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相关论文: A Practical Style Transfer Pipeline for 3D Animati…

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Controllable 3D indoor scene synthesis stands at the forefront of technological progress, offering various applications like gaming, film, and augmented/virtual reality. The capability to stylize and de-couple objects within these scenarios…

计算机视觉与模式识别 · 计算机科学 2024-01-25 Yunfan Zhang , Hong Huang , Zhiwei Xiong , Zhiqi Shen , Guosheng Lin , Hao Wang , Nicholas Vun

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…

Artistically controlling fluid simulations requires a large amount of manual work by an artist. The recently presented transportbased neural style transfer approach simplifies workflows as it transfers the style of arbitrary input images…

图形学 · 计算机科学 2020-05-29 Fabienne Christen , Byungsoo Kim , Vinicius C. Azevedo , Barbara Solenthaler

This paper presents a comprehensive pipeline that integrates state-of-the-art techniques to achieve high-quality cartoon style transfer for educational images and videos. The proposed approach combines the Inversion-based Style Transfer…

图形学 · 计算机科学 2025-04-07 Liuxin Yang , Priyanka Ladha

Transferring the style from one image onto another is a popular and widely studied task in computer vision. Yet, style transfer in the 3D setting remains a largely unexplored problem. To our knowledge, we propose the first learning-based…

计算机视觉与模式识别 · 计算机科学 2021-05-19 Mattia Segu , Margarita Grinvald , Roland Siegwart , Federico Tombari

We apply style transfer on mesh reconstructions of indoor scenes. This enables VR applications like experiencing 3D environments painted in the style of a favorite artist. Style transfer typically operates on 2D images, making stylization…

计算机视觉与模式识别 · 计算机科学 2022-03-18 Lukas Höllein , Justin Johnson , Matthias Nießner

We propose a simple yet effective pipeline for stylizing a 3D scene, harnessing the power of 2D image diffusion models. Given a NeRF model reconstructed from a set of multi-view images, we perform 3D style transfer by refining the source…

计算机视觉与模式识别 · 计算机科学 2024-09-05 Haruo Fujiwara , Yusuke Mukuta , Tatsuya Harada

Controllable 3D style transfer seeks to restyle a 3D asset so that its textures match a reference image while preserving the integrity and multi-view consistency. The prevalent methods either rely on direct reference style token injection…

计算机视觉与模式识别 · 计算机科学 2025-10-14 Yuteng Ye , Zheng Zhang , Qinchuan Zhang , Di Wang , Youjia Zhang , Wenxiao Zhang , Wei Yang , Yuan Liu

This paper introduces a model for producing stylized line drawings from 3D shapes. The model takes a 3D shape and a viewpoint as input, and outputs a drawing with textured strokes, with variations in stroke thickness, deformation, and color…

计算机视觉与模式识别 · 计算机科学 2021-10-11 Difan Liu , Matthew Fisher , Aaron Hertzmann , Evangelos Kalogerakis

Motion style transfer is highly desired for motion generation systems for gaming. Compared to its offline counterpart, the research on online motion style transfer under interactive control is limited. In this work, we propose an end-to-end…

图形学 · 计算机科学 2022-03-31 Yingtian Tang , Jiangtao Liu , Cheng Zhou , Tingguang Li

Recently, methods have been proposed that perform texture synthesis and style transfer by using convolutional neural networks (e.g. Gatys et al. [2015,2016]). These methods are exciting because they can in some cases create results with…

图形学 · 计算机科学 2017-02-09 Eric Risser , Pierre Wilmot , Connelly Barnes

We present a flexible illustrative line style model for the visualization of streamline data. Our model partitions view-oriented line strips into parallel bands whose basic visual properties can be controlled independently. We thus extend…

图形学 · 计算机科学 2015-04-20 Maarten H. Everts , Henk Bekker , Jos B. T. M. Roerdink , Tobias Isenberg

2D cameras are often used in interactive systems. Other systems like gaming consoles provide more powerful 3D cameras for short range depth sensing. Overall, these cameras are not reliable in large, complex environments. In this work, we…

计算机视觉与模式识别 · 计算机科学 2025-06-24 Mohamed Benkedadra , Matei Mancas , Sidi Ahmed Mahmoudi

Recent advancements in neural representations, such as Neural Radiance Fields and 3D Gaussian Splatting, have increased interest in applying style transfer to 3D scenes. While existing methods can transfer style patterns onto 3D-consistent…

计算机视觉与模式识别 · 计算机科学 2025-09-05 Jimin Xu , Bosheng Qin , Tao Jin , Zhou Zhao , Zhenhui Ye , Jun Yu , Fei Wu

Transferring appearance to 3D assets using different representations of the appearance object - such as images or text - has garnered interest due to its wide range of applications in industries like gaming, augmented reality, and digital…

计算机视觉与模式识别 · 计算机科学 2025-10-21 Sayan Deb Sarkar , Sinisa Stekovic , Vincent Lepetit , Iro Armeni

Transferring the motion style from one animation clip to another, while preserving the motion content of the latter, has been a long-standing problem in character animation. Most existing data-driven approaches are supervised and rely on…

图形学 · 计算机科学 2020-05-13 Kfir Aberman , Yijia Weng , Dani Lischinski , Daniel Cohen-Or , Baoquan Chen

Manually re-drawing an image in a certain artistic style takes a professional artist a long time. Doing this for a video sequence single-handedly is beyond imagination. We present two computational approaches that transfer the style from…

计算机视觉与模式识别 · 计算机科学 2018-08-07 Manuel Ruder , Alexey Dosovitskiy , Thomas Brox

Artistic style transfer is concerned with the generation of imagery that combines the content of an image with the style of an artwork. In the realm of computer games, most work has focused on post-processing video frames. Some recent work…

计算机视觉与模式识别 · 计算机科学 2025-02-25 Eleftherios Ioannou , Steve Maddock

Artistically controlling the shape, motion and appearance of fluid simulations pose major challenges in visual effects production. In this paper, we present a neural style transfer approach from images to 3D fluids formulated in a…

图形学 · 计算机科学 2020-05-05 Byungsoo Kim , Vinicius C. Azevedo , Markus Gross , Barbara Solenthaler

3D animation is central to modern visual media, yet traditional production pipelines remain labor-intensive, expertise-demanding, and computationally expensive. Recent AIGC-based approaches partially automate asset creation and rigging, but…

计算机视觉与模式识别 · 计算机科学 2025-12-22 Yupeng Zhu , Xiongzhen Zhang , Ye Chen , Bingbing Ni
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