Search Results for author:
Found 30 papers, 9 papers with code
Towards Monocular Shape from Refraction
In contrast, we claim that a simple energy function based on Snell's law enables the reconstruction of an arbitrary refractive surface geometry using just a single image and known background texture and geometry.
High-Fidelity Event-Radiance Recovery via Transient Event Frequency
High-fidelity radiance recovery plays a crucial role in scene information reconstruction and understanding.
Learning Event Guided High Dynamic Range Video Reconstruction
Limited by the trade-off between frame rate and exposure time when capturing moving scenes with conventional cameras, frame based HDR video reconstruction suffers from scene-dependent exposure ratio balancing and ghosting artifacts.
Blur Interpolation Transformer for Real-World Motion from Blur
This paper studies the challenging problem of recovering motion from blur, also known as joint deblurring and interpolation or blur temporal super-resolution.
ClipCrop: Conditioned Cropping Driven by Vision-Language Model
Image cropping has progressed tremendously under the data-driven paradigm.
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance
Existing solutions to this problem estimate a single image sequence without considering the motion ambiguity for each region.
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
In this paper, instead of two consecutive frames, we propose to exploit a pair of images captured by dual RS cameras with reversed RS directions for this highly challenging task.
Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network
Real-world video deblurring in real time still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost.
Ranked #34 on
Image Deblurring
on GoPro
(using extra training data)
4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis
Hyperspectral photoacoustic (HSPA) spectroscopy is an emerging bi-modal imaging technology that is able to show the wavelength-dependent absorption distribution of the interior of a 3D volume.
Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance
Recovering the 3D geometry of a purely texture-less object with generally unknown surface reflectance (e. g. non-Lambertian) is regarded as a challenging task in multi-view reconstruction.
One Ring to Rule Them All: a simple solution to multi-view 3D-Reconstruction of shapes with unknown BRDF via a small Recurrent ResNet
This paper proposes a simple method which solves an open problem of multi-view 3D-Reconstruction for objects with unknown and generic surface materials, imaged by a freely moving camera and a freely moving point light source.
Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
Since direct application of existing individual rolling shutter correction (RSC) or global shutter deblurring (GSD) methods on RSCD leads to undesirable results due to inherent flaws in the network architecture, we further present the first learning-based model (JCD) for RSCD.
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Inspired by Koch's Postulates, a well-known strategy in medical research to identify the property of pathogen, we define a pathological descriptor that can be extracted from the activated neurons of a diabetic retinopathy detector.
Polarimetric Three-View Geometry
This paper theorizes the connection between polarization and three-view geometry.
Coded Illumination and Imaging for Fluorescence Based Classification
The quick detection of specific substances in objects such as produce items via non-destructive visual cues is vital to ensuring the quality and safety of consumer products.
Deeply Learned Filter Response Functions for Hyperspectral Reconstruction
More interestingly, by considering physical restrictions in the design process, we are able to realize the deeply learned spectral response functions by using modern film filter production technologies, and thus construct data-inspired multispectral cameras for snapshot hyperspectral imaging.
A Microfacet-Based Reflectance Model for Photometric Stereo With Highly Specular Surfaces
Recent developments in the field have enabled shape recovery techniques for surfaces of various types, but an effective solution to directly estimating the surface normal in the presence of highly specular reflectance remains elusive.
From RGB to Spectrum for Natural Scenes via Manifold-Based Mapping
Spectral analysis of natural scenes can provide much more detailed information about the scene than an ordinary RGB camera.
Virtual Blood Vessels in Complex Background using Stereo X-ray Images
We propose a fully automatic system to reconstruct and visualize 3D blood vessels in Augmented Reality (AR) system from stereo X-ray images with bones and body fat.
Wetness and Color From a Single Multispectral Image
We derive an analytical spectral appearance model of wet surfaces that expresses the characteristic spectral sharpening due to multiple scattering and absorption in the surface.
Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration
In this paper, we propose an effective method for coded hyperspectral image restoration, which exploits extensive structure sparsity in the hyperspectral image.
Reconstructing Shapes and Appearances of Thin Film Objects Using RGB Images
First, we narrow down candidates of zenith angle by degree of polarization and determine it by the intensity of thin film which increases monotonically along the zenith angle.
Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image
This paper introduces a novel method to separate fluorescent and reflective components in the spectral domain.
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising
Hyperspectral imaging is beneficial in a diverse range of applications from diagnostic medicine, to agriculture, to surveillance to name a few.
Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization
This paper addresses the illumination and reflectance spectra separation (IRSS) problem of a hyperspectral image captured under general spectral illumination.
Uncalibrated Photometric Stereo Based on Elevation Angle Recovery From BRDF Symmetry of Isotropic Materials
This sort of symmetry can be observed in a 1D BRDF slice from a subset of surface normals with the same azimuth angle, and we use it to devise an efficient modeling and solution method to constrain and recover the elevation angles of surface normals accurately.
Reflectance and Fluorescent Spectra Recovery based on Fluorescent Chromaticity Invariance under Varying Illumination
We then show that given the spectral reflectance and fluorescent chromaticity, the fluorescence absorption and emission spectra can also be estimated.
A General and Simple Method for Camera Pose and Focal Length Determination
In this paper, we revisit the pose determination problem of a partially calibrated camera with unknown focal length, hereafter referred to as the PnPf problem, by using n (n ≥ 4) 3D-to-2D point correspondences.
Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances
We propose an uncalibrated photometric stereo method that works with general and unknown isotropic reflectances.
Spectral Modeling and Relighting of Reflective-Fluorescent Scenes
Hyperspectral reflectance data allows for highly accurate spectral relighting under arbitrary illumination, which is invaluable to applications ranging from archiving cultural e-heritage to consumer product design.
