Add two ICLR papers about 3d unified understanding and generation.

README.md

@@ -24,6 +24,7 @@ This is an active repository, you can watch for following the latest advances. I
 ## Table of Contents
 
 - [Awesome-LLM-3D](#awesome-llm-3D)
+  - [3D Unified Understanding and Generation (LLM)](#3d-unified-understanding-and-generation-via-llm)
   - [3D Understanding (LLM)](#3d-understanding-via-llm)
   - [3D Understanding (other Foundation Models)](#3d-understanding-via-other-foundation-models)
   - [3D Reasoning](#3d-reasoning)
@@ -33,12 +34,20 @@ This is an active repository, you can watch for following the latest advances. I
   - [Contributing](#contributing)
 
 
+## 3D Unified Understanding and Generation via LLM
+
+|  Date |       Keywords       |    Institute (first)   | Paper                                                                                                                                                                               | Publication | Others |
+| :-----: | :------------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------: | :---------:
+| 2025-11-07 | Omni-View | PKU | [Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images](https://arxiv.org/abs/2511.07222) | ICLR 2026 | [github](https://github.com/AIDC-AI/Omni-View) |
+| 2025-08-16 | UniUGG | FDU | [UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding](https://arxiv.org/abs/2508.11952) | ICLR 2026 | [github](https://github.com/fudan-zvg/UniUGG) |
 
 ## 3D Understanding via LLM
 
 |  Date |       Keywords       |    Institute (first)   | Paper                                                                                                                                                                               | Publication | Others |
 | :-----: | :------------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------: | :---------:
 | 2025-11-27 | G<sup>2</sup>VLM | Shanghai AI Lab | [G<sup>2</sup>VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning](https://arxiv.org/pdf/2511.21688) | Arxiv | [github](https://github.com/InternRobotics/G2VLM) |
+| 2025-11-07 | Omni-View | PKU | [Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images](https://arxiv.org/abs/2511.07222) | ICLR 2026 | [github](https://github.com/AIDC-AI/Omni-View) |
+| 2025-08-16 | UniUGG | FDU | [UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding](https://arxiv.org/abs/2508.11952) | ICLR 2026 | [github](https://github.com/fudan-zvg/UniUGG) |
 | 2025-07-31 | 3D-R1 | PKU | [3D-R1: Enhancing Reasoning in 3D VLMs for Unified Scene Understanding](https://arxiv.org/abs/2507.23478) | Arxiv | [project](https://aigeeksgroup.github.io/3D-R1/) |
 | 2025-06-11 | LEO-VL | BIGAI | [LEO-VL: Efficient Scene Representation for Scalable 3D Vision-Language Learning](https://arxiv.org/abs/2506.09935) | Arxiv | [project](https://leo-vl.github.io/) |
 | 2025-06-02 | 3DRS | HKU | [MLLMs Need 3D-Aware Representation Supervision for Scene Understanding](https://arxiv.org/html/2506.01946v1) | Arxiv | [project](https://visual-ai.github.io/3drs/) |
@@ -143,6 +152,8 @@ This is an active repository, you can watch for following the latest advances. I
 ## 3D Generation
 |  Date |       keywords       |    Institute    | Paper                                                                                                                                                                               | Publication | Others |
 | :-----: | :------------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :---------: | :---------: 
+| 2025-11-07 | Omni-View | PKU | [Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images](https://arxiv.org/abs/2511.07222) | ICLR 2026 | [github](https://github.com/AIDC-AI/Omni-View) |
+| 2025-08-16 | UniUGG | FDU | [UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding](https://arxiv.org/abs/2508.11952) | ICLR 2026 | [github](https://github.com/fudan-zvg/UniUGG) |
 | 2024-11-14 |         LLaMA-Mesh         |     THU     | [LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models](https://arxiv.org/html/2411.09595v1)                                                                                                  |Arxiv|  [project](https://research.nvidia.com/labs/toronto-ai/LLaMA-Mesh/) |  
 | 2023-11-29 |         ShapeGPT         |     Fudan University     | [ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model](https://arxiv.org/pdf/2311.17618.pdf)                                                                                                  |Arxiv|  [github](https://github.com/OpenShapeLab/ShapeGPT) |                                                                                              | Arxiv  |  [github]() |
 | 2023-11-27|         MeshGPT         |     TUM     | [MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers](https://arxiv.org/pdf/2311.15475.pdf)                                                                                                  |Arxiv |  [project](https://nihalsid.github.io/mesh-gpt/) |