Search Results for author: Wolfgang Heidrich

Found 39 papers, 9 papers with code

Reflection Separation via Multi-bounce Polarization State Tracing

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.

Reflection Removal

Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction

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.

Stereo Matching

Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification

no code implementations26 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.

Image Classification

Aberration-Aware Depth-from-Focus

no code implementations8 Mar 2023 Xinge Yang, Qiang Fu, Mohammed Elhoseiny, Wolfgang Heidrich

Computer vision methods for depth estimation usually use simple camera models with idealized optics.

Depth Estimation

Curriculum Learning for ab initio Deep Learned Refractive Optics

no code implementations2 Feb 2023 Xinge Yang, Qiang Fu, Wolfgang Heidrich

Deep lens optimization has recently emerged as a new paradigm for designing computational imaging systems, however it has been limited to either simple optical systems consisting of a single DOE or metalens, or the fine-tuning of compound lenses from good initial designs.

CRISPnet: Color Rendition ISP Net

no code implementations20 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.

Demosaicking Denoising +1

Neural Adaptive SCEne Tracing

no code implementations28 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.

Neural Rendering

NeAT: Neural Adaptive Tomography

1 code implementation4 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.

3D Reconstruction Inverse Rendering +1

Snapshot HDR Video Construction Using Coded Mask

no code implementations5 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.

Demosaicking Denoising +1

ISP-Agnostic Image Reconstruction for Under-Display Cameras

no code implementations2 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.

Data Augmentation Image Reconstruction +1

Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering

no code implementations25 Oct 2021 Rui Li, Guangmin Zang, Miao Qi, Wolfgang Heidrich

Simultaneous reconstruction of geometry and reflectance properties in uncontrolled environments remains a challenging problem.

Novel View Synthesis

Diffractive lensless imaging with optimized Voronoi-Fresnel phase

no code implementations28 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.

Seeing in Extra Darkness Using a Deep-Red Flash

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.

Video Reconstruction

In-the-Wild Single Camera 3D Reconstruction Through Moving Water Surfaces

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.

3D Reconstruction

IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction

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.

Computed Tomography (CT) Self-Supervised Learning +1

Stochastic Convolutional Sparse Coding

no code implementations31 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.

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

1 code implementation7 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.

Demosaicking Denoising +1

Super-Resolution and Sparse View CT Reconstruction

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.

Computed Tomography (CT) Super-Resolution

Coupled Fluid Density and Motion from Single Views

no code implementations18 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.

Depth and Transient Imaging With Compressive SPAD Array 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.

Compressive Sensing

Imaging with SPADs and DMDs: Seeing through Diffraction-Photons

no code implementations31 May 2018 Ibrahim Alsolami, Wolfgang Heidrich

This paper addresses the problem of imaging in the presence of diffraction-photons.

Revisiting Cross-Channel Information Transfer for Chromatic Aberration Correction

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.

Deep Video Deblurring for Hand-Held Cameras

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.

Deblurring Image Deblurring +1

Discriminative Transfer Learning for General Image Restoration

no code implementations27 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.

Deblurring Demosaicking +2

Deep Video Deblurring

1 code implementation25 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.

Deblurring Image Deblurring +1

MindX: Denoising Mixed Impulse Poisson-Gaussian Noise Using Proximal Algorithms

no code implementations28 Aug 2016 Mohamed Aly, Wolfgang Heidrich

We present a novel algorithm for blind denoising of images corrupted by mixed impulse, Poisson, and Gaussian noises.

Combinatorial Optimization Denoising

TRex: A Tomography Reconstruction Proximal Framework for Robust Sparse View X-Ray Applications

1 code implementation11 Jun 2016 Mohamed Aly, Guangming Zang, Wolfgang Heidrich, Peter Wonka

We present TRex, a flexible and robust Tomographic Reconstruction framework using proximal algorithms.

Fast and Flexible Convolutional Sparse Coding

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.

General Classification

Rolling Shutter Motion Deblurring

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.


Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors

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.

3D Reconstruction

Stochastic Deconvolution

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.

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