| --- |
| license: mit |
| tags: |
| - photometric-stereo |
| - normal-estimation |
| - lino-unips |
| - lvc |
| library_name: pytorch |
| --- |
| |
| # LiNo-UniPS + LVC checkpoints |
|
|
| Checkpoints for bachelor thesis: **Lighting Variation Confidence (LVC) module on LiNo-UniPS** — Đoàn Anh Vũ, HUST SOICT. |
|
|
| ## Variants |
|
|
| | Folder | Variant | Description | |
| |---|---|---| |
| | `bl_real_*` | `baseline` | Original LiNo-UniPS (no LVC) | |
| | `fl_real_*` | `lvc_full` | LiNo-UniPS + LVC full (loss weighting + feature scaling, **proposed method**) | |
| | `ll_real_*` | `lvc_loss` | LVC loss weighting only (ablation) | |
| | `lf_real_*` | `lvc_feat` | LVC feature scaling only (ablation) | |
|
|
| Filename convention: `{variant_short}_{mode}_{DDMMYYYY}_{HHMMSS}_e{epoch}_v{val_loss}.ckpt` |
|
|
| - `variant_short`: `bl` / `fl` / `ll` / `lf` |
| - `mode`: `smoke` (test) / `real` (production) |
|
|
| ## Training setup |
|
|
| - Dataset: HDLong + (PolarPS future), hosted at [HUST-CVLab-PS/UniPS](https://huggingface.co/datasets/HUST-CVLab-PS/UniPS) |
| - Hardware: NVIDIA RTX 6000 Ada (Vast.ai) |
| - Optimizer: AdamW(lr=1e-4, wd=0.05), StepLR(step=10, gamma=0.8) |
| - Precision: bf16-mixed |
| - K input images: 6 (HDLong) |
| - Hyperparams khác xem wandb run config |
|
|
| ## Acknowledgments |
|
|
| Base architecture & weights: [LiNo-UniPS](https://github.com/houyuanchen111/LINO_UniPS) (MIT License) by H. Li, H. Chen et al. |
| - Paper: [arXiv 2506.18882](https://arxiv.org/abs/2506.18882) |
| - Original model card: [houyuanchen/lino](https://huggingface.co/houyuanchen/lino) |
|
|
| ## License |
|
|
| MIT — same as upstream LiNo-UniPS. |
|
|
