diff --git a/README.md b/README.md
index e35a731..eb8fd45 100644
--- a/README.md
+++ b/README.md
@@ -1,23 +1,38 @@
-
LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
-
-
-
-
-
-
-
-
-
-
-
+

-
+
+
LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
+
+Robbyant Team
+
+
+
+
+
+[](https://arxiv.org/abs/2604.14141)
+[](lingbot-map_paper.pdf)
+[](https://technology.robbyant.com/lingbot-map)
+[](https://huggingface.co/robbyant/lingbot-map)
+[](https://www.modelscope.cn/models/Robbyant/lingbot-map)
+[](LICENSE.txt)
+
+
https://github.com/user-attachments/assets/fe39e095-af2c-4ec9-b68d-a8ba97e505ab
+-----
+
+πΊοΈ Meet LingBot-Map! We've built a feed-forward 3D foundation model for streaming 3D reconstruction! ποΈπ
+
+LingBot-Map has focused on:
+
+- **Geometric Context Transformer**: Architecturally unifies coordinate grounding, dense geometric cues, and long-range drift correction within a single streaming framework through anchor context, pose-reference window, and trajectory memory.
+- **High-Efficiency Streaming Inference**: A feed-forward architecture with paged KV cache attention, enabling stable inference at ~20 FPS on 518Γ378 resolution over long sequences exceeding 10,000 frames.
+- **State-of-the-Art Reconstruction**: Superior performance on diverse benchmarks compared to both existing streaming and iterative optimization-based approaches.
+
---
-# Quick Start
+# βοΈ Quick Start
## Installation
@@ -60,13 +75,13 @@ pip install flashinfer-python -i https://flashinfer.ai/whl/cu128/torch2.9/
pip install -e ".[vis]"
```
-# Model Download
+# π¦ Model Download
| Model Name | Huggingface Repository | ModelScope Repository | Description |
| :--- | :--- | :--- | :--- |
| lingbot-map | [robbyant/lingbot-map](https://huggingface.co/robbyant/lingbot-map) | [Robbyant/lingbot-map](https://www.modelscope.cn/models/Robbyant/lingbot-map) | Base model checkpoint (4.63 GB) |
-# Demo
+# π¬ Demo
### Streaming Inference from Images
@@ -114,11 +129,11 @@ python demo.py --model_path /path/to/checkpoint.pt \
--image_folder /path/to/images/ --use_sdpa
```
-# License
+# π License
This project is released under the Apache License 2.0. See [LICENSE](LICENSE.txt) file for details.
-# Citation
+# π Citation
```bibtex
@article{chen2026geometric,
@@ -129,7 +144,7 @@ This project is released under the Apache License 2.0. See [LICENSE](LICENSE.txt
}
```
-# Acknowledgments
+# β¨ Acknowledgments
This work builds upon several excellent open-source projects: