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Sculptors often deviate from geometric accuracy in order to enhance the appearance of their sculpture. These subtle stylizations may emphasize anatomy, draw the viewer's focus to characteristic features of the subject, or symbolize textures…

Graphics · Computer Science 2015-02-09 Jan Jachnik , Dan B Goldman , Linjie Luo , Andrew J. Davison

Creating realistic 3D head assets for virtual characters that match a precise artistic vision remains labor-intensive. We present a novel framework that streamlines this process by providing artists with intuitive control over generated 3D…

We present Image Sculpting, a new framework for editing 2D images by incorporating tools from 3D geometry and graphics. This approach differs markedly from existing methods, which are confined to 2D spaces and typically rely on textual…

Graphics · Computer Science 2024-01-04 Jiraphon Yenphraphai , Xichen Pan , Sainan Liu , Daniele Panozzo , Saining Xie

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

Cartoonization is a task that renders natural photos into cartoon styles. Previous deep cartoonization methods only have focused on end-to-end translation, which may hinder editability. Instead, we propose a novel solution with editing…

Computer Vision and Pattern Recognition · Computer Science 2023-03-09 Namhyuk Ahn , Patrick Kwon , Jihye Back , Kibeom Hong , Seungkwon Kim

Neural Style Transfer has shown very exciting results enabling new forms of image manipulation. Here we extend the existing method to introduce control over spatial location, colour information and across spatial scale. We demonstrate how…

Computer Vision and Pattern Recognition · Computer Science 2017-05-12 Leon A. Gatys , Alexander S. Ecker , Matthias Bethge , Aaron Hertzmann , Eli Shechtman

We present TextureDreamer, a novel image-guided texture synthesis method to transfer relightable textures from a small number of input images (3 to 5) to target 3D shapes across arbitrary categories. Texture creation is a pivotal challenge…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Yu-Ying Yeh , Jia-Bin Huang , Changil Kim , Lei Xiao , Thu Nguyen-Phuoc , Numair Khan , Cheng Zhang , Manmohan Chandraker , Carl S Marshall , Zhao Dong , Zhengqin Li

Recent generative models can create visually plausible 3D representations of objects. However, the generation process often allows for implicit control signals, such as contextual descriptions, and rarely supports bold geometric distortions…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Changwoon Choi , Hyunsoo Lee , Clément Jambon , Yael Vinker , Young Min Kim

Artistic styles often embed abstraction beyond surface appearance, involving deliberate reinterpretation of structure rather than mere changes in texture or color. Conventional style transfer methods typically preserve the input geometry…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Min Lu , Yuanfeng He , Anthony Chen , Jianhuang He , Pu Wang , Daniel Cohen-Or , Hui Huang

Neural fields are receiving increased attention as a geometric representation due to their ability to compactly store detailed and smooth shapes and easily undergo topological changes. Compared to classic geometry representations, however,…

Computer Vision and Pattern Recognition · Computer Science 2023-04-26 Arturs Berzins , Moritz Ibing , Leif Kobbelt

Image and shape editing are ubiquitous among digital artworks. Graphics algorithms facilitate artists and designers to achieve desired editing intents without going through manually tedious retouching. In the recent advance of machine…

Graphics · Computer Science 2023-04-20 Cheng-Kang Ted Chao , Yotam Gingold

In this work, we explore the problem of generating fantastic special-effects for the typography. It is quite challenging due to the model diversities to illustrate varied text effects for different characters. To address this issue, our key…

Computer Vision and Pattern Recognition · Computer Science 2016-12-07 Shuai Yang , Jiaying Liu , Zhouhui Lian , Zongming Guo

Recent facial image synthesis methods have been mainly based on conditional generative models. Sketch-based conditions can effectively describe the geometry of faces, including the contours of facial components, hair structures, as well as…

Graphics · Computer Science 2021-07-20 Shu-Yu Chen , Feng-Lin Liu , Yu-Kun Lai , Paul L. Rosin , Chunpeng Li , Hongbo Fu , Lin Gao

Sketch-based image editing aims to synthesize and modify photos based on the structural information provided by the human-drawn sketches. Since sketches are difficult to collect, previous methods mainly use edge maps instead of sketches to…

Computer Vision and Pattern Recognition · Computer Science 2020-01-10 Shuai Yang , Zhangyang Wang , Jiaying Liu , Zongming Guo

Text-to-image diffusion models have made significant progress in image generation, allowing for effortless customized generation. However, existing image editing methods still face certain limitations when dealing with personalized image…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Yuhong Zhang , Han Wang , Yiwen Wang , Rong Xie , Li Song

Recently, text-guided image editing has achieved significant success. However, existing methods can only apply simple textures like wood or gold when changing the texture of an object. Complex textures such as cloud or fire pose a…

Computer Vision and Pattern Recognition · Computer Science 2025-01-15 Zihan Su , Junhao Zhuang , Chun Yuan

In this work we present WIR3D, a technique for abstracting 3D shapes through a sparse set of visually meaningful curves in 3D. We optimize the parameters of Bezier curves such that they faithfully represent both the geometry and salient…

Graphics · Computer Science 2025-08-19 Richard Liu , Daniel Fu , Noah Tan , Itai Lang , Rana Hanocka

Prevailing image representation methods, including explicit representations such as raster images and Gaussian primitives, as well as implicit representations such as latent images, either suffer from representation redundancy that leads to…

Computer Vision and Pattern Recognition · Computer Science 2026-02-03 Ye Chen , Yupeng Zhu , Xiongzhen Zhang , Zhewen Wan , Yingzhe Li , Wenjun Zhang , Bingbing Ni

Our study delves into the fusion of abstract art interpretation and text-to-image synthesis, addressing the challenge of achieving precise spatial control over image composition solely through textual prompts. Leveraging the capabilities of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Rishabh Srivastava , Addrish Roy

Shape and geometric patterns are essential in defining stylistic identity. However, current 3D style transfer methods predominantly focus on transferring colors and textures, often overlooking geometric aspects. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 Hyunyoung Jung , Seonghyeon Nam , Nikolaos Sarafianos , Sungjoo Yoo , Alexander Sorkine-Hornung , Rakesh Ranjan
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