Spatial Motion Doodles: Sketching Animation in VR Using Hand Gestures and Laban Motion Analysis

Garcia, Maxime; Ronfard, Rémi; Cani, Marie-Paule

doi:10.1145/3359566.3360061

Cited by 11 publications

(2 citation statements)

References 37 publications

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“…They provide a mathematical definition of the line of action, and an interface in which the software modifies the pose to follow a user-provided line. In the same line of though Garcia et al 9 propose a virtual reality-based interface where the user's hands motion (position and orientation over time) are transformed into sequences of actions and then into detailed character animations using a dataset of parametrized motion clips automatically fitted to the trajectory.…”

Section: Data-driven Pose Editionmentioning

confidence: 99%

Learning‐based pose edition for efficient and interactive design

Victor

Meyer

Bouakaz

2021

Computer Animation & Virtual

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Authoring an appealing animation for a virtual character is a challenging task. In computer-aided keyframe animation artists define the key poses of a character by manipulating its underlying skeletons. To look plausible, a character pose must respect many ill-defined constraints, and so the resulting realism greatly depends on the animator's skill and knowledge. Animation software provide tools to help in this matter, relying on various algorithms to automatically enforce some of these constraints. The increasing availability of motion capture data has raised interest in data-driven approaches to pose design, with the potential of shifting more of the task of assessing realism from the artist to the computer, and to provide easier access to nonexperts. In this article, we propose such a method, relying on neural networks to automatically learn the constraints from the data. We describe an efficient tool for pose design, allowing Naïve users to intuitively manipulate a pose to create character animations.

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Section: Data-driven Pose Editionmentioning

confidence: 99%

Learning‐based pose edition for efficient and interactive design

Victor

Meyer

Bouakaz

2021

Computer Animation & Virtual

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“…Eroglu et al [109], Dong et al [110], and Jiang et al [81] designed their custom controller based on the 3D positional trackers. There were also methods proposed by Giunchi et al [91] and Garcia et al [111] where they used the native VR controllers for interaction.…”

Section: D Controllermentioning

confidence: 99%

Classical Music Conference Culture of North India With Special Reference to Kolkata

Chatterjee¹,

Sarkhel²

2020

Ensm.

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Shape modeling research in Computer Graphics has been an active area for decades. The ability to create and edit complex 3D shapes has been of key importance in Computer-Aided Design, Animation, Architecture, and Entertainment. With the growing popularity of Virtual and Augmented Reality, new applications and tools have been developed for artistic content creation; real-time interactive shape modeling has become increasingly important for a continuum of virtual and augmented reality environments (eXtended Reality (XR)). Shape modeling in XR opens new possibilities for intuitive design and shape modeling in an accessible way. Artificial Intelligence (AI) approaches generating shape information from text prompts are set to change how artists create and edit 3D models. There has been a substantial body of research on interactive 3D shape modeling. However, there is no recent extensive review of the existing techniques and what AI shape generation means for shape modeling in interactive XR environments. In this state-of-the-art paper, we fill this research gap in the literature by surveying free-form shape modeling work in XR, with a focus on sculpting and 3D sketching, the most intuitive forms of free-form shape modeling. We classify and discuss these works across five dimensions: contribution of the articles, domain setting, interaction tool, auto-completion, and collaborative designing. The paper concludes by discussing the disconnect between interactive 3D sculpting and sketching and how this will likely evolve with the prevalence of AI shape-generation tools in the future.

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