mlsanityData to 14 Oct 2026

Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors

arXiv 2508.15535 ↗First posted 21 Aug 2025cs.CVcited by 9

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Abstract (arXiv)

We introduce GroupSketch, a novel method for vector sketch animation that effectively handles multi-object interactions and complex motions. Existing approaches struggle with these scenarios, either being limited to single-object cases or suffering from temporal inconsistency and poor generalization. To address these limitations, our method adopts a two-stage pipeline comprising Motion Initialization and Motion Refinement. In the first stage, the input sketch is interactively divided into semantic groups and key frames are defined, enabling the generation of a coarse animation via interpolation. In the second stage, we propose a Group-based Displacement Network (GDN), which refines the coarse animation by predicting group-specific displacement fields, leveraging priors from a text-to-video model. GDN further incorporates specialized modules, such as Context-conditioned Feature Enhancement (CCFE), to improve temporal consistency. Extensive experiments demonstrate that our approach significantly outperforms existing methods in generating high-quality, temporally consistent animations for complex, multi-object sketches, thus expanding the practical applications of sketch animation.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 37 of its 61 references that are in the map. First posted on arXiv 21 Aug 2025.

Builds on

37 of 61 references.

References · 37

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25 more
  1. 2023Any-to-Any Generation via Composable Diffusioncited by 204
  2. 2021CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoderscited by 187
  3. 2020Sketchformer: Transformer-based Representation for Sketched Structurecited by 78
  4. 2023SVGDreamer: Text Guided SVG Generation with Diffusion Modelcited by 76
  5. 2019Photo-Sketching: Inferring Contour Drawings from Imagescited by 68
  6. 2024Empowering LLMs to Understand and Generate Complex Vector Graphicscited by 66
  7. 2022CLIPascene: Scene Sketching with Different Types and Levels of Abstractioncited by 64
  8. 2020Deep Learning for Free-Hand Sketch: A Surveycited by 59
  9. 2022CLIPasso: Semantically-Aware Object Sketchingcited by 57
  10. 2023Breathing Life Into Sketches Using Text-to-Video Priorscited by 48
  11. 2018Learning to Sketch with Shortcut Cycle Consistencycited by 47
  12. 2020Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestaltcited by 42
  13. 2024Text-to-Vector Generation with Neural Path Representationcited by 33
  14. 2024SketchAgent: Language-Driven Sequential Sketch Generationcited by 31
  15. 2020Why Do Line Drawings Work? A Realism Hypothesiscited by 28
  16. 2020P-Cloth: Interactive Complex Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integratorscited by 26
  17. 2021Learning to Draw: Emergent Communication through Sketchingcited by 23
  18. 2017Sketch-pix2seq: a Model to Generate Sketches of Multiple Categoriescited by 20
  19. 2015Free-hand Sketch Synthesis with Deformable Stroke Modelscited by 16
  20. 2021DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learningcited by 15
  21. 2020Synthesizing human-like sketches from natural images using a conditional convolutional decodercited by 13
  22. 2023SketchDreamer: Interactive Text-Augmented Creative Sketch Ideationcited by 10
  23. 2024FlipSketch: Flipping Static Drawings to Text-Guided Sketch Animationscited by 8
  24. 2024VectorPainter: Advanced Stylized Vector Graphics Synthesis Using Stroke-Style Priorscited by 7
  25. 2024Enhancing Sketch Animation: Text-to-Video Diffusion Models with Temporal Consistency and Rigidity Constraintscited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 8.

9 papers.