| # RoboCloth — Artifact Bundle (checkpoints, comparison datasets, render assets) |
|
|
| Companion artifact for the RoboCloth two-stage neural BRDF paper. Training, |
| evaluation, and rendering instructions live in the code repository |
| (`milestone_instruction.md` for the core pipeline, `full_experiments.md` for |
| the baseline comparison experiments). |
|
|
| ## Layout |
|
|
| ``` |
| checkpoints/stage1/{Ours,Bonn,MERL}.ckpt # pretrained stage-1 BRDF decoders, by training source |
| # Ours = RoboCloth, Bonn = UBOFAB19, MERL |
| checkpoints/stage2/RoboCloth/<mat>/ # trained stage-2 models, RoboCloth test materials |
| {Ours,Bonn,MERL,PBR}_epoch<N>.ckpt # 145 / 226 / 314 / 370 / 452 |
| checkpoints/stage2/UBO/<mat>/ # stage-2 models, 12 held-out UBO2014 materials |
| checkpoints/stage2/Bonn/<mat>/ # stage-2 models, 5 held-out Bonn materials |
| datasets/MERL/brdfs/*.binary # MERL measured-BRDF database (103 materials) |
| datasets/UBO2014/*.btf # 12 held-out UBO2014 BTFs (W400xH400, L151xV151) |
| render_assets/onBars01_st_hp.ply # draped-cloth mesh (qualitative renders) |
| render_assets/pole_spheres_v4.obj # chrome-bar mesh (qualitative renders) |
| ``` |
|
|
| Stage-2 checkpoint filenames encode the stage-1 decoder source |
| (`Ours`/`Bonn`/`MERL`) or the analytic Disney baseline (`PBR`), and the |
| training epoch of the released model. |
|
|
| ## Download |
|
|
| ```bash |
| pip install -U "huggingface_hub[cli]" |
| huggingface-cli download koalapenguin/RoboCloth --repo-type dataset \ |
| --include "checkpoints/*" "render_assets/*" --local-dir robocloth_artifacts |
| ``` |
|
|
