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Related papers: User-assisted Video Reflection Removal

200 papers

In this work, we propose a novel procedure for video super-resolution, that is the recovery of a sequence of high-resolution images from its low-resolution counterpart. Our approach is based on a "sequential" model (i.e., each…

Computer Vision and Pattern Recognition · Computer Science 2016-02-16 Patrick Héas , Angélique Drémeau , Cédric Herzet

Recent advances in image-based human pose estimation make it possible to capture 3D human motion from a single RGB video. However, the inherent depth ambiguity and self-occlusion in a single view prohibit the recovery of as high-quality…

Computer Vision and Pattern Recognition · Computer Science 2020-08-20 Junting Dong , Qing Shuai , Yuanqing Zhang , Xian Liu , Xiaowei Zhou , Hujun Bao

Video object detection is more challenging compared to image object detection. Previous works proved that applying object detector frame by frame is not only slow but also inaccurate. Visual clues get weakened by defocus and motion blur,…

Computer Vision and Pattern Recognition · Computer Science 2017-12-19 Congrui Hetang , Hongwei Qin , Shaohui Liu , Junjie Yan

Although it has been widely discussed in video surveillance, background subtraction is still an open problem in the context of complex scenarios, e.g., dynamic backgrounds, illumination variations, and indistinct foreground objects. To…

Computer Vision and Pattern Recognition · Computer Science 2015-02-03 Liang Lin , Yuanlu Xu , Xiaodan Liang , Jianhuang Lai

Focus is a cornerstone of photography, yet autofocus systems often fail to capture the intended subject, and users frequently wish to adjust focus after capture. We introduce a novel method for realistic post-capture refocusing using video…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 SaiKiran Tedla , Zhoutong Zhang , Xuaner Zhang , Shumian Xin

Various blur distortions in video will cause negative impact on both human viewing and video-based applications, which makes motion-robust deblurring methods urgently needed. Most existing works have strong dataset dependency and limited…

Computer Vision and Pattern Recognition · Computer Science 2020-03-27 Ya Zhou , Jianfeng Xu , Kazuyuki Tasaka , Zhibo Chen , Weiping Li

We present a solution for the goal of extracting a video from a single motion blurred image to sequentially reconstruct the clear views of a scene as beheld by the camera during the time of exposure. We first learn motion representation…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Kuldeep Purohit , Anshul Shah , A. N. Rajagopalan

Since specular reflection often exists in the real captured images and causes deviation between the recorded color and intrinsic color, specular reflection separation can bring advantages to multiple applications that require consistent…

Computer Vision and Pattern Recognition · Computer Science 2022-01-26 Sijia Wen , Yingqiang Zheng , Feng Lu

Rain removal aims to remove rain streaks from images/videos and reduce the disruptive effects caused by rain. It not only enhances image/video visibility but also allows many computer vision algorithms to function properly. This paper makes…

Computer Vision and Pattern Recognition · Computer Science 2022-04-01 Yi Yu , Wenhan Yang , Yap-Peng Tan , Alex C. Kot

Tourists and Wild-life photographers are often hindered in capturing their cherished images or videos by a fence that limits accessibility to the scene of interest. The situation has been exacerbated by growing concerns of security at…

Computer Vision and Pattern Recognition · Computer Science 2018-05-21 Krishna Kanth Nakka

This paper aims to recover the intrinsic reflectance layer and shading layer given a single image. Though this intrinsic image decomposition problem has been studied for decades, it remains a significant challenge in cases of complex…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Xiaodong Wang , Zijun He , Xin Yuan

Precise, object-aware control over visual content is essential for advanced image editing and compositional generation. Yet, most existing approaches operate on entire images holistically, limiting the ability to isolate and manipulate…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Fangyi Chen , Yaojie Shen , Lu Xu , Ye Yuan , Shu Zhang , Yulei Niu , Longyin Wen

Clutter in photos is a distraction preventing photographers from conveying the intended emotions or stories to the audience. Photography amateurs frequently include clutter in their photos due to unconscious negligence or the lack of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Xiaoran Wu

Neural Radiance Fields (NeRF) have demonstrated exceptional capabilities in reconstructing complex scenes with high fidelity. However, NeRF's view dependency can only handle low-frequency reflections. It falls short when handling complex…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Chen Gao , Yipeng Wang , Changil Kim , Jia-Bin Huang , Johannes Kopf

This paper considers how to separate text and/or graphics from smooth background in screen content and mixed document images and proposes two approaches to perform this segmentation task. The proposed methods make use of the fact that the…

Computer Vision and Pattern Recognition · Computer Science 2016-07-12 Shervin Minaee , Yao Wang

The widespread use of cameras in everyday life situations generates a vast amount of data that may contain sensitive information about the people and vehicles moving in front of them (location, license plates, physical characteristics,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Roman Plaud , Jose-Luis Lisani

The blocking artifact frequently appears in compressed real-world images or video sequences, especially coded at low bit rates, which is visually annoying and likely hurts the performance of many computer vision algorithms. A compressed…

Computer Vision and Pattern Recognition · Computer Science 2015-07-07 Xiaojie Guo

Simultaneous reconstruction of geometry and reflectance properties in uncontrolled environments remains a challenging problem. In this paper, we propose an efficient method to reconstruct the scene's 3D geometry and reflectance from…

Computer Vision and Pattern Recognition · Computer Science 2022-03-01 Rui Li , Guangmin Zang , Miao Qi , Wolfgang Heidrich

The waterdrops on windshields during driving can cause severe visual obstructions, which may lead to car accidents. Meanwhile, the waterdrops can also degrade the performance of a computer vision system in autonomous driving. To address…

Computer Vision and Pattern Recognition · Computer Science 2023-02-27 Qiang Wen , Yue Wu , Qifeng Chen

Recent advances in video diffusion models have driven rapid progress in video editing techniques. However, video object removal, a critical subtask of video editing, remains challenging due to issues such as hallucinated objects and visual…

Computer Vision and Pattern Recognition · Computer Science 2025-06-02 Bojia Zi , Weixuan Peng , Xianbiao Qi , Jianan Wang , Shihao Zhao , Rong Xiao , Kam-Fai Wong