--- license: apache-2.0 pipeline_tag: image-to-3d tags: - 3d - multimodal - mllm - qwen3-vl - hunyuan3d - mesh-generation - 3d-captioning - image-to-3d - text-to-3d - icml-2026 language: - en papers: - https://huggingface.co/papers/2601.21798 --- # CG-MLLM (v0.1) **CG-MLLM: Captioning and Generating 3D Content via Multi-modal Large Language Models** (ICML 2026) CG-MLLM is a 3D multimodal large language model built on a **Qwen3-VL** backbone and a Hunyuan3D-2.1 VAE, for 3D captioning and 3D generation. This repository is the **v0.1 multi-task** checkpoint, on **Qwen3-VL-2B-Instruct**. It covers image-to-3D, text-to-3D, image understanding, and 3D understanding. The **4B image-to-3D** checkpoint (Qwen3-VL-4B, specialized on HY3D-Bench) is at [JreamH/CGMLLM-4B-i2o](https://huggingface.co/JreamH/CGMLLM-4B-i2o). ## Links - **Code (how to run):** https://github.com/dreaming-huang/CG-MLLM - **Paper (arXiv):** https://arxiv.org/abs/2601.21798 - **Hugging Face Papers:** https://huggingface.co/papers/2601.21798 - **Project page:** https://cv.jream.top/CG-MLLM-page/ - **ICML poster:** https://icml.cc/virtual/2026/poster/63909 ## Model Details | Item | Value | | --- | --- | | Version | v0.1, multi-task | | Vision-language backbone | Qwen3-VL-2B-Instruct | | 3D latent tokenizer | Hunyuan3D-2.1 VAE | | Tasks | Image-to-3D, text-to-3D, image understanding, 3D understanding | | Checkpoint file | `ema.safetensors` | | Venue | ICML 2026 | | License | Apache-2.0 | | Authors | Junming Huang, Chi Wang, Letian Li, Guangkai Xu, Donglin Huang, Hao Chen, Qiang Dai, Weiwei Xu | | Affiliations | Zhejiang University; LIGHTSPEED | Usage is documented in the [GitHub repository](https://github.com/dreaming-huang/CG-MLLM). This card does not duplicate the inference commands. ## Citation If you find this work useful, please cite: ```bibtex @article{huang2026cg, title={CG-MLLM: Captioning and Generating 3D content via Multi-modal Large Language Models}, author={Huang, Junming and Wang, Chi and Li, Letian and Xu, Guangkai and Huang, Donglin and Chen, Hao and Dai, Qiang and Xu, Weiwei}, journal={arXiv preprint arXiv:2601.21798}, year={2026} } ``` ## Acknowledgments This work builds on [Qwen3-VL](https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct), [BAGEL](https://github.com/ByteDance-Seed/Bagel), and the [Hunyuan3D-2.1](https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1) shape VAE. Please follow their licenses when using those components.