| Title |
Recreating Intangible Culture Animation Scenes Based on Neural Radiance Fields Technology |
| Authors |
(Jiexiao Tang) ; (Lei Xu) |
| DOI |
https://doi.org/10.5573/IEIESPC.2026.15.2.203 |
| Keywords |
Intangible cultural heritage (ICH); Neural radiance fields (NeRF); 3D reconstruction; Digital preservation; Viewpoint synthesis; Interactive rendering; Cultural heritage dissemination |
| Abstract |
Intangible cultural heritage (ICH), as a treasure cultivated by diverse cultures throughout history, embodies national sentiments and the spiritual essence of human civilization. However, globalization and modernization pose significant challenges to the transmission and preservation of ICH. Digital technology offers innovative solutions for ICH preservation, with Neural Radiance Fields (NeRF) technology emerging as a promising 3D reconstruction method. This paper introduces an algorithm to recreate animated ICH scenes using NeRF technology. Experimental results demonstrate that our fast viewpoint synthesis algorithm significantly surpasses traditional methods in generating high-quality views. On the ScanNet dataset, our method achieves superior results in quantitative metrics, including PSNR, SSIM, and LPIPS. Specifically, our method reaches a PSNR of 31.68, an SSIM of 0.956, and an LPIPS of 0.194, outperforming conventional NeRF approaches. We propose a comprehensive ICH reconstruction system that includes data uploading and preprocessing, visualization training, and interactive rendering modules.
Utilizing NeRF technology, our system efficiently generates high-quality 3D models and real-time animated scenes, offering interactive experiences. In summary, the proposed system provides innovative methods for the digital preservation and dissemination of ICH, achieving high-quality 3D reconstruction and interactive display through NeRF technology, with significant theoretical and practical implications. |