB-D camera, but its geometry resolution has been limited by the grid resolution of the volumetric distance field and depth registration errors.

Differentiable Diffusion for Dense Depth Estimation from Multi-view Images

1 code implementation CVPR 2021 Numair Khan, Min H. Kim, James Tompkin

We present a method to estimate dense depth by optimizing a sparse set of points such that their diffusion into a depth map minimizes a multi-view reprojection error from RGB supervision.

Depth Estimation

View-consistent 4D Light Field Depth Estimation

1 code implementation9 Sep 2020 Numair Khan, Min H. Kim, James Tompkin

Previous light field depth estimation methods typically estimate a depth map only for the central sub-aperture view, and struggle with view consistent estimation.

Depth Estimation

Extreme View Synthesis

1 code implementation ICCV 2019 Inchang Choi, Orazio Gallo, Alejandro Troccoli, Min H. Kim, Jan Kautz

We present Extreme View Synthesis, a solution for novel view extrapolation that works even when the number of input images is small--as few as two.

Laplacian Patch-Based Image Synthesis

no code implementations CVPR 2016 Joo Ho Lee, Inchang Choi, Min H. Kim

In this paper, we propose a patch-based synthesis using a Laplacian pyramid to improve searching correspondence with enhanced awareness of edge structures.

Image Generation

Multiview Image Completion With Space Structure Propagation

no code implementations CVPR 2016 Seung-Hwan Baek, Inchang Choi, Min H. Kim

Since a user specifies the region to be completed in one of multiview photographs casually taken in a scene, the proposed method enables us to complete the set of photographs with geometric consistency by creating or removing structures on the specified region.

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