Vector Graphics
25 papers with code • 0 benchmarks • 1 datasets
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Latest papers with no code
Dynamic Typography: Bringing Text to Life via Video Diffusion Prior
Through quantitative and qualitative evaluations, we demonstrate the effectiveness of our framework in generating coherent text animations that faithfully interpret user prompts while maintaining readability.
Text-Based Reasoning About Vector Graphics
By casting an image to a text-based representation, we can leverage the power of language models to learn alignment from SVG to visual primitives and generalize to unseen question-answering tasks.
SVGCraft: Beyond Single Object Text-to-SVG Synthesis with Comprehensive Canvas Layout
In response, this work introduces SVGCraft, a novel end-to-end framework for the creation of vector graphics depicting entire scenes from textual descriptions.
StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
To leverage LLMs for visual synthesis, traditional methods convert raster image information into discrete grid tokens through specialized visual modules, while disrupting the model's ability to capture the true semantic representation of visual scenes.
VecFusion: Vector Font Generation with Diffusion
We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions.
Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models
Our method focuses on producing SVGs that are both accurate and simple, aligning with human readability and understanding.
Posterior Distillation Sampling
PDS matches the stochastic latents of the source and the target, enabling the sampling of targets in diverse parameter spaces that align with a desired attribute while maintaining the source's identity.
SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Model
Vector graphics are widely used in graphical designs and have received more and more attention.
Text-Guided Vector Graphics Customization
In this paper, we propose a novel pipeline that generates high-quality customized vector graphics based on textual prompts while preserving the properties and layer-wise information of a given exemplar SVG.
A Theory of Topological Derivatives for Inverse Rendering of Geometry
We introduce a theoretical framework for differentiable surface evolution that allows discrete topology changes through the use of topological derivatives for variational optimization of image functionals.
