--- license: other tags: - 3d - mesh - face-recognition - diffusionnet - topology-robustness - pytorch library_name: pytorch --- # WBES FaceEmbedding DN Mixed Topology v1 This model repository contains the current top WBES-FaceEmbedding submission checkpoint for the NeurIPS 2026 research codebase. ## Checkpoint - Model branch: `dn_mixed_topology_v1` - Run: `mixed_xtopo_rank0p5_id0p25_bs5_best` - Selected checkpoint: `best_by_xtopo_mesh_clean.pth` - Local source path: `face_embedding/gt_encdec/remeshing/intrinsic/newdata/dn_mixed_topology_v1/mixed_xtopo_rank0p5_id0p25_bs5_best/checkpoints/best_by_xtopo_mesh_clean.pth` ## Included Files - `best_by_xtopo_mesh_clean.pth`: selected PyTorch checkpoint. - `config.json`: training and architecture configuration copied from the run directory. - `best_by_xtopo_mesh_clean.txt`: checkpoint-selection marker. - `train_log.csv`: training log. - `xtopo_mesh_log.csv`: cross-topology mesh validation log. ## Selection Marker The stored selection marker reports: - `best_epoch=82` - `best_xtopo_mesh_clean=0.7483693322699105` The same run also stores: - `best_spearman_clean=0.8234182929370094` - `best_auc_r=1.0041532552751473` ## Data Relationship This checkpoint was trained against operator-enriched REMESH data in the local research workspace. The public mesh-only/no-operator dataset release is separate: - Dataset: `Pampaj/wbes-faceembedding-noops` - URL: That public dataset contains mesh-only `.npz` archives and does not include intrinsic operators, checkpoints, or heavy pair-level evaluation dumps. ## Integrity - `best_by_xtopo_mesh_clean.pth` SHA256: `0b1578a55e86ea5ed349cc59ae7921a24f5325d45e427f0582ef36f5d1088e62` - `config.json` SHA256: `61f428d0c6f80cb8c6af75cff36c608b8946617b90c81dc1f4222cf4b9b4cbd2` ## Intended Use This checkpoint is intended for reproducing the topology-robust face embedding experiments in the WBES-FaceEmbedding repository, especially the FaceBench and FaceVerse evaluation paths documented there.