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xdreamer graphdreamer
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hitcslj committed Dec 6, 2023
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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -48,6 +48,7 @@ for Robust Text-to-3D Generation](https://ku-cvlab.github.io/3DFuse/), Seo et al
- [DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior](https://mrtornado24.github.io/DreamCraft3D/), Sun et al., Arxiv 2023 | [github](https://github.com/deepseek-ai/DreamCraft3D) | [bibtex](./citations/dreamcraft3d.txt)
- [LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching](https://Arxiv.org/abs/2311.11284), Liang et al., Arxiv 2023 | [github](https://github.com/EnVision-Research/LucidDreamer) | [bibtex](./citations/luciddreamer-object.txt)
- [RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D](https://lingtengqiu.github.io/RichDreamer/), Qiu et al., Arxiv 2023 | [github](https://github.com/alibaba/RichDreamer) | [bibtex](./citations/richdreamer.txt)
- [X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation](https://xmu-xiaoma666.github.io/Projects/X-Dreamer/), Ma et al., Arxiv 2023 | [github](https://github.com/xmu-xiaoma666/X-Dreamer) | [bibtex](./citations/xdreamer.txt)


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Expand Down Expand Up @@ -167,7 +168,7 @@ for Robust Text-to-3D Generation](https://ku-cvlab.github.io/3DFuse/), Seo et al
- [ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image](https://kylesargent.github.io/zeronvs/), Sargent et al., Arxiv 2023 | [github](https://github.com/kylesargent/zeronvs) | [bibtext](./citations/zeroNVS.txt)
- [LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes](https://luciddreamer-cvlab.github.io/), Chuang et al., Arxiv 2023 | [bibtext](./citations/luciddreamer-scene.txt)
- [Pyramid Diffusion for Fine 3D Large Scene Generation](https://yuheng.ink/project-page/pyramid-discrete-diffusion/), Liu et al., Arxiv 2023 | [github](https://yuheng.ink/project-page/pyramid-discrete-diffusion/) | [bibtext](./citations/pyramid.txt)

- [GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs](https://graphdreamer.github.io/), Gao et al., Arxiv 2023 | [github](https://github.com/GGGHSL/GraphDreamer) | [bibtext](./citations/graphdreamer.txt)


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7 changes: 7 additions & 0 deletions citations/graphdreamer.txt
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@article{gao2023graphdreamer,
author = {Gao, Gege and Liu, Weiyang and Chen, Anpei and Geiger, Andreas and Schölkopf, Bernhard},
title = {GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs},
journal = {arXiv},
volume = {2312.00093},
year = {2023},
}
6 changes: 6 additions & 0 deletions citations/xdreamer.txt
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@article{ma2023xdreamer,
title={X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation},
author={Ma, Yiwei and Fan, Yijun and Ji, Jiayi and Wang, Haowei and Sun, Xiaoshuai and Jiang, Guannan and Shu, Annan and Ji, Rongrong},
journal={arXiv preprint arXiv:2312.00085},
year={2023}
}

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