VAnim creates open-domain text-to-SVG animations via sparse state updates on a persistent DOM tree, identification-first planning, and rendering-aware RL with a new 134k-example benchmark.
Clip-clop: Clip-guided collage and photomontage
3 Pith papers cite this work. Polarity classification is still indexing.
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SVGDreamer introduces semantic-driven image vectorization (SIVE) and vectorized particle-based score distillation (VPSD) to produce editable, high-quality, diverse SVGs from text.
DiffSketcher synthesizes vector sketches from natural language by optimizing Bezier curves with diffusion model guidance via extended SDS loss.
citing papers explorer
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VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animation
VAnim creates open-domain text-to-SVG animations via sparse state updates on a persistent DOM tree, identification-first planning, and rendering-aware RL with a new 134k-example benchmark.
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SVGDreamer: Text Guided SVG Generation with Diffusion Model
SVGDreamer introduces semantic-driven image vectorization (SIVE) and vectorized particle-based score distillation (VPSD) to produce editable, high-quality, diverse SVGs from text.
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DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models
DiffSketcher synthesizes vector sketches from natural language by optimizing Bezier curves with diffusion model guidance via extended SDS loss.