no code implementations • ECCV 2020 • Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich
Through a combination of a new polarization-guided image formation model and a novel supervised learning framework for the interpretation of a ray-tracing polarized image formation model, a general method is obtained to tackle general image reflection removal problems.
1 code implementation • ECCV 2020 • Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
Existing Particle Imaging Velocimetry techniques require the use of high-speed cameras to reconstruct time-resolved fluid flows.
no code implementations • 9 Jul 2024 • Matheus Souza, Yidan Zheng, Kaizhang Kang, Yogeshwar Nath Mishra, Qiang Fu, Wolfgang Heidrich
Digital imaging systems have classically been based on brute-force measuring and processing of pixels organized on regular grids.
no code implementations • 14 Jun 2024 • Akshat Dave, Tianyi Zhang, Aaron Young, Ramesh Raskar, Wolfgang Heidrich, Ashok Veeraraghavan
We develop an experimental multi-axis polariscope setup to capture 3D photoelasticity and experimentally demonstrate that NeST reconstructs the internal stress distribution for objects with varying shape and force conditions.
no code implementations • 12 Jun 2024 • Miao Qi, Ramzi Idoughi, Wolfgang Heidrich
Flow estimation problems are ubiquitous in scientific imaging.
1 code implementation • 2 Jun 2024 • Xinge Yang, Matheus Souza, Kunyi Wang, PRANEETH CHAKRAVARTHULA, Qiang Fu, Wolfgang Heidrich
Hybrid refractive-diffractive lenses combine the light efficiency of refractive lenses with the information encoding power of diffractive optical elements (DOE), showing great potential as the next generation of imaging systems.
no code implementations • 8 Jan 2024 • Qiang Fu, Matheus Souza, Eunsue Choi, Suhyun Shin, Seung-Hwan Baek, Wolfgang Heidrich
Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures.
1 code implementation • 6 Jan 2024 • Matheus Souza, Wolfgang Heidrich
Image signal processors (ISPs) are historically grown legacy software systems for reconstructing color images from noisy raw sensor measurements.
no code implementations • 17 Dec 2023 • Juan Romero, Wolfgang Heidrich, Nick Luiken, Matteo Ravasi
Seismic imaging is the numerical process of creating a volumetric representation of the subsurface geological structures from elastic waves recorded at the surface of the Earth.
no code implementations • 9 Oct 2023 • Simeng Qiu, Hadi Amata, Wolfgang Heidrich
Directional information measurement has many applications in domains such as robotics, virtual and augmented reality, and industrial computer vision.
no code implementations • 26 May 2023 • Xinge Yang, Qiang Fu, Yunfeng Nie, Wolfgang Heidrich
Experimental results demonstrate the designed image classification lens (``TaskLens'') exhibits higher accuracy compared to conventional imaging-driven lenses, even with fewer lens elements.
1 code implementation • 8 Mar 2023 • Xinge Yang, Qiang Fu, Mohammed Elhoseiny, Wolfgang Heidrich
Computer vision methods for depth estimation usually use simple camera models with idealized optics.
1 code implementation • 2 Feb 2023 • Xinge Yang, Qiang Fu, Wolfgang Heidrich
Deep optical optimization has recently emerged as a new paradigm for designing computational imaging systems using only the output image as the objective.
no code implementations • 20 Mar 2022 • Matheus Souza, Wolfgang Heidrich
In recent years there has been strong interest in replacing the historically grown ISP systems with deep learned pipelines.
no code implementations • 28 Feb 2022 • Rui Li, Darius Rückert, Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich
Neural rendering with implicit neural networks has recently emerged as an attractive proposition for scene reconstruction, achieving excellent quality albeit at high computational cost.
1 code implementation • 4 Feb 2022 • Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, Wolfgang Heidrich
Through a combination of neural features with an adaptive explicit representation, we achieve reconstruction times far superior to existing neural inverse rendering methods.
Ranked #4 on Low-Dose X-Ray Ct Reconstruction on X3D
no code implementations • 5 Dec 2021 • Masheal Alghamdi, Qiang Fu, Ali Thabet, Wolfgang Heidrich
This paper study the reconstruction of High Dynamic Range (HDR) video from snapshot-coded LDR video.
no code implementations • 2 Nov 2021 • Miao Qi, Yuqi Li, Wolfgang Heidrich
To obtain large quantities of real under-display camera training data with sufficient contrast and scene diversity, we furthermore develop a data capture method utilizing an HDR monitor, as well as a data augmentation method to generate suitable HDR content.
no code implementations • 25 Oct 2021 • Rui Li, Guangmin Zang, Miao Qi, Wolfgang Heidrich
Simultaneous reconstruction of geometry and reflectance properties in uncontrolled environments remains a challenging problem.
no code implementations • 28 Sep 2021 • Qiang Fu, Dong-Ming Yan, Wolfgang Heidrich
Here we report a diffractive lensless camera with spatially-coded Voronoi-Fresnel phase to achieve superior image quality.
1 code implementation • 16 Sep 2021 • Ethan Tseng, Grace Kuo, Seung-Hwan Baek, Nathan Matsuda, Andrew Maimone, Florian Schiffers, PRANEETH CHAKRAVARTHULA, Qiang Fu, Wolfgang Heidrich, Douglas Lanman, Felix Heide
As a result, modern holographic displays possess low \'{e}tendue, which is the product of the display area and the maximum solid angle of diffracted light.
no code implementations • CVPR 2021 • Jinhui Xiong, Jian Wang, Wolfgang Heidrich, Shree Nayar
We propose a new flash technique for low-light imaging, using deep-red light as an illuminating source.
1 code implementation • CVPR 2021 • Ilya Chugunov, Seung-Hwan Baek, Qiang Fu, Wolfgang Heidrich, Felix Heide
We introduce Mask-ToF, a method to reduce flying pixels (FP) in time-of-flight (ToF) depth captures.
no code implementations • ICCV 2021 • Yuqi Li, Qiang Fu, Wolfgang Heidrich
This paper examines the problem of illumination spectra estimation in multispectral images.
1 code implementation • ICCV 2021 • Guangming Zang, Ramzi Idoughi, Rui Li, Peter Wonka, Wolfgang Heidrich
After getting estimated through the sinogram prediction module, the density field is consistently refined in the second module using local and non-local geometrical priors.
Ranked #6 on Novel View Synthesis on X3D
Computed Tomography (CT) Low-Dose X-Ray Ct Reconstruction +3
no code implementations • ICCV 2021 • Jinhui Xiong, Wolfgang Heidrich
We present a method for reconstructing the 3D shape of underwater environments from a single, stationary camera placed above the water.
no code implementations • ICCV 2021 • Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim
Imaging depth and spectrum have been extensively studied in isolation from each other for decades.
no code implementations • 31 Aug 2019 • Jinhui Xiong, Peter Richtárik, Wolfgang Heidrich
In this work, we propose a novel stochastic spatial-domain solver, in which a randomized subsampling strategy is introduced during the learning sparse codes.
1 code implementation • 7 May 2019 • Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren
In this work, we comprehensively study the effects of pipelines on the mixture problem of learning-based DN, DM, and SR, in both sequential and joint solutions.
no code implementations • ECCV 2018 • Guangming Zang, Mohamed Aly, Ramzi Idoughi, Peter Wonka, Wolfgang Heidrich
As a second, smaller contribution, we also show that when using such a proximal reconstruction framework, it is beneficial to employ the Simultaneous Algebraic Reconstruction Technique (SART) instead of the commonly used Conjugate Gradient (CG) method in the solution of the data term proximal operator.
no code implementations • 18 Jun 2018 • Marie-Lena Eckert, Wolfgang Heidrich, Nils Thuerey
We present a novel method to reconstruct a fluid's 3D density and motion based on just a single sequence of images.
no code implementations • CVPR 2018 • Shuochen Su, Felix Heide, Gordon Wetzstein, Wolfgang Heidrich
We present an end-to-end image processing framework for time-of-flight (ToF) cameras.
no code implementations • CVPR 2018 • Qilin Sun, Xiong Dun, Yifan Peng, Wolfgang Heidrich
Time-of-flight depth imaging and transient imaging are two imaging modalities that have recently received a lot of interest.
no code implementations • 31 May 2018 • Ibrahim Alsolami, Wolfgang Heidrich
This paper addresses the problem of imaging in the presence of diffraction-photons.
1 code implementation • ICCV 2017 • Biswarup Choudhury, Robin Swanson, Felix Heide, Gordon Wetzstein, Wolfgang Heidrich
Convolutional sparse coding (CSC) is a promising direction for unsupervised learning in computer vision.
no code implementations • ICCV 2017 • Tiancheng Sun, Yifan Peng, Wolfgang Heidrich
Image aberrations can cause severe degradation in image quality for consumer-level cameras, especially under the current tendency to reduce the complexity of lens designs in order to shrink the overall size of modules.
1 code implementation • CVPR 2017 • Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang
We show that the features learned from this dataset extend to deblurring motion blur that arises due to camera shake in a wide range of videos, and compare the quality of results to a number of other baselines.
Ranked #5 on Deblurring on Beam-Splitter Deblurring (BSD)
no code implementations • 27 Mar 2017 • Lei Xiao, Felix Heide, Wolfgang Heidrich, Bernhard Schölkopf, Michael Hirsch
Recently, several discriminative learning approaches have been proposed for effective image restoration, achieving convincing trade-off between image quality and computational efficiency.
1 code implementation • 25 Nov 2016 • Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang
We show that the features learned from this dataset extend to deblurring motion blur that arises due to camera shake in a wide range of videos, and compare the quality of results to a number of other baselines.
no code implementations • 28 Aug 2016 • Mohamed Aly, Wolfgang Heidrich
We present a novel algorithm for blind denoising of images corrupted by mixed impulse, Poisson, and Gaussian noises.
1 code implementation • 11 Jun 2016 • Mohamed Aly, Guangming Zang, Wolfgang Heidrich, Peter Wonka
We present TRex, a flexible and robust Tomographic Reconstruction framework using proximal algorithms.
no code implementations • CVPR 2016 • Shuochen Su, Felix Heide, Robin Swanson, Jonathan Klein, Clara Callenberg, Matthias Hullin, Wolfgang Heidrich
We propose a material classification method using raw time-of-flight (ToF) measurements.
no code implementations • CVPR 2015 • Shuochen Su, Wolfgang Heidrich
Although motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur.
no code implementations • CVPR 2015 • Felix Heide, Wolfgang Heidrich, Gordon Wetzstein
Convolutional sparse coding (CSC) has become an increasingly important tool in machine learning and computer vision.
no code implementations • CVPR 2015 • Lei Xiao, Felix Heide, Matthew O'Toole, Andreas Kolb, Matthias B. Hullin, Kyros Kutulakos, Wolfgang Heidrich
Continuous-wave time-of-flight (ToF) cameras show great promise as low-cost depth image sensors in mobile applications.
no code implementations • CVPR 2014 • Felix Heide, Lei Xiao, Wolfgang Heidrich, Matthias B. Hullin
The functional difference between a diffuse wall and a mirror is well understood: one scatters back into all directions, and the other one preserves the directionality of reflected light.
no code implementations • CVPR 2013 • James Gregson, Felix Heide, Matthias B. Hullin, Mushfiqur Rouf, Wolfgang Heidrich
We present a novel stochastic framework for non-blind deconvolution based on point samples obtained from random walks.