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These meshes are derived from the Breaking Bad dataset (Sellán et al., 2022), whose everyday subset is built from PartNet / ShapeNet models and inherits the ShapeNet terms of use (https://shapenet.org/terms): non-commercial research and educational use only. Requests are reviewed manually.

Breaking Bad STRIVE collision proxies

Normalized complete and fractured meshes from the volume-constrained everyday subset of Breaking Bad, each paired with a CoACD compound collision proxy for MuJoCo. Release everyday-vc-coacd-v1.


Objects selected	496
Objects by status	{'complete': 492, 'failed': 4}
(object, pattern) pairs	983
Pairs by piece count	{2: 241, 3: 265, 4: 266, 5: 211}
Meshes with proxies	3888
Repair methods	{'none': 3888}
Mean hulls per mesh	36.53
Hull cap raised to 64	2054
Largest hull cap still reached	1239

Layout

manifest.jsonl        one row per (object, pattern): pieces with mesh, proxy, mass properties; adjacency
objects.jsonl         one row per selected object: status, complete mesh + proxy, normalization, attempts
candidates.jsonl.gz   every pattern of the source subset with its piece count
failures.jsonl        every failed attempt (stage, error)
provenance.json       source checksum, seed, settings, package versions, code revision
checksums.sha256
assets/<Category>/<object_id>/complete.obj | complete.proxy.obj
assets/<Category>/<object_id>/patterns/<pattern>/piece_<i>.obj | piece_<i>.proxy.obj

A *.repaired.obj sits beside a mesh only when the watertight repair changed it; the proxy and mass properties are computed from the repaired copy in that case.

Conventions

Frame: metres, Z-up. world = (native - center) * scale; scale = min(0.34 / max(ex, ey), 0.55 / ez) with the complete mesh's bounding box; every piece uses its object's transform, so pieces are registered to the complete mesh. center (native units) and scale are in objects.jsonl.
Proxies: one OBJ per mesh with one o convex_NNN object per convex hull. Load each hull as a MuJoCo mesh geom on one body. An attached group of pieces is one body holding all members' hulls.
Mass properties: volume_m3, center_of_mass, and inertia_unit_density (about the centre of mass, object axes) at density 1 kg/m^3; multiply by the material density.
Adjacency: [i, j, area_m2] for pieces sharing a fracture wall.

Selection

Patterns (mode_* and fractured_*) with 2–5 non-empty pieces are eligible. Per object, up to 2 patterns are chosen with seed 20261004: a piece count is drawn uniformly among those available, then that count's most volume-balanced pattern. balance = worst_piece_balance × evenness, where worst_piece_balance = pieces × smallest volume share (near 0 for a chip) and evenness = (1 / Σ share²) / pieces, the effective number of equal pieces as a fraction (near 1/pieces when one piece dominates); 1 means equal pieces. The second pattern has a different count when possible. A failed pattern is replaced by the next most balanced one of the same count (at most 3 attempts per slot). candidates.jsonl.gz lists every pattern's volume_shares and all three scores.

Processing

Decompress with the upstream algorithm (libigl): weld duplicates and resolve duplicated faces.
Normalize; validate watertight, consistent winding, positive volume; otherwise repair (weld → fill holes → voxel fill at 1/72 of the longest extent). A pattern with any piece that needs voxel_fill repair is rejected and its slot moves to the next candidate; an object whose complete mesh needs it is dropped.
CoACD 5.0 mm (real_metric), hulls of at most 128 vertices, resolution 2000, seed 11. The hull cap starts at 32; when a result hits it, CoACD has merged hulls past the 5 mm error to meet it, so the decomposition is repeated with twice the cap, up to 64 (proxy_hull_cap, cap_escalated, cap_attempts). hull_cap_reached marks meshes that still hit 64.
Every hull must compile in MuJoCo; degenerate hulls are dropped only when others remain.

Source

Breaking Bad volume_constrained-everyday_compressed.zip from Dataverse (doi:10.5683/SP3/LZNPKB, file 403902, sha256 23aab6488ed78f2acb472e7ce29e25e6e211c3f4eb8b3b06a415fac4ad5804b5).

Citation

@inproceedings{sellan2022breaking,
  title     = {Breaking Bad: A Dataset for Geometric Fracture and Reassembly},
  author    = {Sell{\'a}n, Silvia and Chen, Yun-Chun and Wu, Ziyi and Garg, Animesh and Jacobson, Alec},
  booktitle = {NeurIPS Datasets and Benchmarks Track},
  year      = {2022}
}
@inproceedings{mo2019partnet,
  title     = {PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding},
  author    = {Mo, Kaichun and Zhu, Shilin and Chang, Angel X. and Yi, Li and Tripathi, Subarna and Guibas, Leonidas J. and Su, Hao},
  booktitle = {CVPR},
  year      = {2019}
}
@techreport{chang2015shapenet,
  title       = {ShapeNet: An Information-Rich 3D Model Repository},
  author      = {Chang, Angel X. and Funkhouser, Thomas and Guibas, Leonidas and Hanrahan, Pat and Huang, Qixing and Li, Zimo and Savarese, Silvio and Savva, Manolis and Song, Shuran and Su, Hao and Xiao, Jianxiong and Yi, Li and Yu, Fisher},
  institution = {Stanford University, Princeton University, Toyota Technological Institute at Chicago},
  number      = {arXiv:1512.03012},
  year        = {2015}
}
@article{wei2022coacd,
  title   = {Approximate Convex Decomposition for 3D Meshes with Collision-Aware Concavity and Tree Search},
  author  = {Wei, Xinyue and Liu, Minghua and Ling, Zhan and Su, Hao},
  journal = {ACM Transactions on Graphics},
  volume  = {41},
  number  = {4},
  year    = {2022}
}

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Paper for justachetan/breaking-bad-strive

ShapeNet: An Information-Rich 3D Model Repository

Paper • 1512.03012 • Published Dec 9, 2015 • 2