Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields
This paper presents Few TensoRF, a 3D reconstruction framework that combines TensorRF's efficient tensor based representation with FreeNeRF's frequency driven few shot regularization. Using TensorRF to significantly accelerate rendering speed and introducing frequency and occlusion masks, the method improves stability and reconstruction quality under sparse input views. Experiments on the Synthesis NeRF benchmark show that Few TensoRF method improves the average PSNR from 21.45 dB (TensorRF) to 23.70 dB, with the fine tuned version reaching 24.52 dB, while maintaining TensorRF's fast \(\approx10-15\) minute training time. Experiments on the THuman 2.0 dataset further demonstrate competiti...
| Authors | Thanh-Hai Le, Hoang-Hau Tran, Trong-Nghia Vu |
|---|---|
| Primary category | cs.CV |
| Published | 26 March 2026 |
| Last updated at source | 30 March 2026 |
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