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Despite the success of StyleGAN in image synthesis, the images it synthesizes are not always perfect and the well-known truncation trick has become a standard post-processing technique for StyleGAN to synthesize high-quality images.…

Computer Vision and Pattern Recognition · Computer Science 2023-10-16 Shuang Song , Yuanbang Liang , Jing Wu , Yu-Kun Lai , Yipeng Qin

This paper presents a novel method for the reconstruction of high-resolution temporal images in dynamic tomographic imaging, particularly for discrete objects with smooth boundaries that vary over time. Addressing the challenge of limited…

Image and Video Processing · Electrical Eng. & Systems 2023-11-10 Ajinkya Kadu , Felix Lucka , Kees Joost Batenburg

Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a Knowledge Base (KB). However, retrofitting only works on concepts that are present in that KB.…

Computation and Language · Computer Science 2021-08-31 Pedro Colon-Hernandez , Yida Xin , Henry Lieberman , Catherine Havasi , Cynthia Breazeal , Peter Chin

A significant volume of analog information, i.e., documents and images, have been digitized in the form of scanned copies for storing, sharing, and/or analyzing in the digital world. However, the quality of such contents is severely…

Computer Vision and Pattern Recognition · Computer Science 2024-02-09 Junghun Cha , Ali Haider , Seoyun Yang , Hoeyeong Jin , Subin Yang , A. F. M. Shahab Uddin , Jaehyoung Kim , Soo Ye Kim , Sung-Ho Bae

Nonlocal filters are simple and powerful techniques for image denoising. In this paper we study the reformulation of a broad class of nonlocal filters in terms of two functional rearrangements: the decreasing and the relative…

Computer Vision and Pattern Recognition · Computer Science 2014-06-30 Gonzalo Galiano , Julián Velasco

While recent research has progressively overcome the low-resolution constraint of one-shot face video re-enactment with the help of StyleGAN's high-fidelity portrait generation, these approaches rely on at least one of the following:…

Computer Vision and Pattern Recognition · Computer Science 2023-02-16 Trevine Oorloff , Yaser Yacoob

StyleGAN is known to produce high-fidelity images, while also offering unprecedented semantic editing. However, these fascinating abilities have been demonstrated only on a limited set of datasets, which are usually structurally aligned and…

Computer Vision and Pattern Recognition · Computer Science 2022-02-25 Ron Mokady , Michal Yarom , Omer Tov , Oran Lang , Daniel Cohen-Or , Tali Dekel , Michal Irani , Inbar Mosseri

Real-world image matting is essential for applications in content creation and augmented reality. However, it remains challenging due to the complex nature of scenes and the scarcity of high-quality datasets. To address these limitations,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Rui Liu

Photorealistic image stylization concerns transferring style of a reference photo to a content photo with the constraint that the stylized photo should remain photorealistic. While several photorealistic image stylization methods exist,…

Computer Vision and Pattern Recognition · Computer Science 2018-07-30 Yijun Li , Ming-Yu Liu , Xueting Li , Ming-Hsuan Yang , Jan Kautz

Given a grayscale photograph as input, this paper attacks the problem of hallucinating a plausible color version of the photograph. This problem is clearly underconstrained, so previous approaches have either relied on significant user…

Computer Vision and Pattern Recognition · Computer Science 2016-10-06 Richard Zhang , Phillip Isola , Alexei A. Efros

Numerous style transfer methods which produce artistic styles of portraits have been proposed to date. However, the inverse problem of converting the stylized portraits back into realistic faces is yet to be investigated thoroughly.…

Computer Vision and Pattern Recognition · Computer Science 2018-02-06 Fatemeh Shiri , Xin Yu , Fatih Porikli , Piotr Koniusz

We introduce a highly robust GAN-based framework for digitizing a normalized 3D avatar of a person from a single unconstrained photo. While the input image can be of a smiling person or taken in extreme lighting conditions, our method can…

Computer Vision and Pattern Recognition · Computer Science 2021-06-23 Huiwen Luo , Koki Nagano , Han-Wei Kung , Mclean Goldwhite , Qingguo Xu , Zejian Wang , Lingyu Wei , Liwen Hu , Hao Li

StyleGAN is one of the state-of-the-art image generators which is well-known for synthesizing high-resolution and hyper-realistic face images. Though images generated by vanilla StyleGAN model are visually appealing, they sometimes contain…

Computer Vision and Pattern Recognition · Computer Science 2021-03-05 Way Tan , Bihan Wen , Xulei Yang

This paper describes a method to restore degraded images captured in a participating media -- fog, turbid water, sand storm, etc. Differently from the related work that only deal with a medium, we obtain generality by using an image…

Computer Vision and Pattern Recognition · Computer Science 2019-03-13 Joel D. O. Gaya , Felipe Codevilla , Amanda C. Duarte , Paulo L. Drews-Jr , Silvia S. Botelho

Acquired images for medical and other purposes can be affected by noise from both the equipment used in the capturing or the environment. This can have adverse effect on the information therein. Thus, the need to restore the image to its…

Image and Video Processing · Electrical Eng. & Systems 2024-01-19 E. G. Onyedinma , I. E. Onyenwe

Existing approaches and datasets for face aging produce results skewed towards the mean, with individual variations and expression wrinkles often invisible or overlooked in favor of global patterns such as the fattening of the face.…

Computer Vision and Pattern Recognition · Computer Science 2021-03-12 Julien Despois , Frederic Flament , Matthieu Perrot

In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep generative network which can hallucinate images of a scene as if…

Computer Vision and Pattern Recognition · Computer Science 2019-10-10 Levent Karacan , Zeynep Akata , Aykut Erdem , Erkut Erdem

Recovering the past from present observations is an intriguing challenge with potential applications in forensics and scene analysis. Thermal imaging, operating in the infrared range, provides access to otherwise invisible information.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Kebin Contreras , Luis Toscano-Palomino , Mauro Dalla Mura , Jorge Bacca

In recent years, image editing has advanced remarkably. With increased human control, it is now possible to edit an image in a plethora of ways; from specifying in text what we want to change, to straight up dragging the contents of the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-19 Thao Nguyen , Utkarsh Ojha , Yuheng Li , Haotian Liu , Yong Jae Lee

We introduce a data-driven approach for unsupervised video retargeting that translates content from one domain to another while preserving the style native to a domain, i.e., if contents of John Oliver's speech were to be transferred to…

Computer Vision and Pattern Recognition · Computer Science 2018-08-16 Aayush Bansal , Shugao Ma , Deva Ramanan , Yaser Sheikh