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Related papers: Exploiting Aliasing for Manga Restoration

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Non-regular sampling can reduce aliasing at the expense of noise. Recently, it has been shown that non-regular sampling can be carried out using a conventional regular imaging sensor when the surface of its individual pixels is partially…

Image and Video Processing · Electrical Eng. & Systems 2022-03-02 Simon Grosche , Jürgen Seiler , André Kaup

Recent advancements in neural rendering, particularly 2D Gaussian Splatting (2DGS), have shown promising results for jointly reconstructing fine appearance and geometry by leveraging 2D Gaussian surfels. However, current methods face…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Yunzhou Song , Heguang Lin , Jiahui Lei , Lingjie Liu , Kostas Daniilidis

Recent research has shown that temporal downsampling of high-frame-rate sequences can be exploited to improve the rate-distortion performance in video coding. However, until now, research only targeted downsampling factors of powers of two,…

Image and Video Processing · Electrical Eng. & Systems 2022-09-22 Christian Herglotz , Geetha Ramasubbu , André Kaup

Existing methods for AI-generated artworks still struggle with generating high-quality stylized content, where high-level semantics are preserved, or separating fine-grained styles from various artists. We propose a novel Generative…

Computer Vision and Pattern Recognition · Computer Science 2019-12-23 Sitao Xiang , Hao Li

In this paper, we introduce a new perspective for improving image restoration by removing degradation in the textual representations of a given degraded image. Intuitively, restoration is much easier on text modality than image one. For…

Computer Vision and Pattern Recognition · Computer Science 2024-01-01 Jingbo Lin , Zhilu Zhang , Yuxiang Wei , Dongwei Ren , Dongsheng Jiang , Wangmeng Zuo

All-in-one image restoration aims to handle multiple degradation types using one model. This paper proposes a simple pipeline for all-in-one blind image restoration to Restore Anything with Masks (RAM). We focus on the image content by…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Chu-Jie Qin , Rui-Qi Wu , Zikun Liu , Xin Lin , Chun-Le Guo , Hyun Hee Park , Chongyi Li

Image inverse halftoning is a classic image restoration task, aiming to recover continuous-tone images from halftone images with only bilevel pixels. Because the halftone images lose much of the original image content, inverse halftoning is…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Feiyu Li , Jun Yang

Constructing high-quality character image datasets is challenging because real-world images are often affected by image degradation. There are limitations when applying current image restoration methods to such real-world character images,…

Computer Vision and Pattern Recognition · Computer Science 2022-07-20 Daqian Shi , Xiaolei Diao , Hao Tang , Xiaomin Li , Hao Xing , Hao Xu

This paper presents a super-resolution method based on gradient-based adaptive interpolation. In this method, in addition to considering the distance between the interpolated pixel and the neighboring valid pixel, the interpolation…

Multimedia · Computer Science 2009-03-25 Jinyu Chu , Ju Liu , Jianping Qiao , Xiaoling Wang , Yujun Li

In this paper, we propose a novel framework to translate a portrait photo-face into an anime appearance. Our aim is to synthesize anime-faces which are style-consistent with a given reference anime-face. However, unlike typical translation…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Bing Li , Yuanlue Zhu , Yitong Wang , Chia-Wen Lin , Bernard Ghanem , Linlin Shen

Multi-atlas segmentation (MAS) is a popular image segmentation technique for medical images. In this work, we improve the performance of MAS by correcting registration errors before label fusion. Specifically, we use a volumetric…

Image and Video Processing · Electrical Eng. & Systems 2020-10-27 Zhipeng Ding , Marc Niethammer

Due to their highly structured characteristics, faces are easier to recover than natural scenes for blind image super-resolution. Therefore, we can extract the degradation representation of an image from the low-quality and recovered face…

Computer Vision and Pattern Recognition · Computer Science 2023-09-18 Zhicun Yin , Ming Liu , Xiaoming Li , Hui Yang , Longan Xiao , Wangmeng Zuo

Scaling and lossy coding are widely used in video transmission and storage. Previous methods for enhancing the resolution of such videos often ignore the inherent interference between resolution loss and compression artifacts, which…

Computer Vision and Pattern Recognition · Computer Science 2021-03-29 Dewang Hou , Yang Zhao , Yuyao Ye , Jiayu Yang , Jian Zhang , Ronggang Wang

Many lighting methods used in computer graphics such as indirect illumination can have very high computational costs and need to be approximated for real-time applications. These costs can be reduced by means of upsampling techniques which…

Graphics · Computer Science 2019-06-12 Simon Besenthal , Sebastian Maisch , Timo Ropinski

We tackle the problem of machine translation of manga, Japanese comics. Manga translation involves two important problems in machine translation: context-aware and multimodal translation. Since text and images are mixed up in an…

Computation and Language · Computer Science 2021-01-12 Ryota Hinami , Shonosuke Ishiwatari , Kazuhiko Yasuda , Yusuke Matsui

Cosplay has grown from its origins at fan conventions into a billion-dollar global dress phenomenon. To facilitate imagination and reinterpretation from animated images to real garments, this paper presents an automatic costume image…

Computer Vision and Pattern Recognition · Computer Science 2020-08-27 Koya Tango , Marie Katsurai , Hayato Maki , Ryosuke Goto

Working with images, one often faces problems with incomplete or unclear information. Image inpainting can be used to restore missing image regions but focuses, however, on low-level image features such as pixel intensity, pixel gradient…

Computer Vision and Pattern Recognition · Computer Science 2020-11-03 Tobias Schlagenhauf , Yefeng Xia , Jürgen Fleischer

Traditional image resizing methods usually work in pixel space and use various saliency measures. The challenge is to adjust the image shape while trying to preserve important content. In this paper we perform image resizing in feature…

Computer Vision and Pattern Recognition · Computer Science 2021-06-23 Moab Arar , Dov Danon , Daniel Cohen-Or , Ariel Shamir

As aliasing artefacts are highly structural and non-local, many MRI reconstruction networks use pooling to enlarge filter coverage and incorporate global context. However, this inadvertently impedes fine detail recovery as downsampling…

Image and Video Processing · Electrical Eng. & Systems 2023-12-01 Wendi Ma , Marlon Bran Lorenzana , Wei Dai , Hongfu Sun , Shekhar S. Chandra

Recent advances in 3D Gaussian splatting have significantly improved real-time novel view synthesis, yet insufficient geometric constraints during scene optimization often result in blurred reconstructions of fine-grained details,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Zheng Zhou , Jia-Chen Zhang , Yu-Jie Xiong , Chun-Ming Xia