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1 | 1 | ## Implicit Neural Representation and Rendering
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2 | 2 |
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| -There are several helpful introductions and paper collections on this topic: [[Awesome Neural Radiance Fields](https://github.com/yenchenlin/awesome-NeRF)], [[Awesome-Implicit-NeRF-Robotics](https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics)], [[NeRF Explosion 2020](https://dellaert.github.io/NeRF/)]. If you are interested in the combination of diffusion models and implicit neural representations (especially NeRFs), please refer to [this](https://github.com/weihaox/awesome-3D-aware-synthesis#3d-aware-diffusion-models) repo. |
| 3 | +There are several helpful introductions and paper collections on this topic: [[Awesome Neural Radiance Fields](https://github.com/yenchenlin/awesome-NeRF)], [[Awesome-Implicit-NeRF-Robotics](https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics)], [[NeRF Explosion 2020](https://dellaert.github.io/NeRF/)]. If you are interested in the combination of diffusion models and implicit neural representations (especially NeRFs), please refer to [this](https://github.com/weihaox/Gen3D?tab=readme-ov-file#3d-aware-diffusion-models-for-a-single-image-category) repo. |
| 4 | + |
| 5 | +**HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting.**<br> |
| 6 | +*Xinpeng Liu, Zeyi Huang, Fumio Okura, Yasuyuki Matsushita.*<br> |
| 7 | +CVPR 2025. [[PDF](https://arxiv.org/abs/2503.19232)] [[Project](https://kh129.github.io/hogs)] |
| 8 | + |
| 9 | +**DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds.**<br> |
| 10 | +*Youyu Chen, Junjun Jiang, Kui Jiang, Xiao Tang, Zhihao Li, Xianming Liu, Yinyu Nie.*<br> |
| 11 | +CVPR 2025. [[PDF](https://arxiv.org/abs/2503.18402)] [[Project](https://dashgaussian.github.io)] |
| 12 | + |
| 13 | +**DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting.**<br> |
| 14 | +*Liao Shen, Tianqi Liu, Huiqiang Sun, Jiaqi Li, Zhiguo Cao, Wei Li, Chen Change Loy.*<br> |
| 15 | +CVPR 2025. [[PDF](https://arxiv.org/abs/2503.00746)] [[Project](https://dof-gaussian.github.io)] |
4 | 16 |
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5 | 17 | **NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields.**<br>
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6 | 18 | *Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus.*<br>
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7 |
| -ECCV 2024. [[PDF](https://arxiv.org/pdf/2404.01300.pdf)] [[Project](https://nerf-mae.github.io/)] [[Code](https://github.com/zubair-irshad/NeRF-MAE)] |
| 19 | +ECCV 2024. [[PDF](https://arxiv.org/abs/2404.01300)] [[Project](https://nerf-mae.github.io/)] [[Code](https://github.com/zubair-irshad/NeRF-MAE)] |
8 | 20 |
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9 | 21 | **COLMAP-Free 3D Gaussian Splatting.**<br>
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10 | 22 | *Yang Fu, Sifei Liu, Amey Kulkarni, Jan Kautz, Alexei A. Efros, Xiaolong Wang.*<br>
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