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Related papers: By-Example Synthesis of Vector Textures

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Existing unconditional generative models mainly focus on modeling general objects, such as faces and indoor scenes. Fashion textures, another important type of visual elements around us, have not been extensively studied. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2019-11-19 Wu Shi , Tak-Wai Hui , Ziwei Liu , Dahua Lin , Chen Change Loy

In this paper, we investigate deep image synthesis guided by sketch, color, and texture. Previous image synthesis methods can be controlled by sketch and color strokes but we are the first to examine texture control. We allow a user to…

Computer Vision and Pattern Recognition · Computer Science 2018-04-17 Wenqi Xian , Patsorn Sangkloy , Varun Agrawal , Amit Raj , Jingwan Lu , Chen Fang , Fisher Yu , James Hays

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

Texture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in handling 2D image textures. In contrast, many real-world textures contain meso-structure in the 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Yi-Hua Huang , Yan-Pei Cao , Yu-Kun Lai , Ying Shan , Lin Gao

Novel photo-realistic texture synthesis is an important task for generating novel scenes, including asset generation for 3D simulations. However, to date, these methods predominantly generate textured objects in 2D space. If we rely on 2D…

Computer Vision and Pattern Recognition · Computer Science 2023-02-09 Dharma KC , Clayton T. Morrison , Bradley Walls

We present a novel diffusion-based framework for synthesizing 2D vector fields from sparse, coherent inputs (i.e., streamlines) while maintaining physical plausibility. Our method employs a conditional denoising diffusion probabilistic…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Nguyen K. Phan , Ricardo Morales , Sebastian D. Espriella , Guoning Chen

In this paper, we tackle one-shot texture retrieval: given an example of a new reference texture, detect and segment all the pixels of the same texture category within an arbitrary image. To address this problem, we present an OS-TR network…

Computer Vision and Pattern Recognition · Computer Science 2020-04-14 Kai Zhu , Wei Zhai , Zheng-Jun Zha , Yang Cao

We tackle the problem of texture synthesis in the setting where many input images are given and a large-scale output is required. We build on recent generative adversarial networks and propose two extensions in this paper. First, we propose…

Graphics · Computer Science 2019-04-30 Anna Frühstück , Ibraheem Alhashim , Peter Wonka

Recent advances in generative modeling have driven significant progress in text-guided texture synthesis. However, current methods focus on synthesizing texture for single static 3D object, and struggle to handle entire families of shapes,…

Graphics · Computer Science 2025-10-07 Ruiqi Xu , Zihan Zhu , Ben Ahlbrand , Srinath Sridhar , Daniel Ritchie

This paper addresses the problem of interpolating visual textures. We formulate this problem by requiring (1) by-example controllability and (2) realistic and smooth interpolation among an arbitrary number of texture samples. To solve it we…

Computer Vision and Pattern Recognition · Computer Science 2019-04-17 Ning Yu , Connelly Barnes , Eli Shechtman , Sohrab Amirghodsi , Michal Lukac

Texture plays a vital role in enhancing visual richness in both real photographs and computer-generated imagery. However, the process of editing textures often involves laborious and repetitive manual adjustments of textons, which are the…

Graphics · Computer Science 2024-09-24 Peihan Tu , Li-Yi Wei , Matthias Zwicker

The real world exhibits an abundance of non-stationary textures. Examples include textures with large-scale structures, as well as spatially variant and inhomogeneous textures. While existing example-based texture synthesis methods can cope…

Graphics · Computer Science 2024-01-08 Yang Zhou , Zhen Zhu , Xiang Bai , Dani Lischinski , Daniel Cohen-Or , Hui Huang

We demonstrate that pre-trained text-to-image diffusion models, despite being trained on raster images, possess a remarkable capacity to guide vector sketch synthesis. In this paper, we introduce DiffSketcher, a novel algorithm for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Ximing Xing , Chuang Wang , Haitao Zhou , Jing Zhang , Qian Yu , Dong Xu

Solid texture synthesis (STS), an effective way to extend a 2D exemplar to a 3D solid volume, exhibits advantages in computational photography. However, existing methods generally fail to accurately learn arbitrary textures, which may…

Computer Vision and Pattern Recognition · Computer Science 2023-08-17 Xin Zhao , Jifeng Guo , Lin Wang , Fanqi Li , Jiahao Li , Junteng Zheng , Bo Yang

Generative adversarial networks (GANs) are a recent approach to train generative models of data, which have been shown to work particularly well on image data. In the current paper we introduce a new model for texture synthesis based on GAN…

Computer Vision and Pattern Recognition · Computer Science 2017-09-11 Nikolay Jetchev , Urs Bergmann , Roland Vollgraf

This paper presents an efficient method for texture retrieval using multiscale feature extraction and embedding based on the local extrema keypoints. The idea is to first represent each texture image by its local maximum and local minimum…

Computer Vision and Pattern Recognition · Computer Science 2018-08-06 Minh-Tan Pham

Image and texture synthesis is a challenging task that has long been drawing attention in the fields of image processing, graphics, and machine learning. This problem consists of modelling the desired type of images, either through training…

Computer Vision and Pattern Recognition · Computer Science 2016-09-26 Yi Ren , Yaniv Romano , Michael Elad

Design prototyping involves creating mockups of products or concepts to gather feedback and iterate on ideas. While prototyping often requires specific parts of objects, such as when constructing a novel creature for a video game, existing…

Computer Vision and Pattern Recognition · Computer Science 2025-04-09 Mo Zhou , Josh Myers-Dean , Danna Gurari

We propose Text2Scene, a method to automatically create realistic textures for virtual scenes composed of multiple objects. Guided by a reference image and text descriptions, our pipeline adds detailed texture on labeled 3D geometries in…

Computer Vision and Pattern Recognition · Computer Science 2023-09-01 Inwoo Hwang , Hyeonwoo Kim , Young Min Kim

Novel contour descriptors, called eigencontours, based on low-rank approximation are proposed in this paper. First, we construct a contour matrix containing all object boundaries in a training set. Second, we decompose the contour matrix…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Wonhui Park , Dongkwon Jin , Chang-Su Kim