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Humans interact with an object in many different ways by making contact at different locations, creating a highly complex motion space that can be difficult to learn, particularly when synthesizing such human interactions in a controllable…

Computer Vision and Pattern Recognition · Computer Science 2022-05-03 Xiaohan Zhang , Bharat Lal Bhatnagar , Vladimir Guzov , Sebastian Starke , Gerard Pons-Moll

Dance plays an important role as an artistic form and expression in human culture, yet automatically generating dance sequences is a significant yet challenging endeavor. Existing approaches often neglect the critical aspect of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Hongsong Wang , Ying Zhu , Xin Geng , Liang Wang

Character animation aims to generate lifelike videos by transferring motion dynamics from a driving video to a reference image. Recent strides in generative models have paved the way for high-fidelity character animation. In this work, we…

Generating large-scale multi-character interactions is a challenging and important task in character animation. Multi-character interactions involve not only natural interactive motions but also characters coordinated with each other for…

Graphics · Computer Science 2025-05-21 Ziyi Chang , He Wang , George Alex Koulieris , Hubert P. H. Shum

Large-scale articulated objects with high quality are desperately needed for multiple tasks related to embodied AI. Most existing methods for creating articulated objects are either data-driven or simulation based, which are limited by the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Xinyu Lian , Zichao Yu , Ruiming Liang , Yitong Wang , Li Ray Luo , Kaixu Chen , Yuanzhen Zhou , Qihong Tang , Xudong Xu , Zhaoyang Lyu , Bo Dai , Jiangmiao Pang

Compositional video generation aims to synthesize multiple instances with diverse appearance and motion. However, current approaches mainly focus on binding semantics, neglecting to understand diverse motion categories specified in prompts.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Zixuan Wang , Ziqin Zhou , Feng Chen , Duo Peng , Yixin Hu , Changsheng Li , Yinjie Lei

The one-shot talking-head synthesis task aims to animate a source image to another pose and expression, which is dictated by a driving frame. Recent methods rely on warping the appearance feature extracted from the source, by using motion…

Computer Vision and Pattern Recognition · Computer Science 2023-05-01 Kangning Liu , Yu-Chuan Su , Wei , Hong , Ruijin Cang , Xuhui Jia

Designing a 3D representation of a dynamic scene for fast optimization and rendering is a challenging task. While recent explicit representations enable fast learning and rendering of dynamic radiance fields, they require a dense set of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Nagabhushan Somraj , Kapil Choudhary , Sai Harsha Mupparaju , Rajiv Soundararajan

The objective of this paper is audio-visual synchronisation of general videos 'in the wild'. For such videos, the events that may be harnessed for synchronisation cues may be spatially small and may occur only infrequently during a many…

Computer Vision and Pattern Recognition · Computer Science 2022-10-14 Vladimir Iashin , Weidi Xie , Esa Rahtu , Andrew Zisserman

We introduce a method to synthesize animator guided human motion across 3D scenes. Given a set of sparse (3 or 4) joint locations (such as the location of a person's hand and two feet) and a seed motion sequence in a 3D scene, our method…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Aymen Mir , Xavier Puig , Angjoo Kanazawa , Gerard Pons-Moll

The objective of the multi-condition human motion synthesis task is to incorporate diverse conditional inputs, encompassing various forms like text, music, speech, and more. This endows the task with the capability to adapt across multiple…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Zeyu Ling , Bo Han , Yongkang Wong , Mohan Kangkanhalli , Weidong Geng

Modern video generative models based on diffusion models can produce very realistic clips, but they are computationally inefficient, often requiring minutes of GPU time for just a few seconds of video. This inefficiency poses a critical…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Jieying Chen , Jeffrey Hu , Joan Lasenby , Ayush Tewari

Motions in a video primarily consist of camera motion, induced by camera movement, and object motion, resulting from object movement. Accurate control of both camera and object motion is essential for video generation. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2024-07-17 Zhouxia Wang , Ziyang Yuan , Xintao Wang , Tianshui Chen , Menghan Xia , Ping Luo , Ying Shan

The generation and storage of spin squeezing is an attracting topic in quantum metrology and the foundations of quantum mechanics. The major models to realize the spin squeezing are the one- and two-axis twisting models. Here, we consider a…

Quantum Physics · Physics 2021-03-10 Qing-Shou Tan , Mao Zhang , Yu Chen , Jie-Qiao Liao , Jing Liu

Recent years have seen substantial progress in diffusion-based controllable video generation. However, achieving precise control in complex scenarios, including fine-grained object parts, sophisticated motion trajectories, and coherent…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Haitao Zhou , Chuang Wang , Rui Nie , Jinlin Liu , Dongdong Yu , Qian Yu , Changhu Wang

Synthesizing realistic human-object interactions (HOI) in video is challenging due to the complex, instance-specific interaction dynamics of both humans and objects. Incorporating controllability in video generation further adds to the…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Wanyue Zhang , Lin Geng Foo , Thabo Beeler , Rishabh Dabral , Christian Theobalt

Human motion modeling is important for many modern graphics applications, which typically require professional skills. In order to remove the skill barriers for laymen, recent motion generation methods can directly generate human motions…

Computer Vision and Pattern Recognition · Computer Science 2022-09-01 Mingyuan Zhang , Zhongang Cai , Liang Pan , Fangzhou Hong , Xinying Guo , Lei Yang , Ziwei Liu

With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well choreographed dance movements are extremely complex to animate…

Computer Vision and Pattern Recognition · Computer Science 2020-08-20 Jiaman Li , Yihang Yin , Hang Chu , Yi Zhou , Tingwu Wang , Sanja Fidler , Hao Li

The production of animation is a resource intensive process in game companies. Therefore, techniques to synthesize animations have been developed. However, these procedural techniques offer limited adaptability by animation artists. In…

Motion-controllable video generation is crucial for egocentric applications in virtual reality and embodied AI. However, existing methods often struggle to achieve 3D-consistent fine-grained hand articulation. By adopting on 2D trajectories…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Chenyangguang Zhang , Botao Ye , Boqi Chen , Alexandros Delitzas , Fangjinhua Wang , Marc Pollefeys , Xi Wang
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