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Found 20 papers, 6 papers with code
Self-Calibrating, Fully Differentiable NLOS Inverse Rendering
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.
Polarimetric iToF: Measuring High-Fidelity Depth through Scattering Media
In this work, we propose a polarimetric iToF imaging method that can capture depth information robustly through scattering media.
Progressively Optimized Local Radiance Fields for Robust View Synthesis
For handling unknown poses, we jointly estimate the camera poses with radiance field in a progressive manner.
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image
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.
Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging
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.
FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras
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
Ellipsometry techniques allow to measure polarization information of materials, requiring precise rotations of optical components with different configurations of lights and sensors.
DeepFormableTag: End-to-end Generation and Recognition of Deformable Fiducial Markers
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
However, stereo matching performance on these image formats has been lower than the conventional stereo due to severe image distortion near pole regions.
Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light Fields
We present an algorithm to estimate fast and accurate depth maps from light fields via a sparse set of depth edges and gradients.
NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning
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.
High-Quality Stereo Image Restoration From Double Refraction
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.
Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images
RGB-D imaging prototype composed of a mobile GPU and four fisheye cameras.
Differentiable Diffusion for Dense Depth Estimation from Multi-view Images
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.
View-consistent 4D Light Field Depth Estimation
Previous light field depth estimation methods typically estimate a depth map only for the central sub-aperture view, and struggle with view consistent estimation.
Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics
Imaging depth and spectrum have been extensively studied in isolation from each other for decades.
Extreme View Synthesis
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.
Enhancing the Spatial Resolution of Stereo Images Using a Parallax Prior
We present a novel method that can enhance the spatial resolution of stereo images using a parallax prior.
Laplacian Patch-Based Image Synthesis
In this paper, we propose a patch-based synthesis using a Laplacian pyramid to improve searching correspondence with enhanced awareness of edge structures.
Multiview Image Completion With Space Structure Propagation
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.
