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In this paper, we address the problem of building dense correspondences between human images under arbitrary camera viewpoints and body poses. Prior art either assumes small motion between frames or relies on local descriptors, which cannot…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Feitong Tan , Danhang Tang , Mingsong Dou , Kaiwen Guo , Rohit Pandey , Cem Keskin , Ruofei Du , Deqing Sun , Sofien Bouaziz , Sean Fanello , Ping Tan , Yinda Zhang

Sequentially interacting with articulated objects is crucial for a mobile manipulator to operate effectively in everyday environments. To enable long-horizon tasks involving articulated objects, this study explores building scene-level…

Generating high-fidelity full-body human interactions with dynamic objects and static scenes remains a critical challenge in computer graphics and animation. Existing methods for human-object interaction often neglect scene context, leading…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Wei Yao , Yunlian Sun , Hongwen Zhang , Yebin Liu , Jinhui Tang

With the rapid advancement of game and film production, generating interactive motion from texts has garnered significant attention due to its potential to revolutionize content creation processes. In many practical applications, there is a…

Robotics · Computer Science 2025-02-18 Runqi Wang , Caoyuan Ma , Jian Zhao , Hanrui Xu , Dongfang Sun , Haoyang Chen , Lin Xiong , Zheng Wang , Xuelong Li

Generating coherent long-form video sequences from discrete text prompts remains challenging due to difficulties in maintaining temporal coherence, semantic consistency, and scene-action continuity across segments. We propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Taewon Kang , Divya Kothandaraman , Ming C. Lin

We revisit human motion synthesis, a task useful in various real world applications, in this paper. Whereas a number of methods have been developed previously for this task, they are often limited in two aspects: focusing on the poses while…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Jingbo Wang , Sijie Yan , Bo Dai , Dahua LIn

We present Uni-Inter, a unified framework for human motion generation that supports a wide range of interaction scenarios: including human-human, human-object, and human-scene-within a single, task-agnostic architecture. In contrast to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Sheng Liu , Yuanzhi Liang , Jiepeng Wang , Sidan Du , Chi Zhang , Xuelong Li

Preserving semantics, in particular in terms of contacts, is a key challenge when retargeting motion between characters of different morphologies. Our solution relies on a low-dimensional embedding of the character's mesh, based on rigged…

Graphics · Computer Science 2025-03-03 Théo Cheynel , Thomas Rossi , Baptiste Bellot-Gurlet , Damien Rohmer , Marie-Paule Cani

Generating realistic dyadic human motion from text descriptions presents significant challenges, particularly for extended interactions that exceed typical training sequence lengths. While recent transformer-based approaches have shown…

Computer Vision and Pattern Recognition · Computer Science 2025-05-16 Julian Tanke , Takashi Shibuya , Kengo Uchida , Koichi Saito , Yuki Mitsufuji

2D animation is a common factor in game development, used for characters, effects and background art. It involves work that takes both skill and time, but parts of which are repetitive and tedious. Automated animation approaches exist, but…

Graphics · Computer Science 2022-09-02 Dagmar Lukka Loftsdóttir , Matthew Guzdial

Multi-frame human pose estimation in complicated situations is challenging. Although state-of-the-art human joints detectors have demonstrated remarkable results for static images, their performances come short when we apply these models to…

Computer Vision and Pattern Recognition · Computer Science 2021-03-22 Zhenguang Liu , Haoming Chen , Runyang Feng , Shuang Wu , Shouling Ji , Bailin Yang , Xun Wang

This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most existing research on HOI synthesis lacks comprehensive whole-body interactions with dynamic objects, e.g., often limited to manipulating small or…

Computer Vision and Pattern Recognition · Computer Science 2023-09-01 Sirui Xu , Zhengyuan Li , Yu-Xiong Wang , Liang-Yan Gui

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

Markerless motion capture has become an active field of research in computer vision in recent years. Its extensive applications are known in a great variety of fields, including computer animation, human motion analysis, biomedical…

Computer Vision and Pattern Recognition · Computer Science 2022-01-10 Doan Duy Vo , Russell Butler

Human interaction recognition is a challenging problem in computer vision and has been researched over the years due to its important applications. With the development of deep models for the human pose estimation problem, this work aims to…

Computer Vision and Pattern Recognition · Computer Science 2016-12-14 Marcel Sheeny de Moraes , Sankha Mukherjee , Neil M Robertson

Text-to-motion synthesis is a crucial task in computer vision. Existing methods are limited in their universality, as they are tailored for single-person or two-person scenarios and can not be applied to generate motions for more…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Ke Fan , Junshu Tang , Weijian Cao , Ran Yi , Moran Li , Jingyu Gong , Jiangning Zhang , Yabiao Wang , Chengjie Wang , Lizhuang Ma

Synthesizing natural interactions between virtual humans and their 3D environments is critical for numerous applications, such as computer games and AR/VR experiences. Our goal is to synthesize humans interacting with a given 3D scene…

Computer Vision and Pattern Recognition · Computer Science 2022-07-27 Kaifeng Zhao , Shaofei Wang , Yan Zhang , Thabo Beeler , Siyu Tang

Generating realistic group interactions involving multiple characters remains challenging due to increasing complexity as group size expands. While existing conditional diffusion models incrementally generate motions by conditioning on…

Computer Vision and Pattern Recognition · Computer Science 2025-07-28 Sakuya Ota , Qing Yu , Kent Fujiwara , Satoshi Ikehata , Ikuro Sato

Hands are the main medium when people interact with the world. Generating proper 3D motion for hand-object interaction is vital for applications such as virtual reality and robotics. Although grasp tracking or object manipulation synthesis…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Yuze Hao , Jianrong Zhang , Tao Zhuo , Fuan Wen , Hehe Fan

Animation of 2D hand-drawn sketches provides an effective medium for visual communication. However, these sketches pose challenges, particularly in handling occlusions and accurately mapping motion. While 3D animation naturally addresses…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Gaurav Rai , Ojaswa Sharma