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license: apache-2.0
library_name: pytorch
tags:
- world-model
- aerial-navigation
- diffusion
- computer-vision
---
# ANWM
Aerial Navigation World Model checkpoint released with the paper
[Aerial World Model for Long-horizon Visual Generation and Navigation in 3D Space](https://arxiv.org/abs/2512.21887).
- **Code**: [https://github.com/EmbodiedCity/ANWM.code](https://github.com/EmbodiedCity/ANWM.code)
- **Dataset**: [EmbodiedCity/ANWM-Dataset](https://huggingface.co/datasets/EmbodiedCity/ANWM-Dataset)
## Files
| File | Steps | Notes |
|---|---:|---|
| `0200000.pth.tar` | 200,000 | Paper / released model (`config/anwm.yaml`) |
## Quick start
Clone the code, then download this checkpoint into the path expected by `infer.py`:
```bash
git clone https://github.com/EmbodiedCity/ANWM.code.git
cd ANWM.code
huggingface-cli download EmbodiedCity/ANWM 0200000.pth.tar \
--local-dir logs/anwm_cdit_airvln/checkpoints
# optional check
python scripts/check_environment.py --require-checkpoint
# inference
torchrun --standalone --nproc_per_node=1 infer.py \
--exp config/anwm.yaml \
--ckp 0200000 \
--datasets airvln_16 \
--eval_type rollout \
--rollout_fps_values 1,4
```
This places the weight at:
```text
logs/anwm_cdit_airvln/checkpoints/0200000.pth.tar
```
## Related
- Code: https://github.com/EmbodiedCity/ANWM.code
- Dataset: https://huggingface.co/datasets/EmbodiedCity/ANWM-Dataset
- Model: https://huggingface.co/EmbodiedCity/ANWM
- Paper: https://arxiv.org/abs/2512.21887
|