Search Results for author: Min H. Kim

Found 20 papers, 6 papers with code

Self-Calibrating, Fully Differentiable NLOS Inverse Rendering

no code implementations21 Sep 2023 Kiseok Choi, Inchul Kim, Dongyoung Choi, Julio Marco, Diego Gutierrez, Min H. Kim

Existing time-resolved non-line-of-sight (NLOS) imaging methods reconstruct hidden scenes by inverting the optical paths of indirect illumination measured at visible relay surfaces.

Inverse Rendering

Polarimetric iToF: Measuring High-Fidelity Depth through Scattering Media

no code implementations CVPR 2023 Daniel S. Jeon, Andreas Meuleman, Seung-Hwan Baek, Min H. Kim

In this work, we propose a polarimetric iToF imaging method that can capture depth information robustly through scattering media.

Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image

no code implementations CVPR 2023 Donggun Kim, Hyeonjoong Jang, Inchul Kim, Min H. Kim

In this work, we propose a self-supervised learning method that learns bidirectional disparity by utilizing the nature of anisotropic blur kernels in dual-pixel photography.

Depth Estimation Disparity Estimation +1

Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging

no code implementations ICCV 2023 Jungwoo Kim, Min H. Kim

To tackle this issue, we propose a single-shot HDR demosaicing method that takes time-varying multiple exposures as input and jointly solves both the demosaicing and deghosting problems.

Demosaicking HDR Reconstruction

FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras

no code implementations6 Oct 2022 Andreas Meuleman, Hakyeong Kim, James Tompkin, Min H. Kim

Fusing RGB stereo and ToF information is a promising direction to overcome these issues, but a key problem remains: to provide high-quality 2D RGB images, the main color sensor's lens is optically stabilized, resulting in an unknown pose for the floating lens that breaks the geometric relationships between the multimodal image sensors.

Sparse Ellipsometry: Portable Acquisition of Polarimetric SVBRDF and Shape with Unstructured Flash Photography

1 code implementation9 Jul 2022 Inseung Hwang, Daniel S. Jeon, Adolfo Muñoz, Diego Gutierrez, Xin Tong, Min H. Kim

Ellipsometry techniques allow to measure polarization information of materials, requiring precise rotations of optical components with different configurations of lights and sensors.

Data Augmentation Inverse Rendering

DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers

1 code implementation SIGGRAPH 2021 Mustafa B. Yaldiz, Andreas Meuleman, Hyeonjoong Jang, Hyunho Ha, Min H. Kim

Second, a differentiable image simulator creates a training dataset of photorealistic scene images with the deformed markers, being rendered during optimization in a differentiable manner.

Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching

no code implementations CVPR 2022 Donghun Kang, Hyeonjoong Jang, Jungeon Lee, Chong-Min Kyung, Min H. Kim

However, stereo matching performance on these image formats has been lower than the conventional stereo due to severe image distortion near pole regions.

Stereo Matching

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

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.

Inverse Rendering

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 Vocal Bursts Intensity Prediction

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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