---
pipeline_tag: image-text-to-text
library_name: transformers
license: apache-2.0
---

# 3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding

**3D-R1** is a foundation model designed to enhance the reasoning capabilities of 3D Vision-Language Models (VLMs) for unified scene understanding. It addresses limitations in existing 3D VLMs by leveraging a high-quality synthetic dataset (Scene-30K), incorporating RLHF policies with novel reward functions (perception, semantic similarity, format), and introducing a dynamic view selection strategy. This approach aims to improve robust reasoning and generalization in 3D scene understanding.

The model was presented in the paper:
-   **Paper**: [3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding](https://huggingface.co/papers/2507.23478)

For more details, visit the project page and code repository:
-   **Project Page**: [https://aigeeksgroup.github.io/3D-R1](https://aigeeksgroup.github.io/3D-R1)
-   **Code**: [https://github.com/AIGeeksGroup/3D-R1](https://github.com/AIGeeksGroup/3D-R1)