A semantics-driven optimization of URBS curves via score distillation sampling produces single continuous line drawings from text prompts or images.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
NURBS Splatting represents rational splines as continuous Gaussian fields sampled along the curve to enable stable differentiable rendering of vector graphics.
A single continuous 4D B-spline wire with variable width can represent complex 3D forms with enforced global topological coherence better than collections of independent curves.
FontFusion adds hierarchical token conditioning, position-aware embeddings, and multi-level dropping to DiT diffusion models, yielding 76% relative gains on decorative fonts and 68-76% consistency improvements via a dual DeepFont+DINOv2 encoder.
citing papers explorer
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Single-Line Drawing Generation via Semantics-Driven Optimization
A semantics-driven optimization of URBS curves via score distillation sampling produces single continuous line drawings from text prompts or images.
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NURBS Splatting: A Unified Differentiable Rendering Framework for Vector Graphics
NURBS Splatting represents rational splines as continuous Gaussian fields sampled along the curve to enable stable differentiable rendering of vector graphics.
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Optimizing 4D Wires for Sparse 3D Abstraction
A single continuous 4D B-spline wire with variable width can represent complex 3D forms with enforced global topological coherence better than collections of independent curves.
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FontFusion: Enhancing Generative Text in Diffusion Models with Typographic Conditioning
FontFusion adds hierarchical token conditioning, position-aware embeddings, and multi-level dropping to DiT diffusion models, yielding 76% relative gains on decorative fonts and 68-76% consistency improvements via a dual DeepFont+DINOv2 encoder.