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This paper proposes an algorithm that turns a regular video capturing urban scenes into a high-quality endless animation, known as a Cinemagraph. The creation of a Cinemagraph usually requires a static camera in a carefully configured…

Computer Vision and Pattern Recognition · Computer Science 2016-12-06 Hang Yan , Yebin Liu , Yasutaka Furukawa

The task of scene graph generation entails identifying object entities and their corresponding interaction predicates in a given image (or video). Due to the combinatorially large solution space, existing approaches to scene graph…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Siddhesh Khandelwal , Leonid Sigal

Domain adaptation and generative modelling have collectively mitigated the expensive nature of data collection and labelling by leveraging the rich abundance of accurate, labelled data in simulation environments. In this work, we study the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-10 Gil Avraham , Yan Zuo , Tom Drummond

This paper proposes a new optimal control synthesis algorithm for multi-robot systems under global temporal logic tasks. Existing planning approaches under global temporal goals rely on graph search techniques applied to a product automaton…

Robotics · Computer Science 2018-06-21 Yiannis Kantaros , Michael M. Zavlanos

Scene text synthesis involves rendering specified texts onto arbitrary images. Current methods typically formulate this task in an end-to-end manner but lack effective character-level guidance during training. Besides, their text encoders,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Yibin Wang , Weizhong Zhang , Honghui Xu , Cheng Jin

Visual storytelling aims to generate a narrative paragraph from a sequence of images automatically. Existing approaches construct text description independently for each image and roughly concatenate them as a story, which leads to the…

Computation and Language · Computer Science 2020-11-02 Ruize Wang , Zhongyu Wei , Ying Cheng , Piji Li , Haijun Shan , Ji Zhang , Qi Zhang , Xuanjing Huang

To solve a text-based game, an agent needs to formulate valid text commands for a given context and find the ones that lead to success. Recent attempts at solving text-based games with deep reinforcement learning have focused on the latter,…

Machine Learning · Computer Science 2018-12-04 Ruo Yu Tao , Marc-Alexandre Côté , Xingdi Yuan , Layla El Asri

Virtual character animation and movement synthesis have advanced rapidly during recent years, especially through a combination of extensive motion capture datasets and machine learning. A remaining challenge is interactively simulating…

The procedural generation of levels and content in video games is a challenging AI problem. Often such generation relies on an intelligent way of evaluating the content being generated so that constraints are satisfied and/or objectives…

Artificial Intelligence · Computer Science 2019-04-22 Ahmed Khalifa , Michael Cerny Green , Gabriella Barros , Julian Togelius

Producing realistic character animations is one of the essential tasks in human-AI interactions. Considered as a sequence of poses of a humanoid, the task can be considered as a sequence generation problem with spatiotemporal smoothness and…

Computer Vision and Pattern Recognition · Computer Science 2020-05-26 Maryam Sadat Mirzaei , Kourosh Meshgi , Etienne Frigo , Toyoaki Nishida

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

Amid the surge in generic text-to-video generation, the field of personalized human video generation has witnessed notable advancements, primarily concentrated on single-person scenarios. However, to our knowledge, the domain of two-person…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Jiancheng Huang , Mingfu Yan , Songyan Chen , Yi Huang , Shifeng Chen

Dynamic texture synthesis aims to generate sequences that are visually similar to a reference video texture and exhibit specific stationary properties in time. In this paper, we introduce a spatiotemporal generative adversarial network…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Xiangtian Li , Xiaobo Wang , Zhen Qi , Han Cao , Zhaoyang Zhang , Ao Xiang

Dynamic reconstruction has achieved remarkable progress, but there remain challenges in monocular input for more practical applications. The prevailing works attempt to construct efficient motion representations, but lack a unified…

Computer Vision and Pattern Recognition · Computer Science 2026-02-13 Qisen Wang , Yifan Zhao , Jia Li

A vital task of the wider digital human effort is the creation of realistic garments on digital avatars, both in the form of characteristic fold patterns and wrinkles in static frames as well as richness of garment dynamics under avatars'…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Meng Zhang , Duygu Ceylan , Tuanfeng Wang , Niloy J. Mitra

Creating realistic characters that can react to the users' or another character's movement can benefit computer graphics, games and virtual reality hugely. However, synthesizing such reactive motions in human-human interactions is a…

Graphics · Computer Science 2021-10-04 Qianhui Men , Hubert P. H. Shum , Edmond S. L. Ho , Howard Leung

Protecting against adversarial attacks is a common multiagent problem. Attackers in the real world are predominantly human actors, and the protection methods often incorporate opponent models to improve the performance when facing humans.…

Artificial Intelligence · Computer Science 2023-11-29 David Milec , Viliam Lisý , Christopher Kiekintveld

We present PACE, a novel method for modifying motion-captured virtual agents to interact with and move throughout dense, cluttered 3D scenes. Our approach changes a given motion sequence of a virtual agent as needed to adjust to the…

Computer Vision and Pattern Recognition · Computer Science 2024-04-16 James Mullen , Dinesh Manocha

Generating videos for visual storytelling can be a tedious and complex process that typically requires either live-action filming or graphics animation rendering. To bypass these challenges, our key idea is to utilize the abundance of…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Yingqing He , Menghan Xia , Haoxin Chen , Xiaodong Cun , Yuan Gong , Jinbo Xing , Yong Zhang , Xintao Wang , Chao Weng , Ying Shan , Qifeng Chen

Empirical game-theoretic analysis (EGTA) is a general framework for reasoning about complex games using agent-based simulation. Data from simulating select strategy profiles is employed to estimate a cogent and tractable game model…

Computer Science and Game Theory · Computer Science 2023-02-06 Christine Konicki , Mithun Chakraborty , Michael P. Wellman