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Three-dimensional phase contrast imaging of multiply-scattering samples in X-ray and electron microscopy is extremely challenging, due to small numerical apertures, the unavailability of wavefront shaping optics, and the highly nonlinear…

Computational Physics · Physics 2021-06-02 Philipp M Pelz , Hamish G Brown , Jim Ciston , Scott D Findlay , Yaqian Zhang , Mary Scott , Colin Ophus

Inverse rendering of an object under entirely unknown capture conditions is a fundamental challenge in computer vision and graphics. Neural approaches such as NeRF have achieved photorealistic results on novel view synthesis, but they…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Mark Boss , Andreas Engelhardt , Abhishek Kar , Yuanzhen Li , Deqing Sun , Jonathan T. Barron , Hendrik P. A. Lensch , Varun Jampani

Recent works in inverse rendering have shown promise in using multi-view images of an object to recover shape, albedo, and materials. However, the recovered components often fail to render accurately under new lighting conditions due to the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-03 Yehonathan Litman , Or Patashnik , Kangle Deng , Aviral Agrawal , Rushikesh Zawar , Fernando De la Torre , Shubham Tulsiani

Blended light is an important source of degeneracy in the characterization of microlensing events, particularly in binary-lens and high magnification events. We show how the techniques of image subtraction can be applied to form an image of…

Astrophysics · Physics 2007-05-23 Andrew Gould , Jin H. An

Fringe projection profilometry-based 3-D reconstruction of objects with high reflectivity and low surface roughness remains a significant challenge. When measuring such glossy surfaces, specular reflection and indirect illumination often…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Sanghoon Jeon , Gihyun Jung , Suhyeon Ka , Jae-Sang Hyun

Nighttime photography is severely degraded by light pollution induced by pervasive artificial lighting in urban environments. After long-range scattering and spatial diffusion, unwanted artificial light overwhelms natural night luminance,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Hao Wang , Xiaolin Wu , Xi Zhang , Baoqing Sun

Neural Radiance Fields (NeRFs) typically struggle to reconstruct and render highly specular objects, whose appearance varies quickly with changes in viewpoint. Recent works have improved NeRF's ability to render detailed specular appearance…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Dor Verbin , Pratul P. Srinivasan , Peter Hedman , Ben Mildenhall , Benjamin Attal , Richard Szeliski , Jonathan T. Barron

This paper presents DeepShadow, a one-shot method for recovering the depth map and surface normals from photometric stereo shadow maps. Previous works that try to recover the surface normals from photometric stereo images treat cast shadows…

Computer Vision and Pattern Recognition · Computer Science 2022-11-01 Asaf Karnieli , Ohad Fried , Yacov Hel-Or

In this paper, we study the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized mapping from the…

Computer Vision and Pattern Recognition · Computer Science 2014-12-30 Zhengdong Zhang , Phillip Isola , Edward H. Adelson

In this paper, we define a new problem of recovering the 3D geometry of an object confined in a transparent enclosure. We also propose a novel method for solving this challenging problem. Transparent enclosures pose challenges of multiple…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Jinguang Tong , Sundaram Muthu , Fahira Afzal Maken , Chuong Nguyen , Hongdong Li

We propose SIR, an efficient method to decompose differentiable shadows for inverse rendering on indoor scenes using multi-view data, addressing the challenges in accurately decomposing the materials and lighting conditions. Unlike previous…

Computer Vision and Pattern Recognition · Computer Science 2025-04-29 Xiaokang Wei , Zhuoman Liu , Ping Li , Yan Luximon

Visual features, whose description often relies on the local intensity and gradient direction, have found wide applications in robot navigation and localization in recent years. However, the extraction of visual features is usually…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Shunyi Zhao , Zehuan Yu , Zuxin Fan , Zhihao Zhou , Lecheng Ruan , Qining Wang

Scattering can rapidly degrade our ability to form an optical image, to the point where only speckle-like patterns can be measured. Truly non-invasive imaging through a strongly scattering obstacle is difficult, and usually reliant on a…

Optics · Physics 2022-10-26 Y. Jauregui-Sánchez , Harry Penketh , Jacopo Bertolotti

Automatic document content processing is affected by artifacts caused by the shape of the paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on real data are impossible due to the large amount of data…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Sagnik Das , Hassan Ahmed Sial , Ke Ma , Ramon Baldrich , Maria Vanrell , Dimitris Samaras

Detailed 3D reconstruction and photo-realistic relighting of digital humans are essential for various applications. To this end, we propose a novel sparse-view 3d human reconstruction framework that closely incorporates the occupancy field…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Ruichen Zheng , Peng Li , Haoqian Wang , Tao Yu

We propose a method for in-hand 3D scanning of an unknown object with a monocular camera. Our method relies on a neural implicit surface representation that captures both the geometry and the appearance of the object, however, by contrast…

Computer Vision and Pattern Recognition · Computer Science 2023-06-23 Shreyas Hampali , Tomas Hodan , Luan Tran , Lingni Ma , Cem Keskin , Vincent Lepetit

Complementary to conventional and phase X-ray radiography, dark-field imaging has become central in visualizing diffusive scattering signal due to the spatially-unresolved texture within an object. To date most diffusive-dark-field…

Medical Physics · Physics 2023-03-21 Mario A. Beltran , David M. Paganin , Michelle K. Croughan , Kaye S. Morgan

A high-accuracy solution of the diffraction problem has become necessary for the treatment of certain special questions of statistical physics. This article reports the creation of a computer program that serves as an instrumental method of…

Optics · Physics 2013-08-30 Vladimir V. Savukov , Igor V. Golubenko

We address the challenge of relighting a single image or video, a task that demands precise scene intrinsic understanding and high-quality light transport synthesis. Existing end-to-end relighting models are often limited by the scarcity of…

Computer Vision and Pattern Recognition · Computer Science 2025-06-19 Kai He , Ruofan Liang , Jacob Munkberg , Jon Hasselgren , Nandita Vijaykumar , Alexander Keller , Sanja Fidler , Igor Gilitschenski , Zan Gojcic , Zian Wang

Invisible persons are seen in fiction stories only, but in the real world it is proved that invisibility is possible. This paper describes the creation of invisibility with the help of technologies like Optical camouflage; Image based…

Other Computer Science · Computer Science 2014-04-17 Vasireddy Srikanth , Pillem Ramesh
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