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Animating metaphoric visualizations brings data to life, enhancing the comprehension of abstract data encodings and fostering deeper engagement. However, creators face significant challenges in designing these animations, such as crafting…

Human-Computer Interaction · Computer Science 2026-04-28 Liwenhan Xie , Jiayi Zhou , Anyi Rao , Huamin Qu , Xinhuan Shu

In the animation industry, cartoon videos are usually produced at low frame rate since hand drawing of such frames is costly and time-consuming. Therefore, it is desirable to develop computational models that can automatically interpolate…

Computer Vision and Pattern Recognition · Computer Science 2021-04-07 Li Siyao , Shiyu Zhao , Weijiang Yu , Wenxiu Sun , Dimitris N. Metaxas , Chen Change Loy , Ziwei Liu

In real-world usage, existing GAN image generation tools come up short due to their lack of intuitive interfaces and limited flexibility. To overcome these limitations, we developed CanvasPic, an innovative tool for flexible GAN image…

Human-Computer Interaction · Computer Science 2024-04-17 Jiafu Wei , Chia-Ming Chang , Xi Yang , Takeo Igarashi

Activity diagrams (ADs) have recently become widely used in the modeling of workflows, business processes, and web-services, where they serve various purposes, from documentation, requirement definitions, and test case specifications, to…

Software Engineering · Computer Science 2014-09-09 Shahar Maoz , Jan Oliver Ringert , Bernhard Rumpe

Animated transitions help viewers understand changes between related visualizations. To clearly present the underlying relations between statistical charts, animation authors need to have a high level of expertise and a considerable amount…

Human-Computer Interaction · Computer Science 2022-10-12 Wenchao Li , Yun Wang , He Huang , Weiwei Cui , Haidong Zhang , Huamin Qu , Dongmei Zhang

This paper presents a novel approach for exploring diverse and expressive motions that are physically correct and interactive. The approach combining user participation in with the animation development process using crowdsourcing to remove…

Human-Computer Interaction · Computer Science 2022-07-01 Benjamin Kenwright

Diffusion models, as a type of generative model, have achieved impressive results in generating images and videos conditioned on textual conditions. However, the generation process of diffusion models involves denoising dozens of steps to…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Hui Zhang , Zuxuan Wu , Zhen Xing , Jie Shao , Yu-Gang Jiang

Diffusion models have made tremendous progress in text-driven image and video generation. Now text-to-image foundation models are widely applied to various downstream image synthesis tasks, such as controllable image generation and image…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Fengyuan Shi , Jiaxi Gu , Hang Xu , Songcen Xu , Wei Zhang , Limin Wang

Generating video from various conditions, such as text, image, and audio, enables both spatial and temporal control, leading to high-quality generation results. Videos with dramatic motions often require a higher frame rate to ensure smooth…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Xingrui Wang , Jiang Liu , Ze Wang , Xiaodong Yu , Jialian Wu , Ximeng Sun , Yusheng Su , Alan Yuille , Zicheng Liu , Emad Barsoum

Motions of virtual characters in movies or video games are typically generated by recording actors using motion capturing methods. Animations generated this way often need postprocessing, such as improving the periodicity of cyclic…

Computer Vision and Pattern Recognition · Computer Science 2015-02-27 Martin Bauer , Markus Eslitzbichler , Markus Grasmair

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

One major challenge in machine learning applications is coping with mismatches between the datasets used in the development and those obtained in real-world applications. These mismatches may lead to inaccurate predictions and errors,…

Machine Learning · Statistics 2023-09-01 Keisuke Kawano , Takuro Kutsuna , Ryoko Tokuhisa , Akihiro Nakamura , Yasushi Esaki

Design tools in the 3D industry, while powerful, are still tedious and labor-intensive when it comes to bringing a creative idea for a visual effect to life. In this position paper, we discussed how an infamous generative synthetic media,…

Human-Computer Interaction · Computer Science 2022-04-28 Julius Girbig , Changkun Ou , Sylvia Rothe

3D sketches are widely used for visually representing the 3D shape and structure of objects or scenes. However, the creation of 3D sketch often requires users to possess professional artistic skills. Existing research efforts primarily…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Yibo Zhang , Lihong Wang , Changqing Zou , Tieru Wu , Rui Ma

Previous 3D human creation methods have made significant progress in synthesizing view-consistent and temporally aligned results from sparse-view images or monocular videos. However, it remains challenging to produce perpetually realistic,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Shoukang Hu , Takuya Narihira , Kazumi Fukuda , Ryosuke Sawata , Takashi Shibuya , Yuki Mitsufuji

Creating 2D animations is a complex, iterative process requiring continuous adjustments to movement, timing, and coordination of multiple elements within a scene. To support designers of varying levels of experience with animation design…

Human-Computer Interaction · Computer Science 2025-08-14 Tiffany Tseng , Ruijia Cheng , Jeffrey Nichols

Recent advances in 3D scene reconstruction and 4D human animation have broadened adoption, but integrating the two remains difficult. Key challenges include placing humans at plausible locations and scales without interpenetration, aligning…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Qingyang Liu , Bingjie Gao , Weiheng Huang , Jun Zhang , Zhongqian Sun , Yang Wei , Fengrui Liu , Zelin Peng , Qianli Ma , Shuai Yang , Zhaohe Liao , Haonan Zhao , Li Niu

Generating coherent and useful image/video scenes from a free-form textual description is technically a very difficult problem to handle. Textual description of the same scene can vary greatly from person to person, or sometimes even for…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Faria Huq , Nafees Ahmed , Anindya Iqbal

Accurate camera calibration is a fundamental task for 3D perception, especially when dealing with real-world, in-the-wild environments where complex optical distortions are common. Existing methods often rely on pre-rectified images or…

Computer Vision and Pattern Recognition · Computer Science 2025-03-28 Liuyue Xie , Jiancong Guo , Ozan Cakmakci , Andre Araujo , Laszlo A. Jeni , Zhiheng Jia

Creating and animating 3D biped cartoon characters is crucial and valuable in various applications. Compared with geometry, the diverse texture design plays an important role in making 3D biped cartoon characters vivid and charming.…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Junshu Tang , Yanhong Zeng , Ke Fan , Xuheng Wang , Bo Dai , Kai Chen , Lizhuang Ma