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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Garment Particles is a 5D point cloud representation jointly encoding 2D sewing patterns and 3D geometry, supporting rectified flow generation from high-level inputs and diffusion-based editing of patterns or shapes.
MIC casts diffusion motion generation as stochastic control to support both objective-based and criterion-based constraints without training or differentiability requirements.
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.
A new geometric optimization method generates synchronized deployment trajectories for elastic geodesic grids by approximating node paths from inverse tracing and solving a non-smooth polyline problem to drive stable finite element simulations.
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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Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
Garment Particles is a 5D point cloud representation jointly encoding 2D sewing patterns and 3D geometry, supporting rectified flow generation from high-level inputs and diffusion-based editing of patterns or shapes.
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Geometric Guidance for Globally Synchronized Deployment of Elastic Geodesic Grids
A new geometric optimization method generates synchronized deployment trajectories for elastic geodesic grids by approximating node paths from inverse tracing and solving a non-smooth polyline problem to drive stable finite element simulations.