naver / blast3r-depth

BLASt3R — depth model

Multi-channel depth model for BLASt3R , a method for bundle-adjusted 3D reconstruction and visual SLAM from image collections and video. Code: github.com/naver/blast3r .

This is one of the two checkpoints BLASt3R needs. The other is the matching model, naver/blast3r-matcher .

Training of this checkpoint was initialized from DINOv3 pretrained weights, so these weights are a derivative work of DINOv3 — see License below.

Contents

config.json          model class and its arguments
model.safetensors    the weights

config.json names the class and hyperparameters, so loading a checkpoint never unpickles anything.

Usage

from huggingface_hub import snapshot_download

ckpt_match = snapshot_download('naver/blast3r-matcher')
ckpt_depth = snapshot_download('naver/blast3r-depth')

Then run reconstruction from the BLASt3R code repository :

python scripts/run_offline.py \
  --images /path/to/images \
  --output /path/to/output \
  --ckpt_match "$CKPT_MATCH" \
  --ckpt_depth "$CKPT_DEPTH" \
  --mono_cam

License

Released under the NAVER non-commercial license ( LICENSE ), which covers the code and these checkpoints. Third-party subcomponents, the datasets these weights were trained on, and the pretrained weights they were initialized from are acknowledged in NOTICE ; dataset terms pass through to the weights.

This checkpoint was initialized from DINOv3 weights, made available by Meta Platforms, Inc. under the DINOv3 License . Its use is therefore additionally subject to that license, including its restrictions on military, warfare, nuclear, espionage and weapons-related use and on activities subject to Trade Controls. As Section 1.b of that license requires, a copy is distributed here as DINOv3_LICENSE.md .