Add model card for OccAny (#1)

- Add model card for OccAny (f4ba818f44f72e3e80dfbb57bd10c3b4c4b67646)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -0,0 +1,75 @@
+---
+license: apache-2.0
+pipeline_tag: image-to-3d
+tags:
+- 3d-occupancy
+- autonomous-driving
+- computer-vision
+---
+
+# OccAny: Generalized Unconstrained Urban 3D Occupancy
+
+OccAny is a unified framework for generalized unconstrained urban 3D occupancy prediction. It is the first unconstrained urban 3D occupancy model capable of operating on out-of-domain uncalibrated scenes to predict and complete metric occupancy coupled with segmentation features from sequential, monocular, or surround-view images.
+
+- **Paper:** [OccAny: Generalized Unconstrained Urban 3D Occupancy](https://huggingface.co/papers/2603.23502)
+- **Project Page:** [https://valeoai.github.io/OccAny](https://valeoai.github.io/OccAny)
+- **Code:** [https://github.com/valeoai/OccAny](https://github.com/valeoai/OccAny)
+
+## Model Variants
+
+This repository hosts checkpoints for two model variants:
+- **OccAny**: Based on Must3R and SAM2.
+- **OccAny+**: Based on Depth Anything 3 and SAM3.
+
+## Sample Usage
+
+After following the installation instructions in the [GitHub repository](https://github.com/valeoai/OccAny), you can run inference using the following commands.
+
+### OccAny+ (Depth Anything 3 + SAM3)
+```bash
+python inference.py \
+  --batch_gen_view 2 \
+  --view_batch_size 2 \
+  --semantic distill@SAM3 \
+  --compute_segmentation_masks \
+  --gen \
+  -rot 30 \
+  -vpi 2 \
+  -fwd 5 \
+  --seed_translation_distance 2 \
+  --recon_conf_thres 2.0 \
+  --gen_conf_thres 6.0 \
+  --apply_majority_pooling \
+  --model occany_da3
+```
+
+### OccAny (Must3R + SAM2)
+```bash
+python inference.py \
+  --batch_gen_view 2 \
+  --view_batch_size 2 \
+  --semantic distill@SAM2_large \
+  --compute_segmentation_masks \
+  --gen \
+  -rot 30 \
+  -vpi 2 \
+  -fwd 5 \
+  --seed_translation_distance 2 \
+  --recon_conf_thres 2.0 \
+  --gen_conf_thres 2.0 \
+  --apply_majority_pooling \
+  --model occany_must3r
+```
+
+## Citation
+
+If you find this work or code useful, please cite the paper:
+
+```bibtex
+@inproceedings{cao2026occany,
+  title={OccAny: Generalized Unconstrained Urban 3D Occupancy},
+  author={Anh-Quan Cao and Tuan-Hung Vu},
+  booktitle={CVPR},
+  year={2026}
+}
+```