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Visual correspondence is a fundamental building block on the way to building assistive tools for hand-drawn animation. However, while a large body of work has focused on learning visual correspondences at the pixel-level, few approaches…

Computer Vision and Pattern Recognition · Computer Science 2021-09-09 Evan Casey , Víctor Pérez , Zhuoru Li , Harry Teitelman , Nick Boyajian , Tim Pulver , Mike Manh , William Grisaitis

Automatic colorization of anime line drawing has attracted much attention in recent years since it can substantially benefit the animation industry. User-hint based methods are the mainstream approach for line drawing colorization, while…

Computer Vision and Pattern Recognition · Computer Science 2023-02-27 Yu Cao , Hao Tian , P. Y. Mok

Illustration is a fundamental mode of human expression and communication. Certain types of motion that accompany speech can provide this illustrative mode of communication. While Augmented and Virtual Reality technologies (AR/VR) have…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Hui Xian Grace Lim , Xuanming Cui , Yogesh S Rawat , Ser-Nam Lim

Humans can intuitively decompose an image into a sequence of strokes to create a painting, yet existing methods for generating drawing processes are limited to specific data types and often rely on expensive human-annotated datasets. We…

Computer Vision and Pattern Recognition · Computer Science 2025-03-24 Junjie Hu , Shuyong Gao , Qianyu Guo , Yan Wang , Qishan Wang , Yuang Feng , Wenqiang Zhang

We introduce the concept of notational animating, an interaction paradigm for animation authoring where users sketch high-level notations over static drawings to indicate intended motions, which are then interpreted by automatic methods…

Human-Computer Interaction · Computer Science 2026-03-10 Xinyu Shi , Li-Yi Wei , Nanxuan Zhao , Jian Zhao , Rubaiat Habib Kazi

We present a unified controllable video generation approach AnimateAnything that facilitates precise and consistent video manipulation across various conditions, including camera trajectories, text prompts, and user motion annotations.…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Guojun Lei , Chi Wang , Hong Li , Rong Zhang , Yikai Wang , Weiwei Xu

Video colour editing is a crucial task for content creation, yet existing solutions either require painstaking frame-by-frame manipulation or produce unrealistic results with temporal artefacts. We present a practical, training-free…

Computer Vision and Pattern Recognition · Computer Science 2024-12-09 Chaitat Utintu , Pinaki Nath Chowdhury , Aneeshan Sain , Subhadeep Koley , Ayan Kumar Bhunia , Yi-Zhe Song

Recent advances in 4D generation mainly focus on generating 4D content by distilling pre-trained text or single-view image-conditioned models. It is inconvenient for them to take advantage of various off-the-shelf 3D assets with multi-view…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Yanqin Jiang , Chaohui Yu , Chenjie Cao , Fan Wang , Weiming Hu , Jin Gao

One way illustrators engage in disciplined drawing - the process of drawing to improve technical skills - is through studying and replicating reference images. However, for many novice and intermediate digital artists, knowing how to…

Human-Computer Interaction · Computer Science 2025-09-23 Jiaju Ma , Chau Vu , Asya Lyubavina , Catherine Liu , Jingyi Li

Text-guided human motion generation has drawn significant interest because of its impactful applications spanning animation and robotics. Recently, application of diffusion models for motion generation has enabled improvements in the…

Computer Vision and Pattern Recognition · Computer Science 2023-05-17 Samaneh Azadi , Akbar Shah , Thomas Hayes , Devi Parikh , Sonal Gupta

Text-guided human body animation has advanced rapidly, yet facial animation lags due to the scarcity of well-annotated, text-paired facial corpora. To close this gap, we leverage foundation generative models to synthesize a large, balanced…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Luchuan Song , Pinxin Liu , Haiyang Liu , Zhenchao Jin , Yolo Yunlong Tang , Zichong Xu , Susan Liang , Jing Bi , Jason J Corso , Chenliang Xu

Motion is a salient cue to recognize actions in video. Modern action recognition models leverage motion information either explicitly by using optical flow as input or implicitly by means of 3D convolutional filters that simultaneously…

Computer Vision and Pattern Recognition · Computer Science 2020-05-28 Heng Wang , Du Tran , Lorenzo Torresani , Matt Feiszli

To make an engaging video, people sequence interesting moments and add visuals such as B-rolls or text. While video editing requires time and effort, AI has recently shown strong potential to make editing easier through suggestions and…

Human-Computer Interaction · Computer Science 2025-02-17 Mina Huh , Dingzeyu Li , Kim Pimmel , Hijung Valentina Shin , Amy Pavel , Mira Dontcheva

Sketching is a natural and effective visual communication medium commonly used in creative processes. Recent developments in deep-learning models drastically improved machines' ability in understanding and generating visual content. An…

Human-Computer Interaction · Computer Science 2021-11-22 Forrest Huang , Eldon Schoop , David Ha , Jeffrey Nichols , John Canny

Accurately drawing 3D objects is difficult for untrained individuals, as it requires an understanding of perspective and its effects on geometry and proportions. Step-by-step tutorials break the complex task of sketching an entire object…

Graphics · Computer Science 2016-07-28 James W. Hennessey , Han Liu , Holger Winnemöller , Mira Dontcheva , Niloy J. Mitra

Tutorial videos of mobile apps have become a popular and compelling way for users to learn unfamiliar app features. To make the video accessible to the users, video creators always need to annotate the actions in the video, including what…

Human-Computer Interaction · Computer Science 2023-08-08 Sidong Feng , Chunyang Chen , Zhenchang Xing

Animating stylized avatars with dynamic poses and expressions has attracted increasing attention for its broad range of applications. Previous research has made significant progress by training controllable generative models to synthesize…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Ken Chen , Sachith Seneviratne , Wei Wang , Dongting Hu , Sanjay Saha , Md. Tarek Hasan , Sanka Rasnayaka , Tamasha Malepathirana , Mingming Gong , Saman Halgamuge

"How can we animate 3D-characters from a movie script or move robots by simply telling them what we would like them to do?" "How unstructured and complex can we make a sentence and still generate plausible movements from it?" These are…

Computer Vision and Pattern Recognition · Computer Science 2023-01-24 Anindita Ghosh , Noshaba Cheema , Cennet Oguz , Christian Theobalt , Philipp Slusallek

Recent video generation models have achieved remarkable progress and are now deployed in film, social media production, and advertising. Beyond their creative potential, such models also hold promise as world simulators for robotics and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 David Romero , Ariana Bermudez , Viacheslav Iablochnikov , Hao Li , Fabio Pizzati , Ivan Laptev

Robot animation is a new form of character animation that extends the traditional process by allowing the animated motion to become more interactive and adaptable during interaction with users in real-world settings. This paper reviews how…

Robotics · Computer Science 2019-06-04 Tiago Ribeiro , Ana Paiva
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