From 65e462caf0669e7baa425878441a4a7e6e42f8b9 Mon Sep 17 00:00:00 2001 From: Yandan Yang Date: Mon, 22 Jul 2024 17:34:09 +0800 Subject: [PATCH] Update README.md --- README.md | 36 +++++++++++++----------------------- 1 file changed, 13 insertions(+), 23 deletions(-) diff --git a/README.md b/README.md index be11dd1..0b9e9fd 100644 --- a/README.md +++ b/README.md @@ -11,23 +11,30 @@ A curated list of awesome Indoor Scene Synthesis papers.
3D Scene synthesis + +
+Compositional Mesh Generation -- Compositional mesh generation - [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) - [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/) - [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) +
-- applying LLM +
+applying LLM + - [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/) +
+
+Model Training without Scene Graph -- Model training without scene graph - [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/) @@ -38,7 +45,7 @@ A curated list of awesome Indoor Scene Synthesis papers. - [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) - - Model training with scene graph @@ -57,29 +64,12 @@ A curated list of awesome Indoor Scene Synthesis papers. - [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) - +
- MCMC -- [Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars](https://arxiv.org/abs/1704.00112) | IJCV (2018) - - -- ..... - - - -- [Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints](https://arxiv.org/abs/2310.03602), Fang et al., arxiv 2023 | [github](https://github.com/fangchuan/Ctrl-Room) | [bibtext](./citations/ctrlroom.txt) -- [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) - - - -- [ControlRoom3D:Room Generation using Semantic Proxy Rooms](https://arxiv.org/abs/2312.05208), Schult et al., arxiv 2023 | [bibtext](./citations/controlroom3d.txt) - -- [Text2Immersion: Generative Immersive Scene with 3D Gaussians](https://arxiv.org/abs/2312.09242), Ouyang et al., arxiv 2023 | [bibtext](./citations/text2immersion.txt) -- [ShowRoom3D: Text to High-Quality 3D Room Generation Using 3D Priors](https://arxiv.org/abs/2312.13324), Mao et al., arxiv 2023 | [github](https://github.com/showlab/ShowRoom3D) | [bibtext](./citations/showRoom3d.txt) - -- [3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation](https://arxiv.org/abs/2403.09439), Zhang et al., arxiv 2024 | [bibtext](./citations/3dscenedreamer.txt) +- [Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars](https://arxiv.org/abs/1704.00112) | IJCV (2018)