Update README.md

YandanYang · Jul 31, 2024 · 0590da6 · 0590da6
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@@ -14,11 +14,11 @@ A curated list of awesome Indoor Scene Synthesis papers.
 <details open>
 <summary>Compositional Mesh Generation</summary>
 
-- [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)
+- [Disentangled 3D Scene Generation with Layout Learning](https://arxiv.org/abs/2402.16936), Epstein, et al., arxiv 2024 | [bibtex](./citations/disentangled.txt)
 - [GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting](https://arxiv.org/abs/2402.07207) | arxiv 2024 | [github](https://github.com/VDIGPKU/GALA3D) | [project](https://gala3d.github.io/)
+- [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)
 - [Compositional 3D Scene Generation using Locally Conditioned Diffusion](https://arxiv.org/abs/2303.12218), arxiv 2023 | [project](https://ryanpo.com/comp3d/) 
 - [GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs](https://arxiv.org/abs/2312.00093), Gao et al., arxiv 2023 | [github](https://github.com/GGGHSL/GraphDreamer) | [bibtext](./citations/graphdreamer.txt)
-- [Disentangled 3D Scene Generation with Layout Learning](https://arxiv.org/abs/2402.16936), Epstein, et al., arxiv 2024 | [bibtex](./citations/disentangled.txt)
 </details>
 </details>
 
@@ -27,31 +27,31 @@ A curated list of awesome Indoor Scene Synthesis papers.
 
 - [SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code](https://arxiv.org/abs/2403.01248) | ICML 2024
 - [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/)
-- [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/)
-- [AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes](https://arxiv.org/abs/2312.06644) | arXiv 2023 | [github](https://github.com/FreddieRao/anyhome_github) | [project](https://freddierao.github.io/AnyHome/)
-- [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) | arxiv 2024 | [github](https://github.com/VDIGPKU/GALA3D) | [project](https://gala3d.github.io/)
 - [SceneTeller: Language-to-3D Scene Generation](https://arxiv.org/pdf/2407.20727) | arxiv 2024 | [project](https://sceneteller.github.io/)
+- [Holodeck: Language Guided Generation of 3D Embodied AI Environments](https://arxiv.org/abs/2312.09067) | arxiv 2023| [github](https://github.com/allenai/Holodeck) | [project](https://yueyang1996.github.io/holodeck/)
+- [AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homes](https://arxiv.org/abs/2312.06644) | arXiv 2023 | [github](https://github.com/FreddieRao/anyhome_github) | [project](https://freddierao.github.io/AnyHome/)
+- [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/)
+
 </details>
 
 
 
 <details open>
 <summary>Model Training without Scene Graph</summary>
-
+- [RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation](https://arxiv.org/abs/2310.10027), Zhao et al., 3DV 2024 | [github](https://github.com/zhao-yiqun/RoomDesigner) | [bibtext](./citations/roomdesigner.txt)
+- [Mixed Diffusion for 3D Indoor Scene Synthesis](https://arxiv.org/abs/2405.21066) | arxiv 2024 | [github](https://github.com/MIT-SPARK/MiDiffusion)
 - [Mixed Diffusion for 3D Indoor Scene Synthesis](https://arxiv.org/pdf/2405.21066) | arxiv 2024 | [github](https://github.com/MIT-SPARK/MiDiffusion?utm_source=catalyzex.com)
 - [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/)
 - [ATISS: Autoregressive Transformers for Indoor Scene Synthesis](https://arxiv.org/pdf/2110.03675) | NIPS 2021 | [github](https://github.com/nv-tlabs/ATISS) | [project](https://research.nvidia.com/labs/toronto-ai/ATISS/)
-- [Learning 3D Scene Priors with 2D Supervision](https://arxiv.org/abs/2211.14157) | CVPR 2023 | [github](https://github.com/yinyunie/ScenePriors) | [peoject](https://yinyunie.github.io/sceneprior-page/)
 - [DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis](https://arxiv.org/abs/2303.14207) | arXiv 2024 | CVPR 2024 | [github](https://github.com/tangjiapeng/DiffuScene) | [project](https://tangjiapeng.github.io/projects/DiffuScene/)
+- [Learning 3D Scene Priors with 2D Supervision](https://arxiv.org/abs/2211.14157) | CVPR 2023 | [github](https://github.com/yinyunie/ScenePriors) | [peoject](https://yinyunie.github.io/sceneprior-page/)
 - [LEGO-Net: Learning Regular Rearrangements of Objects in Rooms](https://arxiv.org/pdf/2301.09629) | CVPR 2023 | [github](https://github.com/QiuhongAnnaWei/LEGO-Net) | [project](https://ivl.cs.brown.edu/research/lego-net.html)
 - [CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding](https://arxiv.org/abs/2303.03565) | arXiv 2023
 - [Learning 3D Scene Priors with 2D Supervision](https://arxiv.org/abs/2211.14157) | CVPR 2023 | [github](https://github.com/yinyunie/ScenePriors) | [project](https://yinyunie.github.io/sceneprior-page/)
 - [SceneFormer: Indoor Scene Generation with Transformers](https://arxiv.org/abs/2012.09793) | 3DV 2021 | [github](https://github.com/cy94/sceneformer) | [project](https://xinpeng-wang.github.io/sceneformer/)
 - [Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models](https://arxiv.org/abs/1811.12463) | CVPR 2019
 - [Scene Synthesis via Uncertainty-Driven Attribute Synchronization](https://arxiv.org/abs/2108.13499) | ICCV 2021 | [github](https://github.com/brownvc/fast-synth)
-- [RoomDesigner: Encoding Anchor-latents for Style-consistent and Shape-compatible Indoor Scene Generation](https://arxiv.org/abs/2310.10027), Zhao et al., 3DV 2024 | [github](https://github.com/zhao-yiqun/RoomDesigner) | [bibtext](./citations/roomdesigner.txt)
-- [Mixed Diffusion for 3D Indoor Scene Synthesis](https://arxiv.org/abs/2405.21066) | [github](https://github.com/MIT-SPARK/MiDiffusion)
 </details>
 
 
@@ -68,16 +68,16 @@ A curated list of awesome Indoor Scene Synthesis papers.
 <details open>
 <summary>Using 2D Prior</summary>
 
-- [Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors](https://arxiv.org/abs/2406.00687) | [project](https://lay-a-scene.github.io/)
+- [Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors](https://arxiv.org/abs/2406.00687) | arxiv 2024 | [project](https://lay-a-scene.github.io/)
  </details>
 
 <details open>
 <summary>Procedure / Human Design Rules</summary>
 
-- [Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation](https://arxiv.org/abs/2406.11824)  | [github](https://github.com/princeton-vl/infinigen) | [project](https://infinigen.org/)
-- [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/)
-- [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/)
-- [ProcTHOR: Large-Scale Embodied AI Using Procedural Generation](https://procthor.allenai.org/), Deitke et al., NeurIPS 2022 |  [github](https://github.com/allenai/procthor) | [bibtex](./citations/procthor.txt)
+- [Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation](https://arxiv.org/abs/2406.11824)  | CVPR 2024 |[github](https://github.com/princeton-vl/infinigen) | [project](https://infinigen.org/)
+- [Holodeck: Language Guided Generation of 3D Embodied AI Environments](https://arxiv.org/abs/2312.09067) | arxiv 2024 | [github](https://github.com/allenai/Holodeck) | [project](https://yueyang1996.github.io/holodeck/)
+- [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/)
+- [ProcTHOR: Large-Scale Embodied AI Using Procedural Generation](https://procthor.allenai.org/) | NeurIPS 2022 | [github](https://github.com/allenai/procthor) | [bibtex](./citations/procthor.txt)
 </details>
 
 
@@ -97,8 +97,8 @@ A curated list of awesome Indoor Scene Synthesis papers.
 <details open>
 <summary>Condition on 2D Image</summary>
 
-- [Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image](https://arxiv.org/abs/2002.12212) | CVPR 2020 | [github](https://github.com/GAP-LAB-CUHK-SZ/Total3DUnderstanding) | [project](https://yinyunie.github.io/Total3D/)
 - [Holistic 3D Scene Understanding from a Single Image with Implicit Representation](https://arxiv.org/pdf/2103.06422) | CVPR 2021 | [github](https://github.com/chengzhag/Implicit3DUnderstanding) |[project](https://chengzhag.github.io/publication/im3d/)
+- [Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image](https://arxiv.org/abs/2002.12212) | CVPR 2020 | [github](https://github.com/GAP-LAB-CUHK-SZ/Total3DUnderstanding) | [project](https://yinyunie.github.io/Total3D/)
 </details>
 
 
@@ -120,9 +120,6 @@ A curated list of awesome Indoor Scene Synthesis papers.
 </details>
 
 
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 ## Datasets
 
 <details open>