README.md

metadata

license: cc-by-4.0
pretty_name: >-
  Sweep world models and stereo-sections artifacts (2D-to-3D microstructure
  generation)

Stereo-sections artifacts

Large artifacts of the project behind "Sweep World Models: Identifiability and Calibrated Transition Testing for 2D-to-3D Microstructure Generation" (CVPR 2027 submission), and of its earlier stages ("What can sections say about volumes?": slice-to-volume generation of 3D two-phase microstructure from 2D sections, identifiability analysis, StereoCal calibration, few-section protocol E6). Code, paper sources, the complete registered method log and all result JSONs are in the companion GitHub repository (private during review: rayjang/stereo-sections).

Layout (tar files are plain tar cf archives of the directories named; untar in place next to the code):

• ckpt/ -- every checkpoint (ckpt_*.pt, ckpt_*.npz): cross-material 3D EDM priors (ckpt_blibC_3d_cond3long.pt, ckpt_blibM_3d_cond3long.pt with their descriptor normalisation .npz), per-target 2D section / pair models, the StereoCal policies (ckpt_{T}_3d_cal_*.pt) and every earlier variant.
• results/ -- per-run result files (cal_*.json, calscore_*.json, maintab/, tables, logs), maintab/ -- metric caches.
• local/data.tar -- the preprocessed binary crops of all targets (data/{T}_train.npy = 400 random 32^3 crops of the sectioned half, data/{T}_test.npy = non-overlapping cubes of the held-out half, bands, fraction laws, the few-section budget files data/{T}_k{k}_d{d}.npz and data/{T}_trainvol.npy).
• local/SliceGAN.tar, remote/SliceGAN.tar -- official SliceGAN trainings (generators, logs, example tifs).
• local/microlad_runs.tar -- MicroLad baseline runs.
• local/samples_{prefix}.tar, remote/samples_{prefix}.tar -- every generated pool (samples/{T}_{stem}.npy, float16, +1 pore / -1 solid); remote/ holds the pools and checkpoints produced on the second machine (cathode targets). Targets: carbonates bfKetton, bfIndiana, bfPortland, bfEstaillades, bfKME90583Cb; cathodes beNMCsg, beMJ1cath, beTangcath, beN1u, beN1c, beN2u, beN2c, beN3u, beN3c, beN4c; development sandstones bcBerea, bcBuffBerea, bcClashach. beNMCsg, the NMC example volume distributed with SliceGAN, is a 252x252x253 crop of the NREL cathode behind beN2u with the carbon-binder domain counted as solid (beN2u counts it with the pores), so the fifteen paper targets come from fourteen scans. Source scans are public datasets (see the paper's references); the 10-13 release above stores only derived crops and generated volumes. The 10-25 release below also mirrors source data and public pretrained weights.

Release 2026-10-25 (release_20261025/)

Every artifact that the GitHub repository does not hold and that was produced or changed after the 10-13 release, as raw files at their workspace paths (the paper at that date).

• release_20261025/local/ -- first machine: kikuchi/samples/ (generated pools, 128 volumes of 64^3 per stem: official SliceGAN *_sgoff10T*, pair critic *_slab2_*, fixed-target and projected-critic routes *_swm_* / *_pwm_*, the verifier-RL arms, the fragmented control *_official_s0_bk_*, and earlier pools), kikuchi/SliceGAN/Trained_Generators/ (all trained generators, with epoch-8/9 snapshots where saved), checkpoints and caches at the top of kikuchi/, kikuchi/data/, kikuchi/real/ (the source X-ray CT scans as downloaded), baselines/, microlad_runs/, ckpt/, results/, data/.
• release_20261025/remote/ -- second machine, same layout. Directories holding many small files are packed as one plain tar each (baselines/DimExDAM_gb10.tar, baselines/TPDM.tar, microlad_runs/{target}.tar); each tar's member list is the .tar.txt next to it.
• The four official 100-epoch SliceGAN runs on bfEstaillades, bfPortland, beN2c and beN4c were stopped at epochs 73 to 85 (method log, 2026-10-25 17:34); their snapshots and last generator are included but are not 100-epoch results.

Third-party material: kikuchi/real/ and data/ contain copies of public datasets (X-ray CT scans, materials databases, CIFAR-10), and ckpt/ and baselines/ contain public pretrained weights, mirrored as they were used in the experiments. Their original licenses and citations apply (see the paper's references). The CC-BY-4.0 license above covers the files produced by this project. The four Imperial carbonate scans (figshare 1230044 to 1230047, CC BY 4.0) are courtesy of Qatar Carbonates and Carbon Storage Research Centre, Imperial College London.

Release 2026-11-02 (release_20261102/)

Everything that the GitHub repository does not hold and that was still missing here on 2026-11-02, from both machines, as raw files at their workspace paths. A file already present in an earlier release with the same path and size is not repeated.

• release_20261102/local/ -- first machine: kikuchi/samples/ (generated pools of the final paper: SliceGAN over seeds and epoch snapshots *_sgoff10_s{1,2}_ep{8,9,10}T*, SliceGAN at its published 100-epoch stop *_sgoff100*, the pair critic, MicroLad, the Gaussian random field *_grf*, the fragmented control and the route pools), kikuchi/SliceGAN/ (trained generators not in earlier releases), world-model and encoder checkpoints at the top of kikuchi/, kikuchi/data/, kikuchi/data64tmp/, kikuchi/kbudget/ arrays (perturbation twins and score caches), kikuchi/real/ (source scans; the Bentheim slice stack as kikuchi/real/bentheim.tar) and microlad_runs/.
• release_20261102/remote/ -- second machine, same layout: generated pools, SliceGAN generators, MicroLad runs (each target's training slices as microlad_runs/{target}/train.tar, the default-schedule runs as microlad_runs/{target}_pub/), and baseline material (baselines/DimExDAM_gb10/data/bthr/{x,y,z}.tar, baselines/TPDM/dataset_sample/AAPM_256_CUBE_SCLIP_XY_L067.tar).
• Every tar is a plain tar cf archive named after the folder it replaces; its member list (size and path) is the .tar.txt next to it. Untar inside the folder that contains the tar.
• Added on 2026-11-03: the 100-epoch SliceGAN runs on bfEstaillades and bfPortland, which finished on 2026-11-02 (generators with the epoch-98 and epoch-99 copies, training logs, and the T-protocol pools *_sgoff100_s0_ep{98,99,100}T*).
• Not included: LaTeX build products.

Pools are stored as int8 or float16 arrays of shape (volumes, 64, 64, 64) with +1 pore and -1 solid. The selection rule of each release, the registered experiments that produced every file and all result tables are in method_log.md of the GitHub repository.