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The reflection superposition phenomenon is complex and widely distributed in the real world, which derives various simplified linear and nonlinear formulations of the problem. In this paper, based on the investigation of the weaknesses of…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Qiming Hu , Xiaojie Guo

We present {\mu}Split, a dedicated approach for trained image decomposition in the context of fluorescence microscopy images. We find that best results using regular deep architectures are achieved when large image patches are used during…

Computer Vision and Pattern Recognition · Computer Science 2023-08-21 Ashesh , Alexander Krull , Moises Di Sante , Francesco Silvio Pasqualini , Florian Jug

We cast diffraction-based interferometry in the framework of post-selected unitary description towards enabling it as a platform for quantum information processing. We express slit-diffraction as an infinite-dimensional transformation and…

Quantum Physics · Physics 2021-09-17 Simanraj Sadana , Barry C. Sanders , Urbasi Sinha

The emergence of neural and Gaussian-based radiance field methods has led to considerable advancements in novel view synthesis and 3D object reconstruction. Nonetheless, specular reflection and refraction continue to pose significant…

Graphics · Computer Science 2025-05-02 Letian Huang , Dongwei Ye , Jialin Dan , Chengzhi Tao , Huiwen Liu , Kun Zhou , Bo Ren , Yuanqi Li , Yanwen Guo , Jie Guo

Traditional reflection removal algorithms either use a single image as input, which suffers from intrinsic ambiguities, or use multiple images from a moving camera, which is inconvenient for users. We instead propose a learning-based…

Computer Vision and Pattern Recognition · Computer Science 2020-10-05 Simon Niklaus , Xuaner Cecilia Zhang , Jonathan T. Barron , Neal Wadhwa , Rahul Garg , Feng Liu , Tianfan Xue

Removing undesired reflection from an image captured through a glass surface is a very challenging problem with many practical application scenarios. For improving reflection removal, cascaded deep models have been usually adopted to…

Computer Vision and Pattern Recognition · Computer Science 2021-02-23 Yu Li , Ming Liu , Yaling Yi , Qince Li , Dongwei Ren , Wangmeng Zuo

Lenses are typically based on refractive index profiles derived from the geometric approximation of high-frequency waves, yet the critical issue of impedance mismatch is often neglected. Mismatched devices suffer from unwanted reflections…

Optics · Physics 2025-06-18 Sebastiano Cominelli

Rendering complex reflection of real-world scenes using 3D Gaussian splatting has been a quite promising solution for photorealistic novel view synthesis, but still faces bottlenecks especially in rendering speed and memory storage. This…

Computer Vision and Pattern Recognition · Computer Science 2026-03-26 Chang Liu , Hongliang Yuan , Lianghao Zhang , Sichao Wang , Jianwei Guo , Shi-Sheng Huang

Pseudoscopic (inverted depth) images that keep a continuous parallax were shown to be possible by use of a double diffraction process intermediated by a slit. One diffraction grating directing light to the slit acts as a wavelength encoder…

Optics · Physics 2009-11-13 Jose J. Lunazzi , Noemi I. Rivera

In the real world, a scene is usually cast by multiple illuminants and herein we address the problem of spatial illumination estimation. Our solution is based on detecting gray pixels with the help of flash photography. We show that flash…

Computer Vision and Pattern Recognition · Computer Science 2019-02-28 Yanlin Qian , Song Yan , Joni-Kristian Kämäräinen , Jiri Matas

Lens flare significantly degrades image quality, impacting critical computer vision tasks like object detection and autonomous driving. Recent Single Image Flare Removal (SIFR) methods perform poorly when off-frame light sources are…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Shr-Ruei Tsai , Wei-Cheng Chang , Jie-Ying Lee , Chih-Hai Su , Yu-Lun Liu

Taking pictures through glass windows almost always produces undesired reflections that degrade the quality of the photo. The ill-posed nature of the reflection removal problem reached the attention of many researchers for more than…

Image and Video Processing · Electrical Eng. & Systems 2021-05-12 Andreea Birhala , Ionut Mironica

Enhancing low-light traffic images is crucial for reliable perception in autonomous driving, intelligent transportation, and urban surveillance systems. Nighttime and dimly lit traffic scenes often suffer from poor visibility due to low…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Siddiqua Namrah

Reflection removal of a single image remains a highly challenging task due to the complex entanglement between target scenes and unwanted reflections. Despite significant progress, existing methods are hindered by the scarcity of…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Jichen Hu , Chen Yang , Zanwei Zhou , Jiemin Fang , Xiaokang Yang , Qi Tian , Wei Shen

We propose the first approach for the decomposition of a monocular color video into direct and indirect illumination components in real time. We retrieve, in separate layers, the contribution made to the scene appearance by the scene…

Computer Vision and Pattern Recognition · Computer Science 2021-08-18 Abhimitra Meka , Mohammad Shafiei , Michael Zollhoefer , Christian Richardt , Christian Theobalt

In this work, we propose an inverse rendering model that estimates 3D shape, spatially-varying reflectance, homogeneous subsurface scattering parameters, and an environment illumination jointly from only a pair of captured images of a…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Chenhao Li , Trung Thanh Ngo , Hajime Nagahara

Transparent image layer generation plays a significant role in digital art and design workflows. Existing methods typically decompose transparent layers from a single RGB image using a set of tools or generate multiple transparent layers…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Dingbang Huang , Wenbo Li , Yifei Zhao , Xinyu Pan , Chun Wang , Yanhong Zeng , Bo Dai

We present a method to determine the static aberrations in a nearly diffraction-limited spectrograph introduced, for example, by alignment or manufacturing errors. We consider an instrument with two stages separated by a slit or image…

Instrumentation and Methods for Astrophysics · Physics 2022-06-01 B. Sánchez , A. M. Watson , S. Cuevas

We present TraceFlow, a novel framework for high-fidelity rendering of dynamic specular scenes by addressing two key challenges: precise reflection direction estimation and physically accurate reflection modeling. To achieve this, we…

Computer Vision and Pattern Recognition · Computer Science 2025-12-12 Jiachen Tao , Junyi Wu , Haoxuan Wang , Zongxin Yang , Dawen Cai , Yan Yan

Reflection removal is challenging due to complex light interactions, where reflections obscure important details and hinder scene understanding. Polarization naturally provides a powerful cue to distinguish between reflected and transmitted…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Mingde Yao , Menglu Wang , King-Man Tam , Lingen Li , Tianfan Xue , Jinwei Gu