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+
+The photo is from [this URL](https://commons.wikimedia.org/wiki/Category:360%C2%B0_panoramas_with_equirectangular_projection#/media/File:Braunschweig_Sankt-%C3%84gidien_Panorama_02.jpg)
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+ -blue){kind=icon}
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+https://github.com/user-attachments/assets/8f9ae680-659d-4f7f-82e2-b9ed9d6b988a
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+-blue){kind=icon}
+
+
+
+## 🌟 Features
+
+* **Accurate 3D geometry estimation**: Estimate point maps & depth maps & [normal maps](docs/normal.md) from open-domain single images with high precision -- all capabilities in one model, one forward pass.
+* **Optional ground-truth FOV input**: Enhance model accuracy further by providing the true field of view.
+* **Flexible resolution support**: Works seamlessly with various resolutions and aspect ratios, from 2:1 to 1:2.
+* **Optimized for speed**: Achieves 60ms latency per image (A100 or RTX3090, FP16, ViT-L). Adjustable inference resolution for even faster speed.
+
+## ✨ News
+
+***(2025-10-16)***
+* Updated training code for MoGe-2.
+
+***(2025-06-10)***
+
+* ❗**Released MoGe-2**, a state-of-the-art model for monocular geometry, with these new capabilities in one unified model:
+ * point map prediction in **metric scale**;
+ * comparable and even better performance over MoGe-1;
+ * significant improvement of **visual sharpness**;
+ * high-quality [**normal map** estimation](docs/normal.md);
+ * lower inference latency.
+
+## 📦 Installation
+
+### Install via pip
+
+```bash
+pip install git+https://github.com/microsoft/MoGe.git
+```
+
+### Or clone this repository
+
+```bash
+git clone https://github.com/microsoft/MoGe.git
+cd MoGe
+pip install -r requirements.txt # install the requirements
+```
+
+Note: MoGe should be compatible with most requirements versions. Please check the `requirements.txt` for more details if you encounter any dependency issues.
+
+## 🤗 Pretrained Models
+
+Our pretrained models are available on the huggingface hub:
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