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Rendering 3D human appearance from a single image in real-time is crucial for achieving holographic communication and immersive VR/AR. Existing methods either rely on multi-camera setups or are constrained to offline operations. In this…

Computer Vision and Pattern Recognition · Computer Science 2024-08-15 Yuanwang Yang , Qiao Feng , Yu-Kun Lai , Kun Li

We propose a novel method to generate underwater object imagery that is acoustically compliant with that generated by side-scan sonar using the Unreal Engine. We describe the process to develop, tune, and generate imagery to provide…

Computer Vision and Pattern Recognition · Computer Science 2022-10-20 Jaejeong Shin , Shi Chang , Matthew Bays , Joshua Weaver , Tom Wettergren , Silvia Ferrari

Underwater scene reconstruction poses a substantial challenge because of the intricate interplay between light and the medium, resulting in scattering and absorption effects that make both depth estimation and rendering more complex. While…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Shuyi Hu , Qi Liu

We introduce a high resolution spatially adaptive light source, or a projector, into a neural reflectance field that allows to both calibrate the projector and photo realistic light editing. The projected texture is fully differentiable…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Yotam Erel , Daisuke Iwai , Amit H. Bermano

Neural radiance field (NeRF) research has made significant progress in modeling static video content captured in the wild. However, current models and rendering processes rarely consider scenes captured underwater, which are useful for…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Luca Gough , Adrian Azzarelli , Fan Zhang , Nantheera Anantrasirichai

Non-photorealistic rendering techniques work on image features and often manipulate a set of characteristics such as edges and texture to achieve a desired depiction of the scene. Most computational photography methods decompose an image…

Computer Vision and Pattern Recognition · Computer Science 2016-04-20 Akshay Gadi Patil , Shanmuganathan Raman

Most recent 6D object pose estimation methods, including unsupervised ones, require many real training images. Unfortunately, for some applications, such as those in space or deep under water, acquiring real images, even unannotated, is…

Computer Vision and Pattern Recognition · Computer Science 2022-07-19 Yinlin Hu , Pascal Fua , Mathieu Salzmann

High-quality 3D streaming from multiple cameras is crucial for immersive experiences in many AR/VR applications. The limited number of views - often due to real-time constraints - leads to missing information and incomplete surfaces in the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-06 Leif Van Holland , Domenic Zingsheim , Mana Takhsha , Hannah Dröge , Patrick Stotko , Markus Plack , Reinhard Klein

Underwater image restoration aims to remove geometric and color distortions due to water refraction, absorption and scattering. Previous studies focus on restoring either color or the geometry, but to our best knowledge, not both. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Yue Guo , Haoxiang Liao , Haibin Ling , Bingyao Huang

Super-resolution is a fundamental problem in computer vision which aims to overcome the spatial limitation of camera sensors. While significant progress has been made in single image super-resolution, most algorithms only perform well on…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 Xiangyu Xu , Yongrui Ma , Wenxiu Sun , Ming-Hsuan Yang

We present a fast and simple technique to convert images into a radiance surface-based scene representation. Building on existing radiance volume reconstruction algorithms, we introduce a subtle yet impactful modification of the loss…

Depth estimation from a single underwater image is one of the most challenging problems and is highly ill-posed. Due to the absence of large generalized underwater depth datasets and the difficulty in obtaining ground truth depth-maps,…

Computer Vision and Pattern Recognition · Computer Science 2019-05-29 Honey Gupta , Kaushik Mitra

This paper focuses on investigation of confidential documents leaks in the form of screen photographs. Proposed approach does not try to prevent leak in the first place but rather aims to determine source of the leak. Method works by…

Cryptography and Security · Computer Science 2023-04-26 Aleksey Yakushev , Yury Markin , Dmitry Obydenkov , Alexander Frolov , Stas Fomin , Manuk Akopyan , Alexander Kozachok , Arthur Gaynov

The atmospheric and water turbulence mitigation problems have emerged as challenging inverse problems in computer vision and optics communities over the years. However, current methods either rely heavily on the quality of the training…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Weiyun Jiang , Yuhao Liu , Vivek Boominathan , Ashok Veeraraghavan

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

Motivated by the growing demand for interactive environments, we propose an accurate real-time 3D shape reconstruction technique. To provide a reliable 3D reconstruction which is still a challenging task when dealing with real-world…

Computer Vision and Pattern Recognition · Computer Science 2018-02-20 Maryam Khanian , Ali Sharifi Boroujerdi , Michael Breuss

We present a method for retiming people in an ordinary, natural video -- manipulating and editing the time in which different motions of individuals in the video occur. We can temporally align different motions, change the speed of certain…

Computer Vision and Pattern Recognition · Computer Science 2021-10-04 Erika Lu , Forrester Cole , Tali Dekel , Weidi Xie , Andrew Zisserman , David Salesin , William T. Freeman , Michael Rubinstein

Optical images of transparent three-dimensional objects can be different from a replica of the object's cross section in the image plane due to refraction at the surface or in the body of the object. Simulations of the object's image are…

In the present manuscript, we consider the practical problem of wave interaction with a vertical wall. However, the novelty here consists in the fact that the wall can move horizontally due to a system of springs. The water wave evolution…

Fluid Dynamics · Physics 2020-02-20 Gayaz Khakimzyanov , Denys Dutykh

We propose a novel method to accurately reconstruct a set of images representing a single scene from few linear multi-view measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background…

Computer Vision and Pattern Recognition · Computer Science 2013-09-19 Gilles Puy , Pierre Vandergheynst