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Despite recent advances in image-to-video generation, better controllability and local animation are less explored. Most existing image-to-video methods are not locally aware and tend to move the entire scene. However, human artists may…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Yue Ma , Yingqing He , Hongfa Wang , Andong Wang , Chenyang Qi , Chengfei Cai , Xiu Li , Zhifeng Li , Heung-Yeung Shum , Wei Liu , Qifeng Chen

In this work, we present Conditional Adversarial Latent Models (CALM), an approach for generating diverse and directable behaviors for user-controlled interactive virtual characters. Using imitation learning, CALM learns a representation of…

Computer Vision and Pattern Recognition · Computer Science 2023-05-04 Chen Tessler , Yoni Kasten , Yunrong Guo , Shie Mannor , Gal Chechik , Xue Bin Peng

Traditional artworks like paintings, photographs, or films can be reproduced by conventional media like printing or video. This makes visitors of museums possible to purchase postcards, posters, books, and DVDs of pictures and/or movies…

Human-Computer Interaction · Computer Science 2014-11-11 Ichiroh Kanaya , Masataka Imura , Mayuko Kanazawa

In e-commerce, content quality of the product catalog plays a key role in delivering a satisfactory experience to the customers. In particular, visual content such as product images influences customers' engagement and purchase decisions.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Abon Chaudhuri , Paolo Messina , Samrat Kokkula , Aditya Subramanian , Abhinandan Krishnan , Shreyansh Gandhi , Alessandro Magnani , Venkatesh Kandaswamy

Recent advancements in video generation have been remarkable, yet many existing methods struggle with issues of consistency and poor text-video alignment. Moreover, the field lacks effective techniques for text-guided video inpainting, a…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Bojia Zi , Shihao Zhao , Xianbiao Qi , Jianan Wang , Yukai Shi , Qianyu Chen , Bin Liang , Kam-Fai Wong , Lei Zhang

We address the task of generating temporally consistent and physically plausible images of actions and object state transformations. Given an input image and a text prompt describing the targeted transformation, our generated images…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Tomáš Souček , Dima Damen , Michael Wray , Ivan Laptev , Josef Sivic

We present visual action prompts, a unified action representation for action-to-video generation of complex high-DoF interactions while maintaining transferable visual dynamics across domains. Action-driven video generation faces a…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Yuang Wang , Chao Wen , Haoyu Guo , Sida Peng , Minghan Qin , Hujun Bao , Xiaowei Zhou , Ruizhen Hu

While significant progress has been made in garment transfer, one of the most applicable directions of human-centric image generation, existing works overlook the in-the-wild imagery, presenting severe garment-person misalignment as well as…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Xin Dong , Fuwei Zhao , Zhenyu Xie , Xijin Zhang , Daniel K. Du , Min Zheng , Xiang Long , Xiaodan Liang , Jianchao Yang

Evolutionary algorithms have been widely studied from a theoretical perspective. In particular, the area of runtime analysis has contributed significantly to a theoretical understanding and provided insights into the working behaviour of…

Neural and Evolutionary Computing · Computer Science 2016-04-22 Aneta Neumann , Bradley Alexander , Frank Neumann

Point masses connected by springs, or mass-spring systems, are widely used in computer animation to approximate the behavior of deformable objects. One of the restrictions imposed by these models is that points that are not topologically…

Graphics · Computer Science 2025-01-29 Zhiyuan Zhang , Krzysztof Grykiel , Zhaocheng Liu , Stefanos Papanicolopulos , Kartic Subr

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

In the early stages of engineering design, it is essential to know how a product behaves, especially how it moves. As designers must keep adjusting the motion until it meets the intended requirements, this process is often repetitive and…

Human-Computer Interaction · Computer Science 2025-10-10 Kalyan Ramana Gattoz , Prasad S. Onkar

Due to the remarkable progress of deep generative models, animating images has become increasingly efficient, whereas associated results have become increasingly realistic. Current animation-approaches commonly exploit structure…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Yaohui Wang , Di Yang , Francois Bremond , Antitza Dantcheva

Toward unlocking the potential of generative models in immersive 4D experiences, we introduce Virtual Pet, a novel pipeline to model realistic and diverse motions for target animal species within a 3D environment. To circumvent the limited…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Yen-Chi Cheng , Chieh Hubert Lin , Chaoyang Wang , Yash Kant , Sergey Tulyakov , Alexander Schwing , Liangyan Gui , Hsin-Ying Lee

We present an efficient spacetime optimization method to automatically generate animations for a general volumetric, elastically deformable body. Our approach can model the interactions between the body and the environment and automatically…

Graphics · Computer Science 2017-09-11 Zherong Pan , Dinesh Manocha

Manipulation actions transform objects from an initial state into a final state. In this paper, we report on the use of object state transitions as a mean for recognizing manipulation actions. Our method is inspired by the intuition that…

Computer Vision and Pattern Recognition · Computer Science 2019-06-13 Nachwa Aboubakr , James L. Crowley , Remi Ronfard

Large-scale text-to-video (T2V) diffusion models have great progress in recent years in terms of visual quality, motion and temporal consistency. However, the generation process is still a black box, where all attributes (e.g., appearance,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Jiwen Yu , Xiaodong Cun , Chenyang Qi , Yong Zhang , Xintao Wang , Ying Shan , Jian Zhang

With growing societal acceptance and increasing cost efficiency due to mass production, service robots are beginning to cross from the industrial to the social domain. Currently, customer service robots tend to be digital and emulate social…

Human-Computer Interaction · Computer Science 2022-06-02 Jordan J. Bird

In order to optimize the costs and time of design of the new products while improving their quality, concurrent engineering is based on the digital model of these products, the numerical model. However, in order to be able to avoid…

Robotics · Computer Science 2007-07-19 Damien Chablat

Markerless motion capture is an active research in 3D virtualization. In proposed work we presented a system for markerless motion capture for 3D human character animation, paper presents a survey on motion and skeleton tracking techniques…

Graphics · Computer Science 2014-02-12 Ashish Shingade , Archana Ghotkar