# FrugalNeRF:

# Fast Convergence for Few-shot Novel View Synthesis without Learned Priors

### Video comparisons on the LLFF dataset with two input views.

Scene: 01 / 8 : Horns

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Input image 0

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Input image 1

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TensoRF

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Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, and Hao Su

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TensoRF: Tensorial Radiance Fields

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ECCV 2022

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RegNeRF

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Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, and Noha Radwan

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RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs

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CVPR 2022

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FreeNeRF

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Jiawei Yang, Marco Pavone, and Yue Wang

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FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

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CVPR 2023

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SimpleNeRF

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Nagabhushan Somraj, Adithyan Karanayil and Rajiv Soundararajan

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SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler Solutions

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SIGGRAPH Asia 2023

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VGOS

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Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji, Lei Zhao, Wei Xing, and Huaizhong Lin

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VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs

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IJCAI 2023

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GeCoNeRF

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Min-seop Kwak, Jiuhn Song, Seungryong Kim

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GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency

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ICML 2023

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SparseNeRF

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Guangcong Wang, Zhaoxi Chen, Chen Change Loy, and Ziwei Liu

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SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis

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ICCV 2023

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FSGS

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Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang

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FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting

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ECCV 2024

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Ours

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Dense Input