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Related papers: MIME: Human-Aware 3D Scene Generation

200 papers

This paper tackles the problem of physics-aware human motion synthesis in a dynamic scene. Unlike existing works which mainly tend to generate physically unrealistic motions due to limited contact modeling, typically restricted to hands, in…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Chaoyue Xing , Wei Mao , Miaomiao Liu

We present a system for generating indoor scenes in response to text prompts. The prompts are not limited to a fixed vocabulary of scene descriptions, and the objects in generated scenes are not restricted to a fixed set of object…

Computer Vision and Pattern Recognition · Computer Science 2024-03-18 Rio Aguina-Kang , Maxim Gumin , Do Heon Han , Stewart Morris , Seung Jean Yoo , Aditya Ganeshan , R. Kenny Jones , Qiuhong Anna Wei , Kailiang Fu , Daniel Ritchie

Human motion synthesis in complex scenes presents a fundamental challenge, extending beyond conventional Text-to-Motion tasks by requiring the integration of diverse modalities such as static environments, movable objects, natural language…

Graphics · Computer Science 2025-05-20 Zichen Geng , Zeeshan Hayder , Wei Liu , Ajmal Mian

Synthesizing realistic and diverse indoor 3D scene layouts in a controllable fashion opens up applications in simulated navigation and virtual reality. As concise and robust representations of a scene, scene graphs have proven to be…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Pietro Bonazzi , Mengqi Wang , Diego Martin Arroyo , Fabian Manhardt , Nico Messikomer , Federico Tombari , Davide Scaramuzza

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

Designing 3D scenes is currently a creative task that requires significant expertise and effort in using complex 3D design interfaces. This effortful design process starts in stark contrast to the easiness with which people can use language…

Graphics · Computer Science 2017-03-02 Angel X. Chang , Mihail Eric , Manolis Savva , Christopher D. Manning

Humans inhabit a world defined by interactions -- with other humans, objects, and environments. These interactive movements not only convey our relationships with our surroundings but also demonstrate how we perceive and communicate with…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Kewei Sui , Anindita Ghosh , Inwoo Hwang , Bing Zhou , Jian Wang , Chuan Guo

This paper addresses the challenge of learning semantically and functionally meaningful 3D motion priors from real-world videos, in order to enable prediction of future 3D scene motion from a single input image. We propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Jiahui Lei , Kyle Genova , George Kopanas , Noah Snavely , Leonidas Guibas

Modelling interactions between humans and objects in natural environments is central to many applications including gaming, virtual and mixed reality, as well as human behavior analysis and human-robot collaboration. This challenging…

Computer Vision and Pattern Recognition · Computer Science 2022-04-15 Bharat Lal Bhatnagar , Xianghui Xie , Ilya A. Petrov , Cristian Sminchisescu , Christian Theobalt , Gerard Pons-Moll

We present DIMO, a generative approach capable of generating diverse 3D motions for arbitrary objects from a single image. The core idea of our work is to leverage the rich priors in well-trained video models to extract the common motion…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Linzhan Mou , Jiahui Lei , Chen Wang , Lingjie Liu , Kostas Daniilidis

We present Playable Environments - a new representation for interactive video generation and manipulation in space and time. With a single image at inference time, our novel framework allows the user to move objects in 3D while generating a…

Computer Vision and Pattern Recognition · Computer Science 2022-03-17 Willi Menapace , Stéphane Lathuilière , Aliaksandr Siarohin , Christian Theobalt , Sergey Tulyakov , Vladislav Golyanik , Elisa Ricci

Human motion generation aims to generate natural human pose sequences and shows immense potential for real-world applications. Substantial progress has been made recently in motion data collection technologies and generation methods, laying…

Computer Vision and Pattern Recognition · Computer Science 2023-11-16 Wentao Zhu , Xiaoxuan Ma , Dongwoo Ro , Hai Ci , Jinlu Zhang , Jiaxin Shi , Feng Gao , Qi Tian , Yizhou Wang

Existing automatic approaches for 3D virtual character motion synthesis supporting scene interactions do not generalise well to new objects outside training distributions, even when trained on extensive motion capture datasets with diverse…

Computer Vision and Pattern Recognition · Computer Science 2024-02-16 Wanyue Zhang , Rishabh Dabral , Thomas Leimkühler , Vladislav Golyanik , Marc Habermann , Christian Theobalt

Natural and expressive human motion generation is the holy grail of computer animation. It is a challenging task, due to the diversity of possible motion, human perceptual sensitivity to it, and the difficulty of accurately describing it.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-04 Guy Tevet , Sigal Raab , Brian Gordon , Yonatan Shafir , Daniel Cohen-Or , Amit H. Bermano

Generating realistic 3D indoor scenes from user inputs remains a challenging problem in computer vision and graphics, requiring careful balance of geometric consistency, spatial relationships, and visual realism. While neural generation…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Mengqi Zhou , Xipeng Wang , Yuxi Wang , Zhaoxiang Zhang

Movement is how people interact with and affect their environment. For realistic character animation, it is necessary to synthesize such interactions between virtual characters and their surroundings. Despite recent progress in character…

Graphics · Computer Science 2023-02-03 Mohamed Hassan , Yunrong Guo , Tingwu Wang , Michael Black , Sanja Fidler , Xue Bin Peng

Can a video generation model be repurposed as an interactive world simulator? We explore the affordance perception potential of text-to-video models by teaching them to predict human-environment interaction. Given a scene image and a prompt…

Computer Vision and Pattern Recognition · Computer Science 2025-07-02 Mengyi Shan , Zecheng He , Haoyu Ma , Felix Juefei-Xu , Peizhao Zhang , Tingbo Hou , Ching-Yao Chuang

Constructing and animating humans is an important component for building virtual worlds in a wide variety of applications such as virtual reality or robotics testing in simulation. As there are exponentially many variations of humans with…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Ze Yang , Shenlong Wang , Sivabalan Manivasagam , Zeng Huang , Wei-Chiu Ma , Xinchen Yan , Ersin Yumer , Raquel Urtasun

Recent advancements in human motion synthesis have focused on specific types of motions, such as human-scene interaction, locomotion or human-human interaction, however, there is a lack of a unified system capable of generating a diverse…

Computer Vision and Pattern Recognition · Computer Science 2025-02-14 Jianqi Chen , Panwen Hu , Xiaojun Chang , Zhenwei Shi , Michael Kampffmeyer , Xiaodan Liang

Synthesizing natural human motions that enable a 3D human avatar to walk and reach for arbitrary goals in 3D space remains an unsolved problem with many applications. Existing methods (data-driven or using reinforcement learning) are…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Markos Diomataris , Nikos Athanasiou , Omid Taheri , Xi Wang , Otmar Hilliges , Michael J. Black