English
Related papers

Related papers: AniFormer: Data-driven 3D Animation with Transform…

200 papers

In this paper, we present DreaMoving, a diffusion-based controllable video generation framework to produce high-quality customized human videos. Specifically, given target identity and posture sequences, DreaMoving can generate a video of…

Computer Vision and Pattern Recognition · Computer Science 2023-12-12 Mengyang Feng , Jinlin Liu , Kai Yu , Yuan Yao , Zheng Hui , Xiefan Guo , Xianhui Lin , Haolan Xue , Chen Shi , Xiaowen Li , Aojie Li , Xiaoyang Kang , Biwen Lei , Miaomiao Cui , Peiran Ren , Xuansong Xie

We introduce AvatarForge, a framework for generating animatable 3D human avatars from text or image inputs using AI-driven procedural generation. While diffusion-based methods have made strides in general 3D object generation, they struggle…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Xinhang Liu , Yu-Wing Tai , Chi-Keung Tang

If the video has long been mentioned as a widespread visualization form, the animation sequence in the video is mentioned as storytelling for people. Producing an animation requires intensive human labor from skilled professional artists to…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Thi-Ngoc-Hanh Le , Sheng-Yi Yao , Chun-Te Wu , Tong-Yee Lee

Recently, heatmap regression methods based on 1D landmark representations have shown prominent performance on locating facial landmarks. However, previous methods ignored to make deep explorations on the good potentials of 1D landmark…

Computer Vision and Pattern Recognition · Computer Science 2024-02-02 Shi Yin , Shijie Huan , Shangfei Wang , Jinshui Hu , Tao Guo , Bing Yin , Baocai Yin , Cong Liu

This paper presents DriVerse, a generative model for simulating navigation-driven driving scenes from a single image and a future trajectory. Previous autonomous driving world models either directly feed the trajectory or discrete control…

Robotics · Computer Science 2026-04-28 Xiaofan Li , Chenming Wu , Zhao Yang , Zhihao Xu , Dingkang Liang , Yumeng Zhang , Ji Wan , Jun Wang

Time series forecasting requires architectures that simultaneously achieve three competing objectives: (1) strict temporal causality for reliable predictions, (2) sub-quadratic complexity for practical scalability, and (3) multi-scale…

Machine Learning · Computer Science 2025-11-25 Qianru Zhang , Honggang Wen , Ming Li , Dong Huang , Siu-Ming Yiu , Christian S. Jensen , Pietro Liò

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

Sophisticated learning architectures, e.g., Transformers, present a unique opportunity for robots to understand complex vehicle-terrain kinodynamic interactions for off-road mobility. While internet-scale data are available for Natural…

Robotics · Computer Science 2025-02-04 Mohammad Nazeri , Anuj Pokhrel , Alexandyr Card , Aniket Datar , Garrett Warnell , Xuesu Xiao

Novel view synthesis is a long-standing problem. In this work, we consider a variant of the problem where we are given only a few context views sparsely covering a scene or an object. The goal is to predict novel viewpoints in the scene,…

Computer Vision and Pattern Recognition · Computer Science 2022-07-22 Jonáš Kulhánek , Erik Derner , Torsten Sattler , Robert Babuška

The paper introduces AniTalker, an innovative framework designed to generate lifelike talking faces from a single portrait. Unlike existing models that primarily focus on verbal cues such as lip synchronization and fail to capture the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Tao Liu , Feilong Chen , Shuai Fan , Chenpeng Du , Qi Chen , Xie Chen , Kai Yu

Transformer models have demonstrated remarkable success in many domains such as natural language processing (NLP) and computer vision. With the growing interest in transformer-based architectures, they are now utilized for gesture…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Mallika Garg , Debashis Ghosh , Pyari Mohan Pradhan

Recently, pure transformer-based models have shown great potentials for vision tasks such as image classification and detection. However, the design of transformer networks is challenging. It has been observed that the depth, embedding…

Computer Vision and Pattern Recognition · Computer Science 2021-07-02 Minghao Chen , Houwen Peng , Jianlong Fu , Haibin Ling

Audio-driven 3D facial animation has achieved significant progress in both research and applications. While recent baselines struggle to generate natural and continuous facial movements due to their frame-by-frame vertex generation…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Xuanmeng Sha , Liyun Zhang , Tomohiro Mashita , Naoya Chiba , Yuki Uranishi

Generating robust and reliable correspondences across images is a fundamental task for a diversity of applications. To capture context at both global and local granularity, we propose ASpanFormer, a Transformer-based detector-free matcher…

Computer Vision and Pattern Recognition · Computer Science 2022-08-31 Hongkai Chen , Zixin Luo , Lei Zhou , Yurun Tian , Mingmin Zhen , Tian Fang , David Mckinnon , Yanghai Tsin , Long Quan

Polygon meshes are an efficient representation of 3D geometry, and are of central importance in computer graphics, robotics and games development. Existing learning-based approaches have avoided the challenges of working with 3D meshes,…

Graphics · Computer Science 2020-02-26 Charlie Nash , Yaroslav Ganin , S. M. Ali Eslami , Peter W. Battaglia

Video-driven 3D facial animation transfer aims to drive avatars to reproduce the expressions of actors. Existing methods have achieved remarkable results by constraining both geometric and perceptual consistency. However, geometric…

Graphics · Computer Science 2024-10-10 Feng Qiu , Wei Zhang , Chen Liu , Rudong An , Lincheng Li , Yu Ding , Changjie Fan , Zhipeng Hu , Xin Yu

Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-collisions, respond to external forces and perform realistic…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Lingchen Yang , Gaspard Zoss , Prashanth Chandran , Markus Gross , Barbara Solenthaler , Eftychios Sifakis , Derek Bradley

From a visual perception perspective, modern graphical user interfaces (GUIs) comprise a complex graphics-rich two-dimensional visuospatial arrangement of text, images, and interactive objects such as buttons and menus. While existing…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Yue Jiang , Zixin Guo , Hamed Rezazadegan Tavakoli , Luis A. Leiva , Antti Oulasvirta

We present AnimaX, a feed-forward 3D animation framework that bridges the motion priors of video diffusion models with the controllable structure of skeleton-based animation. Traditional motion synthesis methods are either restricted to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Zehuan Huang , Haoran Feng , Yangtian Sun , Yuanchen Guo , Yanpei Cao , Lu Sheng

Character image animation, which synthesizes videos of reference characters driven by pose sequences, has advanced rapidly but remains largely limited to single-human settings. Existing methods struggle to generalize to multi-humanoid…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Xirui Hu , Yanbo Ding , Jiahao Wang , Tingting Shi , Yali Wang , Guo Zhi Zhi , Weizhan Zhang
‹ Prev 1 3 4 5 6 7 10 Next ›