Update README.md

README.md

@@ -6,9 +6,10 @@ A curated list of awesome Indoor Scene Synthesis papers, inspired by [awesome-Ne
 
 
 
-#### [How to submit a pull request?](https://github.com/hitcslj/Awesome-AIGC-3D/blob/main/how-to-PR.md)
-
+#### How to submit a pull request?
+Modify the README.md and follow the format TITLE, AUTHOR, CONFERENCE YEAR | OPTIONAL LINK | BIBTEX. For example:
 
+- [PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI](https://arxiv.org/abs/2404.09465) | CVPR 2024 | [github](https://github.com/PhyScene/PhyScene/tree/main) |[project](https://physcene.github.io/)
 
 ## Table of Contents
 
@@ -31,7 +32,7 @@ A curated list of awesome Indoor Scene Synthesis papers, inspired by [awesome-Ne
 - [I-Design: Personalized LLM Interior Designer](https://arxiv.org/abs/2404.02838), arxiv 2024 | [github](https://github.com/atcelen/IDesign/?tab=readme-ov-file) | [project](https://atcelen.github.io/I-Design/)
 - [SceneWiz3D: Towards Text-guided 3D Scene Composition](https://arxiv.org/abs/2312.08885), Zhang et al., arxiv 2023 | [github](https://github.com/zqh0253/SceneWiz3D) | [bibtext](./citations/scenewiz3d.txt)
 - [AnyHome]
-- [PhyScene]
+- [PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI](https://arxiv.org/abs/2404.09465) | CVPR 2024 | [github](https://github.com/PhyScene/PhyScene/tree/main) |[project](https://physcene.github.io/)
 - [Holodeck: Language Guided Generation of 3D Embodied AI Environments](https://arxiv.org/abs/2312.09067) | [github](https://github.com/allenai/Holodeck) | [project](https://yueyang1996.github.io/holodeck/)
 - [LayoutGPT: Compositional Visual Planning and Generation with Large Language Models](https://arxiv.org/abs/2305.15393), arxiv 2023| [github](https://github.com/weixi-feng/LayoutGPT) | [project](https://layoutgpt.github.io/)
 - [GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting](https://arxiv.org/abs/2402.07207), Zhou et al., arxiv 2024 | [github](https://github.com/VDIGPKU/GALA3D) | [bibtext](./citations/gala3d.txt)
@@ -102,9 +103,6 @@ A curated list of awesome Indoor Scene Synthesis papers, inspired by [awesome-Ne
 <details open>
 <summary>Dataset</summary>
 
-- [Habitat Synthetic Scenes Dataset (HSSD):An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation](https://arxiv.org/abs/2306.11290) | CVPR 2024 | [github](https://github.com/3dlg-hcvc/hssd/) | [project](https://3dlg-hcvc.github.io/hssd/)
-- [3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics](https://arxiv.org/abs/2011.09127) | ICCV 2021 | [project](https://tianchi.aliyun.com/specials/promotion/alibaba-3d-scene-dataset)
-
 </details>
 
 </details>
@@ -176,6 +174,7 @@ A curated list of awesome Indoor Scene Synthesis papers, inspired by [awesome-Ne
 - [Pose2Room: Understanding 3D Scenes from Human Activities](https://arxiv.org/abs/2112.03030) | ECCV 2022 | [github](https://arxiv.org/abs/2112.03030) | [project](https://yinyunie.github.io/pose2room-page/)
 - [Human-centric Indoor Scene Synthesis Using Stochastic Grammar](https://arxiv.org/abs/1808.08473v1) | CVPR 2018
 - [Rearrange Indoor Scenes for Human-Robot Co-Activity](https://arxiv.org/abs/2303.05676) | ICRA 2023 | [github](https://github.com/Rayckey/scene_coactivity) | [project](https://sites.google.com/view/coactivity)
+- [MIME: Human-Aware 3D Scene Generation](https://arxiv.org/abs/2212.04360) | CVPR 2023 | [github](https://github.com/yhw-yhw/MIME) | [project](https://mime.is.tue.mpg.de/) 
 </details>
 
 
@@ -209,8 +208,13 @@ A curated list of awesome Indoor Scene Synthesis papers, inspired by [awesome-Ne
 
 
 ## Benchmarks and Datasets
+- Scene
+- [Habitat Synthetic Scenes Dataset (HSSD):An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation](https://arxiv.org/abs/2306.11290) | CVPR 2024 | [github](https://github.com/3dlg-hcvc/hssd/) | [project](https://3dlg-hcvc.github.io/hssd/)
+- [3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics](https://arxiv.org/abs/2011.09127) | ICCV 2021 | [project](https://tianchi.aliyun.com/specials/promotion/alibaba-3d-scene-dataset)
+- [ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes]
 
-- [Objaverse-XL](https://objaverse.allenai.org/), Deitke et al., NeurIPS 2023 | [github](https://github.com/allenai/objaverse-xl) | [bibtext](./citations/objaverse-xl.txt) 
+- Object
+- [Objaverse-XL](https://objaverse.allenai.org/) | NeurIPS 2023 | [github](https://github.com/allenai/objaverse-xl)
 
 ## Talks
 - [AI 3D Generation, explained](https://www.youtube.com/watch?v=EoAm1yZR-ao), Jia-Bin Huang