Notational Animating: An Interactive Approach to Creating and Editing Animation Keyframes
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866911495265189888 |
|---|---|
| author | Shi, Xinyu Wei, Li-Yi Zhao, Nanxuan Zhao, Jian Kazi, Rubaiat Habib |
| author_facet | Shi, Xinyu Wei, Li-Yi Zhao, Nanxuan Zhao, Jian Kazi, Rubaiat Habib |
| contents | We introduce the concept of notational animating, an interaction paradigm for animation authoring where users sketch high-level notations over static drawings to indicate intended motions, which are then interpreted by automatic methods (e.g., GenAI models) to generate animation keyframes. Sketched notations have long served as cognitive instruments for animators, capturing forces, poses, dynamics, paths, and other animation features. However, such notations are often context-dependent, non-categorical, ambiguous, and composable based on our analysis of real-world animator-produced sketches. To facilitate interpretation, we first formalize these notations into a structured animation representation (i.e., source, path, and target). We then built an animation authoring system that translates high-level notations into the formalized intended animation, provides dynamic UI widgets for fine-grained parameter control, and establishes a closed feedback loop to resolve ambiguity. Finally, through a preliminary study with animators, we assess the usability of notational animating, reflect its affordance, and identify its contexts of use. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_06880 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Notational Animating: An Interactive Approach to Creating and Editing Animation Keyframes Shi, Xinyu Wei, Li-Yi Zhao, Nanxuan Zhao, Jian Kazi, Rubaiat Habib Human-Computer Interaction We introduce the concept of notational animating, an interaction paradigm for animation authoring where users sketch high-level notations over static drawings to indicate intended motions, which are then interpreted by automatic methods (e.g., GenAI models) to generate animation keyframes. Sketched notations have long served as cognitive instruments for animators, capturing forces, poses, dynamics, paths, and other animation features. However, such notations are often context-dependent, non-categorical, ambiguous, and composable based on our analysis of real-world animator-produced sketches. To facilitate interpretation, we first formalize these notations into a structured animation representation (i.e., source, path, and target). We then built an animation authoring system that translates high-level notations into the formalized intended animation, provides dynamic UI widgets for fine-grained parameter control, and establishes a closed feedback loop to resolve ambiguity. Finally, through a preliminary study with animators, we assess the usability of notational animating, reflect its affordance, and identify its contexts of use. |
| title | Notational Animating: An Interactive Approach to Creating and Editing Animation Keyframes |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2603.06880 |