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weihaox committed May 26, 2023
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24 changes: 22 additions & 2 deletions README.md
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Expand Up @@ -319,6 +319,10 @@ CVPR 2022. [[PDF](https://arxiv.org/abs/2111.15234)] [[Project](https://bennyguo

**Large-scale scene**

* **Grid-guided Neural Radiance Fields for Large Urban Scenes.**<br>
*Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin.*<br>
CVPR 2023. [[PDF](https://arxiv.org/abs/2303.14001)] [[Project](https://city-super.github.io/gridnerf/)]

* **Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry.**<br>
*Dawa Derksen, Dario Izzo.*<br>
CVPR 2021. [[PDF](https://arxiv.org/abs/2104.09877)]
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### Unconditional 3D Generative Models

* **Live 3D Portrait: Real-Time Radiance Fields for Single-Image Portrait View Synthesis.**<br>
*Alex Trevithick, Matthew Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano.*<br>
SIGGRAPH 2023 (ACM Transactions on Graphics). [[PDF](https://research.nvidia.com/labs/nxp/lp3d//media/paper.pdf)] [[Project](https://research.nvidia.com/labs/nxp/lp3d//)] [[Github]()]

* **HoloGAN: Unsupervised learning of 3D representations from natural images.**<br>
*[Thu Nguyen-Phuoc](https://monkeyoverflow.com/about/), [Chuan Li](https://lambdalabs.com/blog/author/chuan/), Lucas Theis, [Christian Richardt]( https://richardt.name/), [Yong-liang Yang](http://yongliangyang.net/).*<br>
ICCV 2019. [[PDF](https://arxiv.org/abs/1904.01326)] [[Project](https://www.monkeyoverflow.com/hologan-unsupervised-learning-of-3d-representations-from-natural-images/] [[Github](https://github.com/thunguyenphuoc/HoloGAN)]
Expand Down Expand Up @@ -550,7 +558,15 @@ ICLR 2023 (Oral). [[PDF](https://openreview.net/forum?id=U2WjB9xxZ9q)] [[Project
*Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul Srinivasan, Jiajun Wu, Deqing Sun.*<br>
arxiv 2022. [[PDF](https://arxiv.org/abs/2302.06833)] [[Project](http://kylesargent.github.io/vq3d)]

## 3D-aware Diffusion Models
## 3D-aware Diffusion Models

* **3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models.**<br>
*[Biao Zhang](https://1zb.github.io/), [Jiapeng Tang](https://tangjiapeng.github.io/), [Matthias Niessner](https://www.niessnerlab.org/), [Peter Wonka](http://peterwonka.net/).*<br>
SIGGRAPH 2023. [[PDF](https://arxiv.org/abs/2301.11445)] [[Project](https://1zb.github.io/3DShape2VecSet/)] [[Github](https://github.com/1zb/3DShape2VecSet)]

* **NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.**<br>
*Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler.*<br>
CVPR 2023. [[PDF](https://arxiv.org/abs/2304.09787)]

* **Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion.**<br>
*Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo.*<br>
Expand All @@ -568,14 +584,18 @@ CVPR 2023. [[PDF](https://arxiv.org/abs/2211.09869)] [[Project](https://holodiff
*[Zhizhuo Zhou](https://www.zhiz.dev/), [Shubham Tulsiani](https://shubhtuls.github.io/).*<br>
CVPR 2023. [[PDF](https://arxiv.org/abs/2212.00792)] [[Project](https://sparsefusion.github.io/)] [[Github](https://github.com/zhizdev/sparsefusion)]

* **HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images.**<br>
* **HoloDiffusion: Training a 3D Diffusion Model using 2D Images.**<br>
*Animesh Karnewar, Andrea Vedaldi, David Novotny, Niloy Mitra.*<br>
CVPR 2023. [[PDF](https://arxiv.org/abs/2303.16509)] [[Project](https://3d-diffusion.github.io/)]

* **3DiM: Novel View Synthesis with Diffusion Models.**<br>
*Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi.*<br>
ICLR 2023. [[PDF](https://arxiv.org/abs/2210.04628)] [[Project](https://3d-diffusion.github.io/)]

**Learning a Diffusion Prior for NeRFs.**<br>
*Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole.*<br>
arXiv 2023. [[PDF](https://arxiv.org/abs/2304.14473)]

* **Generative Novel View Synthesis with 3D-Aware Diffusion Models.**<br>
*Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein.*<br>
arXiv 2023. [[PDF](https://arxiv.org/abs/2304.02602)] [[Project](https://nvlabs.github.io/genvs/)] [[Github](https://github.com/NVlabs/genvs)]
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35 changes: 34 additions & 1 deletion index.html
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Expand Up @@ -629,6 +629,11 @@ <h3 id="from-constrained-environmental-conditions-to-in-the-wild">From
</ul>
<p><strong>Large-scale scene</strong></p>
<ul>
<li><p><strong>Grid-guided Neural Radiance Fields for Large Urban
Scenes.</strong><br> <em>Linning Xu, Yuanbo Xiangli, Sida Peng, Xingang
Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin.</em><br> CVPR
2023. [<a href="https://arxiv.org/abs/2303.14001">PDF</a>] [<a
href="https://city-super.github.io/gridnerf/">Project</a>]</p></li>
<li><p><strong>Shadow Neural Radiance Fields for Multi-view Satellite
Photogrammetry.</strong><br> <em>Dawa Derksen, Dario Izzo.</em><br> CVPR
2021. [<a href="https://arxiv.org/abs/2104.09877">PDF</a>]</p></li>
Expand Down Expand Up @@ -772,6 +777,14 @@ <h2 id="d-generative-models-from-single-views">3D Generative Models from
<h3 id="unconditional-3d-generative-models">Unconditional 3D Generative
Models</h3>
<ul>
<li><p><strong>Live 3D Portrait: Real-Time Radiance Fields for
Single-Image Portrait View Synthesis.</strong><br> <em>Alex Trevithick,
Matthew Chan, Michael Stengel, Eric R. Chan, Chao Liu, Zhiding Yu, Sameh
Khamis, Manmohan Chandraker, Ravi Ramamoorthi, Koki Nagano.</em><br>
SIGGRAPH 2023 (ACM Transactions on Graphics). [<a
href="https://research.nvidia.com/labs/nxp/lp3d//media/paper.pdf">PDF</a>]
[<a href="https://research.nvidia.com/labs/nxp/lp3d//">Project</a>] [<a
href="">Github</a>]</p></li>
<li><p><strong>HoloGAN: Unsupervised learning of 3D representations from
natural images.</strong><br> <em><a
href="https://monkeyoverflow.com/about/">Thu Nguyen-Phuoc</a>, <a
Expand Down Expand Up @@ -1031,6 +1044,20 @@ <h2 id="d-aware-generative-model-on-imagenet">3D-Aware Generative Model
</ul>
<h2 id="d-aware-diffusion-models">3D-aware Diffusion Models</h2>
<ul>
<li><p><strong>3DShape2VecSet: A 3D Shape Representation for Neural
Fields and Generative Diffusion Models.</strong><br> <em><a
href="https://1zb.github.io/">Biao Zhang</a>, <a
href="https://tangjiapeng.github.io/">Jiapeng Tang</a>, <a
href="https://www.niessnerlab.org/">Matthias Niessner</a>, <a
href="http://peterwonka.net/">Peter Wonka</a>.</em><br> SIGGRAPH 2023.
[<a href="https://arxiv.org/abs/2301.11445">PDF</a>] [<a
href="https://1zb.github.io/3DShape2VecSet/">Project</a>] [<a
href="https://github.com/1zb/3DShape2VecSet">Github</a>]</p></li>
<li><p><strong>NeuralField-LDM: Scene Generation with Hierarchical
Latent Diffusion Models.</strong><br> <em>Seung Wook Kim, Bradley Brown,
Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach,
Antonio Torralba, Sanja Fidler.</em><br> CVPR 2023. [<a
href="https://arxiv.org/abs/2304.09787">PDF</a>]</p></li>
<li><p><strong>Rodin: A Generative Model for Sculpting 3D Digital
Avatars Using Diffusion.</strong><br> <em>Tengfei Wang, Bo Zhang, Ting
Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong
Expand Down Expand Up @@ -1066,7 +1093,7 @@ <h2 id="d-aware-diffusion-models">3D-aware Diffusion Models</h2>
2023. [<a href="https://arxiv.org/abs/2212.00792">PDF</a>] [<a
href="https://sparsefusion.github.io/">Project</a>] [<a
href="https://github.com/zhizdev/sparsefusion">Github</a>]</p></li>
<li><p><strong>HOLODIFFUSION: Training a 3D Diffusion Model using 2D
<li><p><strong>HoloDiffusion: Training a 3D Diffusion Model using 2D
Images.</strong><br> <em>Animesh Karnewar, Andrea Vedaldi, David
Novotny, Niloy Mitra.</em><br> CVPR 2023. [<a
href="https://arxiv.org/abs/2303.16509">PDF</a>] [<a
Expand All @@ -1077,6 +1104,12 @@ <h2 id="d-aware-diffusion-models">3D-aware Diffusion Models</h2>
Norouzi.</em><br> ICLR 2023. [<a
href="https://arxiv.org/abs/2210.04628">PDF</a>] [<a
href="https://3d-diffusion.github.io/">Project</a>]</p></li>
</ul>
<p><strong>Learning a Diffusion Prior for NeRFs.</strong><br>
<em>Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron,
Ben Poole.</em><br> arXiv 2023. [<a
href="https://arxiv.org/abs/2304.14473">PDF</a>]</p>
<ul>
<li><p><strong>Generative Novel View Synthesis with 3D-Aware Diffusion
Models.</strong><br> <em>Eric R. Chan, Koki Nagano, Matthew A. Chan,
Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini
Expand Down

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