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Manipulating transparent objects presents significant challenges due to the complexities introduced by their reflection and refraction properties, which considerably hinder the accurate estimation of their 3D shapes. To address these…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Haoxiao Wang , Kaichen Zhou , Binrui Gu , Zhiyuan Feng , Weijie Wang , Peilin Sun , Yicheng Xiao , Jianhua Zhang , Hao Dong

Reconstructing the shape and appearance of real-world objects using measured 2D images has been a long-standing problem in computer vision. In this paper, we introduce a new analysis-by-synthesis technique capable of producing high-quality…

Computer Vision and Pattern Recognition · Computer Science 2021-06-28 Fujun Luan , Shuang Zhao , Kavita Bala , Zhao Dong

Shadows can originate from occlusions in both direct and indirect illumination. Although most current shadow removal research focuses on shadows caused by direct illumination, shadows from indirect illumination are often just as pervasive,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Jiamin Xu , Zelong Li , Yuxin Zheng , Chenyu Huang , Renshu Gu , Weiwei Xu , Gang Xu

Ptychography involves a sample being illuminated by a coherent, localised probe of illumination. When the probe interacts with the sample, the light is diffracted and a diffraction pattern is detected. Then the probe or sample is shifted…

Numerical Analysis · Mathematics 2023-05-09 Mark Philip Roach

2D face analysis techniques, such as face landmarking, face recognition and face verification, are reasonably dependent on illumination conditions which are usually uncontrolled and unpredictable in the real world. An illumination robust…

Computer Vision and Pattern Recognition · Computer Science 2017-10-17 Wuming Zhang , Xi Zhao , Jean-Marie Morvan , Liming Chen

We propose a way of implementing an event cloaking device without the use of metamaterials. Rather than slowing down and speeding up light, we manipulate an obscurity gap by diverting the light through paths of appropriate length with an…

Optics · Physics 2013-08-13 Miguel A. Lerma

Separating an image into meaningful underlying components is a crucial first step for both editing and understanding images. We present a method capable of selecting the regions of a photograph exhibiting the same material as an…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Prafull Sharma , Julien Philip , Michaël Gharbi , William T. Freeman , Fredo Durand , Valentin Deschaintre

Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios. We show that a combination of cues from multiple sensor modalities,…

Computer Vision and Pattern Recognition · Computer Science 2016-06-06 Alexander Hagg , Frederik Hegger , Paul Plöger

Traditional 3D shape reconstruction techniques from multi-view images, such as structure from motion and multi-view stereo, face challenges in reconstructing transparent objects. Recent advances in neural radiance fields and its variants…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Haoran Zhang , Junkai Deng , Xuhui Chen , Fei Hou , Wencheng Wang , Hong Qin , Chen Qian , Ying He

Imaging through scattering media is encountered in many disciplines or sciences, ranging from biology, mesescopic physics and astronomy. But it is still a big challenge because light suffers from multiple scattering is such media and can be…

Neural and Evolutionary Computing · Computer Science 2017-08-29 Meng Lyu , Hao Wang , Guowei Li , Guohai Situ

Capturing geometric and material information from images remains a fundamental challenge in computer vision and graphics. Traditional optimization-based methods often require hours of computational time to reconstruct geometry, material…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Zhibing Li , Tong Wu , Jing Tan , Mengchen Zhang , Jiaqi Wang , Dahua Lin

Recent advances in neural rendering have shown great potential for reconstructing scenes from multiview images. However, accurately representing objects with glossy surfaces remains a challenge for existing methods. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Ruofan Liang , Huiting Chen , Chunlin Li , Fan Chen , Selvakumar Panneer , Nandita Vijaykumar

Recent approaches for 3D relighting have shown promise in integrating 2D image relighting generative priors to alter the appearance of a 3D representation while preserving the underlying structure. Nevertheless, generative priors used for…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Yehonathan Litman , Fernando De la Torre , Shubham Tulsiani

Exploratory analysis of scalar fields on surface meshes presents significant challenges in identifying and visualizing important regions, particularly on the surface's backside. Previous visualization methods achieved only a limited…

Graphics · Computer Science 2024-05-30 Kai Lawonn , Monique Meuschke , Tobias Günther

Three-dimensional (3D) object reconstruction based on differentiable rendering (DR) is an active research topic in computer vision. DR-based methods minimize the difference between the rendered and target images by optimizing both the shape…

Computer Vision and Pattern Recognition · Computer Science 2022-11-23 Chunyu Li , Taisuke Hashimoto , Eiichi Matsumoto , Hiroharu Kato

Relighting of human images enables post-photography editing of lighting effects in portraits. The current mainstream approach uses neural networks to approximate lighting effects without explicitly accounting for the principle of physical…

Graphics · Computer Science 2024-11-04 Daichi Tajima , Yoshihiro Kanamori , Yuki Endo

Mixed Reality scene relighting, where virtual changes to lighting conditions realistically interact with physical objects, producing authentic illumination and shadows, can be used in a variety of applications. One such application in real…

Graphics · Computer Science 2025-08-22 Hanwen Zhao , John Akers , Baback Elmieh , Ira Kemelmacher-Shlizerman

Vehicles, search and rescue personnel, and endoscopes use flash lights to locate, identify, and view objects in their surroundings. Here we show the first steps of how all these tasks can be done around corners with consumer cameras. Recent…

Computer Vision and Pattern Recognition · Computer Science 2018-10-30 Matthew Tancik , Guy Satat , Ramesh Raskar

In nighttime circumstances, it is challenging for individuals and machines to perceive their surroundings. While prevailing image restoration methods adeptly handle singular forms of degradation, they falter when confronted with intricate…

Computer Vision and Pattern Recognition · Computer Science 2026-05-15 Yifan Chen , Fei Yin , Chunle Guo , Chongyi Li , Yujiu Yang

The wavefront is scrambled when coherent light propagates through a random scattering medium and which makes direct use of the conventional optical methods ineffective. In this paper, we propose and demonstrate a structured light…