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We propose a method for generating video-realistic animations of real humans under user control. In contrast to conventional human character rendering, we do not require the availability of a production-quality photo-realistic 3D model of…

Computer Vision and Pattern Recognition · Computer Science 2019-05-13 Lingjie Liu , Weipeng Xu , Michael Zollhoefer , Hyeongwoo Kim , Florian Bernard , Marc Habermann , Wenping Wang , Christian Theobalt

Animation of humanoid characters is essential in various graphics applications, but requires significant time and cost to create realistic animations. We propose an approach to synthesize 4D animated sequences of input static 3D humanoid…

Graphics · Computer Science 2025-03-21 Marc Benedí San Millán , Angela Dai , Matthias Nießner

Real-time animation of virtual characters has traditionally been accomplished by playing short sequences of animations structured in the form of a graph. These methods are time-consuming to set up and scale poorly with the number of motions…

Graphics · Computer Science 2023-10-10 Jose Luis Ponton

With the increasing demand for real-time animated 3D content in the entertainment industry and beyond, performance-based animation has garnered interest among both academic and industrial communities. While recent solutions for…

Graphics · Computer Science 2020-08-05 Eloïse Berson , Catherine Soladié , Nicolas Stoiber

We present a new pose transfer method for synthesizing a human animation from a single image of a person controlled by a sequence of body poses. Existing pose transfer methods exhibit significant visual artifacts when applying to a novel…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Jae Shin Yoon , Lingjie Liu , Vladislav Golyanik , Kripasindhu Sarkar , Hyun Soo Park , Christian Theobalt

In this paper, we present a diffusion model-based framework for animating people from a single image for a given target 3D motion sequence. Our approach has two core components: a) learning priors about invisible parts of the human body and…

Computer Vision and Pattern Recognition · Computer Science 2024-12-23 Boyi Li , Junming Chen , Jathushan Rajasegaran , Yossi Gandelsman , Alexei A. Efros , Jitendra Malik

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

Here we present a parametric model for dynamic textures. The model is based on spatiotemporal summary statistics computed from the feature representations of a Convolutional Neural Network (CNN) trained on object recognition. We demonstrate…

Computer Vision and Pattern Recognition · Computer Science 2017-02-24 Christina M. Funke , Leon A. Gatys , Alexander S. Ecker , Matthias Bethge

Human motion synthesis is an important problem with applications in graphics, gaming and simulation environments for robotics. Existing methods require accurate motion capture data for training, which is costly to obtain. Instead, we…

Computer Vision and Pattern Recognition · Computer Science 2022-08-15 Kevin Xie , Tingwu Wang , Umar Iqbal , Yunrong Guo , Sanja Fidler , Florian Shkurti

Conventional methods for human motion synthesis are either deterministic or struggle with the trade-off between motion diversity and motion quality. In response to these limitations, we introduce MoFusion, i.e., a new…

Computer Vision and Pattern Recognition · Computer Science 2023-05-16 Rishabh Dabral , Muhammad Hamza Mughal , Vladislav Golyanik , Christian Theobalt

Real-time character animation in dynamic environments requires the generation of plausible upper-body movements regardless of the nature of the environment, including non-rigid obstacles such as vegetation. We propose a flexible model for…

Graphics · Computer Science 2022-09-22 Eduardo Alvarado , Damien Rohmer , Marie-Paule Cani

Character Animation aims to generating character videos from still images through driving signals. Currently, diffusion models have become the mainstream in visual generation research, owing to their robust generative capabilities. However,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-14 Li Hu , Xin Gao , Peng Zhang , Ke Sun , Bang Zhang , Liefeng Bo

In this paper, we address the challenge of generating realistic 3D human motions for action classes that were never seen during the training phase. Our approach involves decomposing complex actions into simpler movements, specifically those…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Lorenzo Mandelli , Stefano Berretti

Controlling the manner in which a character moves in a real-time animation system is a challenging task with useful applications. Existing style transfer systems require access to a reference content motion clip, however, in real-time…

Graphics · Computer Science 2022-01-13 Ian Mason , Sebastian Starke , Taku Komura

Real-time synthesis of physically plausible human interactions remains a critical challenge for immersive VR/AR systems and humanoid robotics. While existing methods demonstrate progress in kinematic motion generation, they often fail to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Kaiyang Ji , Ye Shi , Zichen Jin , Kangyi Chen , Lan Xu , Yuexin Ma , Jingyi Yu , Jingya Wang

We introduce a novel method for real-time animation control and generation on rigged models using natural language input. First, we embed a large language model (LLM) in Unity to output structured texts that can be parsed into diverse and…

This work addresses the problem of real-time rendering of photorealistic human body avatars learned from multi-view videos. While the classical approaches to model and render virtual humans generally use a textured mesh, recent research has…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Arthur Moreau , Jifei Song , Helisa Dhamo , Richard Shaw , Yiren Zhou , Eduardo Pérez-Pellitero

This paper discusses a fuzzy model for multi-level human emotions recognition by computer systems through keyboard keystrokes, mouse and touchscreen interactions. This model can also be used to detect the other possible emotions at the time…

Artificial Intelligence · Computer Science 2014-08-05 Kaveh Bakhtiyari , Hafizah Husain

Rehabilitation robotics combined with video game technology provides a means of assisting in the rehabilitation of patients with neuromuscular disorders by performing various facilitation movements. The current work presents ReHabGame, a…

Human-Computer Interaction · Computer Science 2018-04-30 Shabnam Sadeghi Esfahlani , Silvia Cirstea , Alireza Sanaei , George Wilson

Styled motion in-betweening is crucial for computer animation and gaming. However, existing methods typically encode motion styles by modeling whole-body motions, often overlooking the representation of individual body parts. This…

Computer Vision and Pattern Recognition · Computer Science 2025-08-14 Minyue Dai , Ke Fan , Bin Ji , Haoran Xu , Haoyu Zhao , Junting Dong , Jingbo Wang , Bo Dai
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