English
Related papers

Related papers: Compositional Human-Scene Interaction Synthesis wi…

200 papers

Generating gestures from human speech has gained tremendous progress in animating virtual avatars. While the existing methods enable synthesizing gestures cooperated by individual self-talking, they overlook the practicality of concurrent…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Xingqun Qi , Yatian Wang , Hengyuan Zhang , Jiahao Pan , Wei Xue , Shanghang Zhang , Wenhan Luo , Qifeng Liu , Yike Guo

In this paper, we propose to compress human body video with interactive semantics, which can facilitate video coding to be interactive and controllable by manipulating semantic-level representations embedded in the coded bitstream. In…

Image and Video Processing · Electrical Eng. & Systems 2025-05-23 Bolin Chen , Shanzhi Yin , Hanwei Zhu , Lingyu Zhu , Zihan Zhang , Jie Chen , Ru-Ling Liao , Shiqi Wang , Yan Ye

Digital human motion synthesis is a vibrant research field with applications in movies, AR/VR, and video games. Whereas methods were proposed to generate natural and realistic human motions, most only focus on modeling humans and largely…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Quanzhou Li , Jingbo Wang , Chen Change Loy , Bo Dai

Hands are dexterous and highly versatile manipulators that are central to how humans interact with objects and their environment. Consequently, modeling realistic hand-object interactions, including the subtle motion of individual fingers,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Omid Taheri , Yi Zhou , Dimitrios Tzionas , Yang Zhou , Duygu Ceylan , Soren Pirk , Michael J. Black

The compositional structure of language enables humans to decompose complex phrases and map them to novel visual concepts, showcasing flexible intelligence. While several algorithms exhibit compositionality, they fail to elucidate how…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Zijun Lin , M Ganesh Kumar , Cheston Tan

Synthesizing multi-character interactions is a challenging task due to the complex and varied interactions between the characters. In particular, precise spatiotemporal alignment between characters is required in generating close…

Graphics · Computer Science 2022-08-05 Aman Goel , Qianhui Men , Edmond S. L. Ho

Recent breakthroughs in 3D generation have enabled the synthesis of high-fidelity individual assets. However, generating 3D compositional objects from single images--particularly under occlusions--remains challenging. Existing methods often…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Hui Shan , Keyang Luo , Ming Li , Sizhe Zheng , Yanwei Fu , Zhen Chen , Xiangru Huang

This paper addresses the problem of generating 3D interactive human motion from text. Given a textual description depicting the actions of different body parts in contact with static objects, we synthesize sequences of 3D body poses that…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Sihan Ma , Qiong Cao , Jing Zhang , Dacheng Tao

Creating and editing high-quality 3D content remains a central challenge in computer graphics. We address this challenge by introducing CompoSE, a novel method for Compositional Synthesis and Editing of 3D shapes via part-aware control. Our…

Graphics · Computer Science 2026-05-20 Habib Slim , Shariq Farooq Bhat , Mohamed Elhoseiny , Yifan Wang , Mike Roberts

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

Generating human motions from textual descriptions has gained growing research interest due to its wide range of applications. However, only a few works consider human-scene interactions together with text conditions, which is crucial for…

Computer Vision and Pattern Recognition · Computer Science 2024-05-14 Zhi Cen , Huaijin Pi , Sida Peng , Zehong Shen , Minghui Yang , Shuai Zhu , Hujun Bao , Xiaowei Zhou

We address the challenging task of human reaction generation, which aims to generate a corresponding reaction based on an input action. Most of the existing works do not focus on generating and predicting the reaction and cannot generate…

Computer Vision and Pattern Recognition · Computer Science 2023-02-03 Baptiste Chopin , Hao Tang , Naima Otberdout , Mohamed Daoudi , Nicu Sebe

Character video synthesis aims to produce realistic videos of animatable characters within lifelike scenes. As a fundamental problem in the computer vision and graphics community, 3D works typically require multi-view captures for per-case…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Yifang Men , Yuan Yao , Miaomiao Cui , Liefeng Bo

Human emotion synthesis is a crucial aspect of affective computing. It involves using computational methods to mimic and convey human emotions through various modalities, with the goal of enabling more natural and effective human-computer…

Machine Learning · Computer Science 2024-12-11 Fei Ma , Yukan Li , Yifan Xie , Ying He , Yi Zhang , Hongwei Ren , Zhou Liu , Wei Yao , Fuji Ren , Fei Richard Yu , Shiguang Ni

Controllable human video generation aims to produce realistic videos of humans with explicitly guided motions and appearances,serving as a foundation for digital humans, animation, and embodied AI.However, the scarcity of largescale,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-24 Yuanchen Fei , Yude Zou , Zejian Kang , Ming Li , Jiaying Zhou , Xiangru Huang

Large-scale pre-trained video diffusion models have exhibited remarkable capabilities in diverse video generation. However, existing solutions face several challenges in generating long videos with rich human-scene interactions (HSI),…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Zekun Li , Rui Zhou , Rahul Sajnani , Xiaoyan Cong , Daniel Ritchie , Srinath Sridhar

Deep generative models allow for photorealistic image synthesis at high resolutions. But for many applications, this is not enough: content creation also needs to be controllable. While several recent works investigate how to disentangle…

Computer Vision and Pattern Recognition · Computer Science 2021-04-30 Michael Niemeyer , Andreas Geiger

Humans are in constant contact with the world as they move through it and interact with it. This contact is a vital source of information for understanding 3D humans, 3D scenes, and the interactions between them. In fact, we demonstrate…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Hongwei Yi , Chun-Hao P. Huang , Dimitrios Tzionas , Muhammed Kocabas , Mohamed Hassan , Siyu Tang , Justus Thies , Michael J. Black

This paper presents a real-time generative drawing system that interprets and integrates both formal intent - the structural, compositional, and stylistic attributes of a sketch - and contextual intent - the semantic and thematic meaning…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Jookyung Song , Mookyoung Kang , Nojun Kwak

We present a novel method to generate human motion to populate 3D indoor scenes. It can be controlled with various combinations of conditioning signals such as a path in a scene, target poses, past motions, and scenes represented as 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Nicolas Ugrinovic , Thomas Lucas , Fabien Baradel , Philippe Weinzaepfel , Gregory Rogez , Francesc Moreno-Noguer