AnimationDiff: A Visual Comparison Tool for Generated 3D Character Animations
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911639747428352 |
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| author | Sidenmark, Ludwig Zhou, Qian Fitzmaurice, George Anderson, Fraser |
| author_facet | Sidenmark, Ludwig Zhou, Qian Fitzmaurice, George Anderson, Fraser |
| contents | Creating 3D character animations traditionally requires significant time and effort from the animator. Advancements in generative methods now enable easy creation of multiple character animation variations for use or further editing. However, this capability introduces a new challenge in comparing character animations to select the best animation, which is challenging due to temporal misalignment and the large amount of spatial data. We present AnimationDiff, a visual comparison tool for generated character animations. AnimationDiff enables contextual comparisons in the intended scene and camera angle, and embedding of spatial information by combining established animation visualization techniques and easy switching between overlaid and side-by-side comparisons. AnimationDiff also supports filtering to handle information overload, and Temporal Lenses that visualize entire animations over time for overview, alignment, and comparison. We evaluated AnimationDiff in a user study, showcasing its efficacy in animation comparison and providing design insights for comparing motion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_01001 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | AnimationDiff: A Visual Comparison Tool for Generated 3D Character Animations Sidenmark, Ludwig Zhou, Qian Fitzmaurice, George Anderson, Fraser Human-Computer Interaction Creating 3D character animations traditionally requires significant time and effort from the animator. Advancements in generative methods now enable easy creation of multiple character animation variations for use or further editing. However, this capability introduces a new challenge in comparing character animations to select the best animation, which is challenging due to temporal misalignment and the large amount of spatial data. We present AnimationDiff, a visual comparison tool for generated character animations. AnimationDiff enables contextual comparisons in the intended scene and camera angle, and embedding of spatial information by combining established animation visualization techniques and easy switching between overlaid and side-by-side comparisons. AnimationDiff also supports filtering to handle information overload, and Temporal Lenses that visualize entire animations over time for overview, alignment, and comparison. We evaluated AnimationDiff in a user study, showcasing its efficacy in animation comparison and providing design insights for comparing motion. |
| title | AnimationDiff: A Visual Comparison Tool for Generated 3D Character Animations |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2605.01001 |