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Related papers: A survey of exemplar-based texture synthesis

200 papers

Some mixtures, such as colloids like milk, blood, and gelatin, have homogeneous appearance when viewed with the naked eye, however, to observe them at the nanoscale is possible to understand the heterogeneity of its components. The same…

Computer Vision and Pattern Recognition · Computer Science 2013-04-17 Núbia Rosa da Silva , Odemir Martinez Bruno

This work investigates text-to-texture synthesis using diffusion models to generate physically-based texture maps. We aim to achieve realistic model appearances under varying lighting conditions. A prominent solution for the task is score…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Mishan Aliev , Dmitry Baranchuk , Kirill Struminsky

Given a 3D mesh, we aim to synthesize 3D textures that correspond to arbitrary textual descriptions. Current methods for generating and assembling textures from sampled views often result in prominent seams or excessive smoothing. To tackle…

Computer Vision and Pattern Recognition · Computer Science 2024-08-05 Dong Huo , Zixin Guo , Xinxin Zuo , Zhihao Shi , Juwei Lu , Peng Dai , Songcen Xu , Li Cheng , Yee-Hong Yang

This work proposes a novel method based on a pseudo-parabolic diffusion process to be employed for texture recognition. The proposed operator is applied over a range of time scales giving rise to a family of images transformed by nonlinear…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Jardel Vieira , Eduardo Abreu , Joao B. Florindo

This paper presents the first end-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent…

Computer Vision and Pattern Recognition · Computer Science 2019-06-25 Bo Zhang , Mingming He , Jing Liao , Pedro V. Sander , Lu Yuan , Amine Bermak , Dong Chen

We propose GOTEX, a general framework for texture synthesis by optimization that constrains the statistical distribution of local features. While our model encompasses several existing texture models, we focus on the case where the…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Antoine Houdard , Arthur Leclaire , Nicolas Papadakis , Julien Rabin

Text-to-texture generation has recently attracted increasing attention, but existing methods often suffer from the problems of view inconsistencies, apparent seams, and misalignment between textures and the underlying mesh. In this paper,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Jangyeong Kim , Donggoo Kang , Junyoung Choi , Jeonga Wi , Junho Gwon , Jiun Bae , Dumim Yoon , Junghyun Han

Recently, deep generative adversarial networks for image generation have advanced rapidly; yet, only a small amount of research has focused on generative models for irregular structures, particularly meshes. Nonetheless, mesh generation and…

Graphics · Computer Science 2020-08-20 Amir Hertz , Rana Hanocka , Raja Giryes , Daniel Cohen-Or

We present a novel method for the interactive control of geometric abstraction and texture in artistic images. Previous example-based stylization methods often entangle shape, texture, and color, while generative methods for image synthesis…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Martin Büßemeyer , Max Reimann , Benito Buchheim , Amir Semmo , Jürgen Döllner , Matthias Trapp

Realistic color texture generation is an important step in RGB-D surface reconstruction, but remains challenging in practice due to inaccuracies in reconstructed geometry, misaligned camera poses, and view-dependent imaging artifacts. In…

Computer Vision and Pattern Recognition · Computer Science 2020-03-20 Jingwei Huang , Justus Thies , Angela Dai , Abhijit Kundu , Chiyu Max Jiang , Leonidas Guibas , Matthias Nießner , Thomas Funkhouser

While large text-to-image models are able to synthesize "novel" images, these images are necessarily a reflection of the training data. The problem of data attribution in such models -- which of the images in the training set are most…

Computer Vision and Pattern Recognition · Computer Science 2023-08-09 Sheng-Yu Wang , Alexei A. Efros , Jun-Yan Zhu , Richard Zhang

Example-guided image synthesis aims to synthesize an image from a semantic label map and an exemplary image indicating style. We use the term "style" in this problem to refer to implicit characteristics of images, for example: in portraits…

Computer Vision and Pattern Recognition · Computer Science 2019-07-01 Miao Wang , Guo-Ye Yang , Ruilong Li , Run-Ze Liang , Song-Hai Zhang , Peter. M. Hall , Shi-Min Hu

Procedural textures are normally generated from mathematical models with parameters carefully selected by experienced users. However, for naive users, the intuitive way to obtain a desired texture is to provide semantic descriptions such as…

Computer Vision and Pattern Recognition · Computer Science 2017-04-14 Junyu Dong , Lina Wang , Jun Liu , Xin Sun

Style-guided texture generation aims to generate a texture that is harmonious with both the style of the reference image and the geometry of the input mesh, given a reference style image and a 3D mesh with its text description. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-11-04 Zhiyu Xie , Yuqing Zhang , Xiangjun Tang , Yiqian Wu , Dehan Chen , Gongsheng Li , Xaogang Jin

Texture recognition is one of the most important tasks in computer vision and, despite the recent success of learning-based approaches, there is still need for model-based solutions. This is especially the case when the amount of data…

Computer Vision and Pattern Recognition · Computer Science 2020-07-16 Joao Florindo , Konradin Metze

In the realm of diverse high-dimensional data, images play a significant role across various processes of manufacturing systems where efficient image anomaly detection has emerged as a core technology of utmost importance. However, when…

Computer Vision and Pattern Recognition · Computer Science 2025-12-24 Ji Song , Xing Wang , Jianguo Wu , Xiaowei Yue

We propose a neural rendering-based system that creates head avatars from a single photograph. Our approach models a person's appearance by decomposing it into two layers. The first layer is a pose-dependent coarse image that is synthesized…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Egor Zakharov , Aleksei Ivakhnenko , Aliaksandra Shysheya , Victor Lempitsky

Language-guided image editing has achieved great success recently. In this paper, for the first time, we investigate exemplar-guided image editing for more precise control. We achieve this goal by leveraging self-supervised training to…

Computer Vision and Pattern Recognition · Computer Science 2022-11-24 Binxin Yang , Shuyang Gu , Bo Zhang , Ting Zhang , Xuejin Chen , Xiaoyan Sun , Dong Chen , Fang Wen

With the rapid development of social network and multimedia technology, customized image and video stylization has been widely used for various social-media applications. In this paper, we explore the problem of exemplar-based photo style…

Computer Vision and Pattern Recognition · Computer Science 2016-07-18 Jiaying Liu , Wenhan Yang , Xiaoyan Sun , Wenjun Zeng

Mathematical modeling of visual textures traces back to Julesz's intuition that texture perception in humans is based on local correlations between image features. An influential approach for texture analysis and generation generalizes this…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Ludovica de Paolis , Fabio Anselmi , Alessio Ansuini , Eugenio Piasini