alessandrolumiad/AeroSplat-4D
Updated • 73
Weights for MambaSplat-4D (ACCV 2026), a model that classifies sequences of 3D Gaussian Splats (bird, drone, airplane, helicopter) with predictions that are rotation-invariant by construction, even when every frame is rotated independently. Data: AeroSplat-4D.
Paper · Project page · Code
z-trained checkpoints, best seed per run; the paper reports the seed mean (held-out z/z accuracy, %).
| file | paper table | seed | acc. | paper |
|---|---|---|---|---|
mambasplat_X_z.pt |
main Tab. 1, 91 assets | 42, best of 3 | 81.7 | 80.7 ± 1.2 |
mambasplat_C_z.pt |
main Tab. 1, 91 assets | 42, best of 3 | 80.4 | 76.5 ± 5.8 |
open/mambasplat_X_z.pt |
supp. Tab. 1, 52 public assets | 1, best of 5 | 80.4 | 75.8 ± 4.1 |
open/mambasplat_C_z.pt |
supp. Tab. 1, 52 public assets | 2, best of 5 | 67.3 | 58.8 ± 10.2 |
X: all 14 Gaussian attributes; C: centres only (dataset.feature_mode=C). Evaluate on the
public test split with open/ only; the 91-asset models trained on 5 of its 13 test assets.
@inproceedings{verdiesen2026mambasplat4d,
title = {{MambaSplat-4D}: Rotation-Invariant {4D} Classification of {Gaussian} Splatting Sequences},
author = {Verdiesen, Alessandro and Hofstee, H. Peter and Al-Ars, Zaid},
booktitle = {Asian Conference on Computer Vision (ACCV)},
year = {2026}
}