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Related papers: PhysDreamer: Physics-Based Interaction with 3D Obj…

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Accurately simulating existing 3D objects and a wide variety of materials often demands expert knowledge and time-consuming physical parameter tuning to achieve the desired dynamic behavior. We introduce MotionPhysics, an end-to-end…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Miaowei Wang , Jakub Zadrożny , Oisin Mac Aodha , Amir Vaxman

Recent advances in generative video modeling, driven by large-scale datasets and powerful architectures, have yielded remarkable visual realism. However, emerging evidence suggests that simply scaling data and model size does not endow…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Ying Shen , Jerry Xiong , Tianjiao Yu , Ismini Lourentzou

Differentiable particle-based simulation can produce physically plausible motion, but target-driven volumetric shape morphing remains underconstrained: physics-only mass matching captures coarse global structure yet struggles with fine…

Graphics · Computer Science 2026-04-22 Chang-Yong Song , David Hyde

Recent advances in video generative models enable the synthesis of realistic human-object interaction videos across a wide range of scenarios and object categories, including complex dexterous manipulations that are difficult to capture…

Computer Vision and Pattern Recognition · Computer Science 2026-04-23 Hyeonwoo Kim , Jeonghwan Kim , Kyungwon Cho , Hanbyul Joo

Interaction in virtual reality (VR) environments is essential to achieve a pleasant and immersive experience. Most of the currently existing VR applications, lack of robust object grasping and manipulation, which are the cornerstone of…

Robotic grasping is a fundamental aspect of robot functionality, defining how robots interact with objects. Despite substantial progress, its generalizability to counter-intuitive or long-tailed scenarios, such as objects with uncommon…

Robotics · Computer Science 2024-02-27 Dingkun Guo , Yuqi Xiang , Shuqi Zhao , Xinghao Zhu , Masayoshi Tomizuka , Mingyu Ding , Wei Zhan

Animating an avatar that reflects a user's action in the VR world enables natural interactions with the virtual environment. It has the potential to allow remote users to communicate and collaborate in a way as if they met in person.…

Graphics · Computer Science 2022-09-14 Yongjing Ye , Libin Liu , Lei Hu , Shihong Xia

Existing single-image 3D indoor scene generators often produce results that look visually plausible but fail to obey real-world physics, limiting their reliability in robotics, embodied AI, and design. To examine this gap, we introduce a…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Dongli Wu , Jingyu Hu , Ka-Hei Hui , Xiaobao Wei , Chengwen Luo , Jianqiang Li , Zhengzhe Liu

In real life, grasping is one of the fundamental and effective forms of interaction when manipulating objects. This holds true in the physical and virtual world; however, unlike the physical world, virtual reality (VR) is grasped in a…

Human-Computer Interaction · Computer Science 2024-11-12 Mingzhao Zhou , Nadine Aburumman

Interactions play a key role in understanding objects and scenes, for both virtual and real world agents. We introduce a new general representation for proximal interactions among physical objects that is agnostic to the type of objects or…

Modeling sounds emitted from physical object interactions is critical for immersive perceptual experiences in real and virtual worlds. Traditional methods of impact sound synthesis use physics simulation to obtain a set of physics…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Kun Su , Kaizhi Qian , Eli Shlizerman , Antonio Torralba , Chuang Gan

We present BimArt, a novel generative approach for synthesizing 3D bimanual hand interactions with articulated objects. Unlike prior works, we do not rely on a reference grasp, a coarse hand trajectory, or separate modes for grasping and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Wanyue Zhang , Rishabh Dabral , Vladislav Golyanik , Vasileios Choutas , Eduardo Alvarado , Thabo Beeler , Marc Habermann , Christian Theobalt

We present DreamHuman, a method to generate realistic animatable 3D human avatar models solely from textual descriptions. Recent text-to-3D methods have made considerable strides in generation, but are still lacking in important aspects.…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Nikos Kolotouros , Thiemo Alldieck , Andrei Zanfir , Eduard Gabriel Bazavan , Mihai Fieraru , Cristian Sminchisescu

Machines that can predict the effect of physical interactions on the dynamics of previously unseen object instances are important for creating better robots and interactive virtual worlds. In this work, we focus on predicting the dynamics…

Computer Vision and Pattern Recognition · Computer Science 2020-01-20 Davis Rempe , Srinath Sridhar , He Wang , Leonidas J. Guibas

Recent advancements in generative models have enabled the creation of dynamic 4D content - 3D objects in motion - based on text prompts, which holds potential for applications in virtual worlds, media, and gaming. Existing methods provide…

Computer Vision and Pattern Recognition · Computer Science 2025-05-28 Ohad Rahamim , Ori Malca , Dvir Samuel , Gal Chechik

Recent video diffusion models have achieved impressive capabilities as large-scale generative world models. However, these models often struggle with fine-grained physical consistency, exhibiting physically implausible dynamics over time.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-09 Haoran Lu , Shang Wu , Jianshu Zhang , Maojiang Su , Guo Ye , Chenwei Xu , Lie Lu , Pranav Maneriker , Fan Du , Manling Li , Zhaoran Wang , Han Liu

3D modeling is shifting from static visual representations toward physical, articulated assets that can be directly used in simulation and interaction. However, most existing 3D generation methods overlook key physical and articulation…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Ziang Cao , Fangzhou Hong , Zhaoxi Chen , Liang Pan , Ziwei Liu

Video generation models are increasingly used as world simulators for storytelling, simulation, and embodied AI. As these models advance, a key question arises: do generated videos obey the physical laws of the real world? Existing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Qin Zhang , Peiyu Jing , Hong-Xing Yu , Fangqiang Ding , Fan Nie , Weimin Wang , Yilun Du , James Zou , Jiajun Wu , Bing Shuai

Humanoid Reaction Synthesis is pivotal for creating highly interactive and empathetic robots that can seamlessly integrate into human environments, enhancing the way we live, work, and communicate. However, it is difficult to learn the…

Robotics · Computer Science 2024-04-02 Yunze Liu , Changxi Chen , Chenjing Ding , Li Yi

Recent progress in video generation has led to substantial improvements in visual fidelity, yet ensuring physically consistent motion remains a fundamental challenge. Intuitively, this limitation can be attributed to the fact that…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Cong Wang , Hanxin Zhu , Xiao Tang , Jiayi Luo , Xin Jin , Long Chen , Zhibo Chen
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