CubicSplat: Differentiable Vector Graphics via Error-Bounded Forward Relaxation
Vector graphics are prized for their resolution independence, compact storage, and direct editability, making differentiable optimization of their parametric primitives an attractive goal. Yet classical rasterization is discontinuous with respect to geometry, and existing remedies that smooth the forward pass demand increasingly elaborate heuristics as scene complexity grows. We trace this fragility to a gradient seesaw: design choices that improve forward geometric exactness can systematically degrade the induced gradient signal, and vice versa. To navigate this tension we introduce CubicSplat, a differentiable vector rasterizer that replaces Bézier closest-point solvers with uniform pol...
| Authors | Chenglong Liu, Xin Zhang, Yimeng Zhu et al. |
|---|---|
| Primary category | cs.GR |
| Published | 21 August 2026 |
| Last updated at source | 21 August 2026 |
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