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Authors: Gaurav Rai and Ojaswa Sharma

Affiliation: Graphics Research Group, Indraprastha Institute of Information Technology Delhi, India

Keyword(s): Sketch Animation, Bézier Curve, Diffusion Models, Control Points, Regularization, As-Rigid-As-Possible.

Abstract: Animating hand-drawn sketches using traditional tools is challenging and complex. Sketches provide a visual basis for explanations, and animating these sketches offers an experience of real-time scenarios. We propose an approach for animating a given input sketch based on a descriptive text prompt. Our method utilizes a parametric representation of the sketch’s strokes. Unlike previous methods, which struggle to estimate smooth and accurate motion and often fail to preserve the sketch’s topology, we leverage a pre-trained text-to-video diffusion model with SDS loss to guide the motion of the sketch’s strokes. We introduce length-area (LA) regularization to ensure temporal consistency by accurately estimating the smooth displacement of control points across the frame sequence. Additionally, to preserve shape and avoid topology changes, we apply a shape-preserving As-Rigid-As-Possible (ARAP) loss to maintain sketch rigidity. Our method surpasses state-of-the-art performance in both qua ntitative and qualitative evaluations. https://graphics-research-group.github.io/ESA/. (More)

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Paper citation in several formats:
Rai, G. and Sharma, O. (2025). Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP; ISBN 978-989-758-728-3; ISSN 2184-4321, SciTePress, pages 151-160. DOI: 10.5220/0013304800003912

@conference{grapp25,
author={Gaurav Rai and Ojaswa Sharma},
title={Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP},
year={2025},
pages={151-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013304800003912},
isbn={978-989-758-728-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP
TI - Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraints
SN - 978-989-758-728-3
IS - 2184-4321
AU - Rai, G.
AU - Sharma, O.
PY - 2025
SP - 151
EP - 160
DO - 10.5220/0013304800003912
PB - SciTePress

- Science and Technology Publications, Lda.
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