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PhysDiff: Physics-Guided Human Motion Diffusion Model [PDF]
arXiv, 2022 Denoising diffusion models hold great promise for generating diverse and realistic human motions. However, existing motion diffusion models largely disregard the laws of physics in the diffusion process and often generate physically-implausible motions with pronounced artifacts such as floating, foot sliding, and ground penetration.
Ye Yuan +4 more
arxiv +4 more sources
Analysis of the Use of Circular Motion Physics Concepts on Game Rides in Jawa Timur Park 1
Studies in Philosophy of Science and Education, 2021 In general, physics has been widely spread well in everyday life, one of which is used as a concept in holiday destinations in Indonesia. In East Java, Jatim Park group has been established by a combination of education and entertainment, resulting in ...
Kirana Aureola Arzak +2 more
openalex +3 more sources
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture [PDF]
arXiv, 2022 Due to the visual ambiguity, purely kinematic formulations on monocular human motion capture are often physically incorrect, biomechanically implausible, and can not reconstruct accurate interactions. In this work, we focus on exploiting the high-precision and non-differentiable physics simulator to incorporate dynamical constraints in motion capture ...
Buzhen Huang +4 more
arxiv +3 more sources
, 2004 It is a commonplace of Aristotelian biology that animals have the faculty of locomotion, i.e. they can move on their own – they do not need to be pushed or pulled. Nonetheless, many commentators believe Aristotle’s remarks about self-motion in Physics VIII amount in some way to a denial or severe qualification of the claim that animals move themselves,
Ben Morison
openaire +3 more sources
Micromachines, 2015 A quantitative description of the dynamics of droplet motion has been a long-standing concern in electrowetting research. Although many static and dynamic models focusing on droplet motion induced by electrowetting-on-dielectric (EWOD) already exist ...
Weiwei Cui +5 more
doaj +2 more sources
Ontological physics-based motion planning for manipulation [PDF]
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on Emerging Technologies Factory Automation (ETFA ...
Ud Din, Muhayy +2 more
openaire +6 more sources
An example of motion in a course of physics for agriculture [PDF]
The Physics Teacher, 1984 Ivan Amaral Guerrini
openaire +4 more sources
Universal Humanoid Motion Representations for Physics-Based Control [PDF]
International Conference on Learning Representations, 2023 We present a universal motion representation that encompasses a comprehensive range of motor skills for physics-based humanoid control. Due to the high dimensionality of humanoids and the inherent difficulties in reinforcement learning, prior methods ...
Zhengyi Luo +6 more
semanticscholar +1 more source
Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors [PDF]
Computer Vision and Pattern Recognition, 2022 Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recording space is not restricted to be within the viewing frustum of the camera ...
Xinyu Yi +6 more
semanticscholar +1 more source
Physics-based Human Motion Estimation and Synthesis from Videos [PDF]
IEEE International Conference on Computer Vision, 2021 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.
Kevin Xie +5 more
semanticscholar +1 more source