Introduces a novel second-order differentiable energy from 3D triangle-triangle intersection tests and GPU-based inexact Newton optimization to resolve intersections without initialization or trajectory tracking.
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2026 2verdicts
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A conditional denoising diffusion model with classifier-free guidance synthesizes physically plausible 2D vector fields from sparse streamlines and outperforms optimization baselines.
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Differentiable 3D Triangle-Triangle Intersection Energy
Introduces a novel second-order differentiable energy from 3D triangle-triangle intersection tests and GPU-based inexact Newton optimization to resolve intersections without initialization or trajectory tracking.
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Vector Field Synthesis with Sparse Streamlines Using Diffusion Model
A conditional denoising diffusion model with classifier-free guidance synthesizes physically plausible 2D vector fields from sparse streamlines and outperforms optimization baselines.