Blender synthetic -- LEGO bulldozer

blender_lego · Blender / NeRF synthetic · planned — not present locally yet

Ground-truth mesh

Not present locally. See the acquisition plan below.

Why this sample is in the benchmark

The most widely reported object in the Gaussian Splatting literature, so numbers here are directly comparable to published tables. Glossy plastic with many small edges.

Ground truth

GT type

exact

licence

MIT / research (see release)

source

Blender / NeRF synthetic

builder

- {'scene': 'lego'}

views

100 × 800px (orbit, fov 50°)

lighting

provided

Acquisition plan

kind script, automatic False, estimated size 50 MiB

1. Auto-download through nerfbaselines (recommended)

   pip install nerfbaselines && python -c "import nerfbaselines; nerfbaselines.download_dataset('blender')"

2. Original NeRF synthetic + LLFF data release
   https://drive.google.com/drive/folders/1cK3UDIJqKAAm7zyrxRYVFJ0BRMgrwhh4
3. Export ground-truth mesh from the .blend file

   blender -b lego.blend --python examples/export_blend_mesh.py

Blender / NeRF synthetic scenes (Mildenhall et al.): lego, chair, drums, ficus, hotdog, materials, mic, ship. 100-200 upward-facing views with exact poses (transforms.json) AND the .blend files, from which the ground-truth mesh can be exported exactly. This is the reference object-level geometry benchmark.

Comparisons

No reconstruction compared yet. Run geombench compare blender_lego --mock or point it at a real 3DGS output.