gaussians_to_voxel — 3D transform op

• Data kinds: points → voxel

• Call: import match3d; match3d.gaussians_to_voxel(means, scales, opacities, size, bounds, device='cpu') (or ops3d.get("gaussians_to_voxel"))

• GPU: this op has a GPU path (device="cuda")

Usage

3DGS (anisotropic Gaussians) → a density voxel volume. Each Gaussian is placed at its mean with its opacity, then smoothed by the mean scale.

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

Runnable examples (verified samples that actually call this op)

• transforms_repr — py -3.11 examples_3d/transforms_repr.py

Ops the type connects to (they accept voxel as input)

voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa

Same category (transform)

points_to_voxel · mesh_to_voxel · mesh_to_points · depth_to_points · voxel_to_mips · voxel_to_mesh · tsdf_from_depth · signed_distance_field

*Provenance: match3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.