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Human motion stylization aims to revise the style of an input motion while keeping its content unaltered. Unlike existing works that operate directly in pose space, we leverage the latent space of pretrained autoencoders as a more…

Computer Vision and Pattern Recognition · Computer Science 2024-02-27 Chuan Guo , Yuxuan Mu , Xinxin Zuo , Peng Dai , Youliang Yan , Juwei Lu , Li Cheng

The rise of non-linear and interactive media such as video games has increased the need for automatic movement animation generation. In this survey, we review and analyze different aspects of building automatic movement generation systems…

Machine Learning · Computer Science 2019-03-21 Omid Alemi , Philippe Pasquier

Photorealistic style transfer is the task of transferring the artistic style of an image onto a content target, producing a result that is plausibly taken with a camera. Recent approaches, based on deep neural networks, produce impressive…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Xide Xia , Meng Zhang , Tianfan Xue , Zheng Sun , Hui Fang , Brian Kulis , Jiawen Chen

The ability to synthesize style and content of different images to form a visually coherent image holds great promise in various applications such as stylistic painting, design prototyping, image editing, and augmented reality. However, the…

Computer Vision and Pattern Recognition · Computer Science 2019-12-16 Zhifeng Yu , Yusheng Wu , Tianyou Wang

Many advancements have been made in procedural content generation for games, and with mixed-initiative co-creativity, have the potential for great benefits to human designers. However, co-creative systems for game generation are typically…

Artificial Intelligence · Computer Science 2023-08-07 Rohan Agarwal , Zhiyu Lin , Mark Riedl

Style transfer aims to combine the content of one image with the artistic style of another. It was discovered that lower levels of convolutional networks captured style information, while higher levels captures content information. The…

Computer Vision and Pattern Recognition · Computer Science 2019-11-19 Michael Maring , Kaustav Chakraborty

Art is a variety of human activities that include the production of visual, auditory, or performing objects that express the creativity, creative concepts, or technological abilities of the artist, intended primarily for their beauty or…

Computers and Society · Computer Science 2021-05-17 Amogh G. Warkhandkar , Omkar B. Bhambure

Style transfer aims to render the style of a given image for style reference to another given image for content reference, and has been widely adopted in artistic generation and image editing. Existing approaches either apply the holistic…

Computer Vision and Pattern Recognition · Computer Science 2023-04-21 Songhua Liu , Jingwen Ye , Xinchao Wang

How can we edit or transform the geometric or color property of a point cloud? In this study, we propose a neural style transfer method for point clouds which allows us to transfer the style of geometry or color from one point cloud either…

Computer Vision and Pattern Recognition · Computer Science 2019-03-15 Xu Cao , Weimin Wang , Katashi Nagao

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…

Graphics · Computer Science 2017-02-09 Eric Risser , Pierre Wilmot , Connelly Barnes

We present interactive painting processes in which a painter and various neural style transfer algorithms interact on a real canvas. Understanding what these algorithms' outputs achieve is then paramount to describe the creative agency in…

Human-Computer Interaction · Computer Science 2020-03-17 Thomas Kerdreux , Louis Thiry , Erwan Kerdreux

This paper creates a novel method of deep neural style transfer by generating style images from freeform user text input. The language model and style transfer model form a seamless pipeline that can create output images with similar losses…

Computer Vision and Pattern Recognition · Computer Science 2022-12-15 Tejas Santanam , Mengyang Liu , Jiangyue Yu , Zhaodong Yang

In this paper, we present a Neural Preset technique to address the limitations of existing color style transfer methods, including visual artifacts, vast memory requirement, and slow style switching speed. Our method is based on two core…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Zhanghan Ke , Yuhao Liu , Lei Zhu , Nanxuan Zhao , Rynson W. H. Lau

Clothing virtual characters is a time-consuming and often manual process. Outfits can be composed of multiple garments, and each garment must be fitted to the unique shape of a character. Since characters can vary widely in size and shape,…

Graphics · Computer Science 2025-04-25 Jonathan Leaf , David Sebastian Minor , Gilles Daviet , Nuttapong Chentanez , Greg Klar , Ed Quigley

The advancement of the Artificial Intelligence (AI) technologies makes it possible to learn stylistic design criteria from existing maps or other visual art and transfer these styles to make new digital maps. In this paper, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Yuhao Kang , Song Gao , Robert E. Roth

Real-time character control is an essential component for interactive experiences, with a broad range of applications, including physics simulations, video games, and virtual reality. The success of diffusion models for image synthesis has…

Computer Vision and Pattern Recognition · Computer Science 2024-08-19 Yi Shi , Jingbo Wang , Xuekun Jiang , Bingkun Lin , Bo Dai , Xue Bin Peng

We consider the problem of modifying/replacing the shape style of a real moving character with those of an arbitrary static real source character. Traditional solutions follow a pose transfer strategy, from the moving character to the…

Computer Vision and Pattern Recognition · Computer Science 2021-09-06 Joao Regateiro , Edmond Boyer

With the rapid advancement of game and film production, generating interactive motion from texts has garnered significant attention due to its potential to revolutionize content creation processes. In many practical applications, there is a…

Robotics · Computer Science 2025-02-18 Runqi Wang , Caoyuan Ma , Jian Zhao , Hanrui Xu , Dongfang Sun , Haoyang Chen , Lin Xiong , Zheng Wang , Xuelong Li

Text style transfer refers to the task of rephrasing a given text in a different style. While various methods have been proposed to advance the state of the art, they often assume the transfer output follows a delta distribution, and thus…

Computation and Language · Computer Science 2020-02-18 Kevin Lin , Ming-Yu Liu , Ming-Ting Sun , Jan Kautz

Numerous valuable efforts have been devoted to achieving arbitrary style transfer since the seminal work of Gatys et al. However, existing state-of-the-art approaches often generate insufficiently stylized results under challenging cases.…

Computer Vision and Pattern Recognition · Computer Science 2019-10-30 Chunjin Song , Zhijie Wu , Yang Zhou , Minglun Gong , Hui Huang