Add pipeline tag and expand model card

README.md

@@ -1,4 +1,37 @@
 ---
 license: apache-2.0
+pipeline_tag: image-to-3d
 ---
-Paper: arxiv.org/abs/2608.27529 
+
+# ABot-Recon
+
+ABot-Recon is a streaming 3D reconstruction model that estimates camera motion and scene geometry online from extremely long videos using only a fixed local context of 12 frames. It predicts a point map in the current camera coordinate system and an adjacent-frame relative pose, then composes these local predictions into a global reconstruction through sequential composition.
+
+**Paper:** [Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction](https://arxiv.org/abs/2608.27529)  
+**Project page:** [ABot-Recon](https://amap-cvlab.github.io/ABot-Recon-html/)  
+**Code:** [github.com/amap-cvlab/ABot-Recon](https://github.com/amap-cvlab/ABot-Recon)
+
+## Quick Start
+
+```python
+from pathlib import Path
+from abot_recon import ABotRecon
+
+images = sorted(Path("examples/images").glob("*.jpg"))
+
+model = ABotRecon.from_pretrained(
+    "acvlab/ABot-Recon",
+    device="cuda",
+    attention_backend="auto",
+    loop_closure=False,
+)
+
+result = model.infer(images)
+
+trajectory = result.camera_poses
+relative_poses = result.relative_poses
+local_points = result.local_points
+confidence = result.confidence
+```
+
+For a full description of usage options, please refer to the [GitHub README](https://github.com/amap-cvlab/ABot-Recon).