YASPS is a symbolic differentiable framework that uses JOIN and UNION operators to enable extensible high-performance IPC simulation on GPUs with automatic sparsity derivation and JIT kernel compilation.
Surface-Filling Curve Flows via Implicit Medial Axes , year =
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
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.
citing papers explorer
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YASPS: A Symbolic Framework for Extensible, High-Performance IPC Simulation
YASPS is a symbolic differentiable framework that uses JOIN and UNION operators to enable extensible high-performance IPC simulation on GPUs with automatic sparsity derivation and JIT kernel compilation.
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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.