English
Related papers

Related papers: Adaptive phase-retrieval stochastic reconstruction…

200 papers

Magnetic Resonance Fingerprinting (MRF) is a time-efficient approach to quantitative MRI for multiparametric tissue mapping. The reconstruction of quantitative maps requires tailored algorithms for removing aliasing artefacts from the…

Image and Video Processing · Electrical Eng. & Systems 2024-12-19 Perla Mayo , Matteo Cencini , Carolin M. Pirkl , Marion I. Menzel , Michela Tosetti , Bjoern H. Menze , Mohammad Golbabaee

Accurate three-dimensional (3D) reconstruction of cardiac chamber motion from time-resolved medical imaging modalities is of growing interest in both the clinical and biomechanical fields. Despite recent advancement, the cardiac motion…

Medical Physics · Physics 2025-04-18 Francesco Capuano , Yue-Hin Loke , Ibrahim Yildiran , Laura Olivieri , Elias Balaras

3D Gaussian Splatting (3DGS) has recently emerged as a powerful paradigm for photorealistic view synthesis, representing scenes with spatially distributed Gaussian primitives. While highly effective for rendering, achieving accurate and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Wenzhi Guo , Bing Wang

Ptychographic phase retrieval enables high-resolution imaging of complex samples but often suffers from artifacts such as grid pathology and multislice crosstalk, which degrade reconstructed images. We propose a plug-and-play (PnP)…

Graphics · Computer Science 2026-05-26 Ming Du , Volker Rose , Junjing Deng , Dileep Singh , Si Chen , Mathew J. Cherukara

We present an end-to-end 3D reconstruction method for a scene by directly regressing a truncated signed distance function (TSDF) from a set of posed RGB images. Traditional approaches to 3D reconstruction rely on an intermediate…

Computer Vision and Pattern Recognition · Computer Science 2020-10-15 Zak Murez , Tarrence van As , James Bartolozzi , Ayan Sinha , Vijay Badrinarayanan , Andrew Rabinovich

To achieve fully autonomous navigation, vehicles need to compute an accurate model of their direct surrounding. In this paper, a 3D surface reconstruction algorithm from heterogeneous density 3D data is presented. The proposed method is…

Computer Vision and Pattern Recognition · Computer Science 2019-06-26 Luis Roldão , Raoul de Charette , Anne Verroust-Blondet

Capturing the shape and spatially-varying appearance (SVBRDF) of an object from images is a challenging task that has applications in both computer vision and graphics. Traditional optimization-based approaches often need a large number of…

Computer Vision and Pattern Recognition · Computer Science 2021-05-20 Mark Boss , Varun Jampani , Kihwan Kim , Hendrik P. A. Lensch , Jan Kautz

Reconstructing a dynamic scene from image inputs is a fundamental computer vision task with many downstream applications. Despite recent advancements, existing approaches still struggle to achieve high-quality reconstructions from unseen…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Sara Oblak , Despoina Paschalidou , Sanja Fidler , Matan Atzmon

Microstructure reconstruction is an important cornerstone to the inverse materials design concept. In this work, a general algorithm is developed to reconstruct a three-dimensional microstructure from given descriptors. Based on…

Materials Science · Physics 2021-10-26 Paul Seibert , Alexander Raßloff , Marreddy Ambati , Markus Kästner

Explicit 3D representations have already become an essential medium for 3D simulation and understanding. However, the most commonly used point cloud and 3D Gaussian Splatting (3DGS) each suffer from non-photorealistic rendering and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Yuzhou Ji , Qijian Tian , He Zhu , Xiaoqi Jiang , Guangzhi Cao , Lizhuang Ma , Yuan Xie , Xin Tan

Phase retrieval, or the process of recovering phase information in reciprocal space to reconstruct images from measured intensity alone, is the underlying basis to a variety of imaging applications including coherent diffraction imaging…

Computer Vision and Pattern Recognition · Computer Science 2018-11-15 Mathew J. Cherukara , Youssef S. G. Nashed , Ross J. Harder

Reconstructing a 3D shape based on a single sketch image is challenging due to the large domain gap between a sparse, irregular sketch and a regular, dense 3D shape. Existing works try to employ the global feature extracted from sketch to…

Computer Vision and Pattern Recognition · Computer Science 2022-12-27 Chenjian Gao , Qian Yu , Lu Sheng , Yi-Zhe Song , Dong Xu

3D object reconstruction from a single-view image is a long-standing challenging problem. Previous work was difficult to accurately reconstruct 3D shapes with a complex topology which has rich details at the edges and corners. Moreover,…

Computer Vision and Pattern Recognition · Computer Science 2020-11-24 Lei Li , Suping Wu

3D reconstruction is a fundamental issue in many applications and the feature point matching problem is a key step while reconstructing target objects. Conventional algorithms can only find a small number of feature points from two images…

Computer Vision and Pattern Recognition · Computer Science 2019-11-26 Zhihao Fang , He Ma , Xuemin Zhu , Xutao Guo , Ruixin Zhou

Recently Fourier Ptychography (FP) has attracted great attention, due to its marked effectiveness in leveraging snapshot numbers for spatial resolution in large field-of-view imaging. To acquire high signal-to-noise-ratio (SNR) images under…

Optics · Physics 2015-02-19 Liheng Bian , Jinli Suo , Guoan Zheng , KaiKai Guo , Feng Chen , Qionghai Dai

A number of deep learning based algorithms have been proposed to recover high-quality videos from low-quality compressed ones. Among them, some restore the missing details of each frame via exploring the spatiotemporal information of…

Image and Video Processing · Electrical Eng. & Systems 2021-08-13 Minyi Zhao , Yi Xu , Shuigeng Zhou

The precise reconstruction of 3D objects from a single RGB image in complex scenes presents a critical challenge in virtual reality, autonomous driving, and robotics. Existing neural implicit 3D representation methods face significant…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Luoxi Zhang , Pragyan Shrestha , Yu Zhou , Chun Xie , Itaru Kitahara

In order to determine the 3D structure of a thick sample, researchers have recently combined ptychography (for high resolution) and tomography (for 3D imaging) in a single experiment. 2-step methods are usually adopted for reconstruction,…

Image and Video Processing · Electrical Eng. & Systems 2020-07-21 Huibin Chang , Pablo Enfedaque , Stefano Marchesini

Snapshot hyperspectral imaging systems acquire spectral data cubes through compressed sensing. Recently, diffractive snapshot spectral imaging (DSSI) methods have attracted significant attention. While various optical designs and…

Image and Video Processing · Electrical Eng. & Systems 2025-07-08 Zhengyue Zhuge , Jiahui Xu , Shiqi Chen , Hao Xu , Yueting Chen , Zhihai Xu , Huajun Feng

High performance sheet metals with a multi-phase microstructure suffer from deformation induced damage formation during forming in the constituent phases but importantly also where these intersect. To capture damage in terms of the physical…