A survey on 3D editing based on NeRF and 3DGS

Chen-Yang ZHU; Xin-Yao LIU; Kai XU; Ren-Jiao YI

doi:10.1007/s11704-025-41176-9

Front. Comput. Sci. ›› 2026, Vol. 20 ›› Issue (4) : 2004701 DOI: 10.1007/s11704-025-41176-9

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A survey on 3D editing based on NeRF and 3DGS

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Abstract

In recent years, 3D editing has become a significant research topic, primarily due to its ability to manipulate 3D assets in ways that fulfill the growing demand for personalized customization. The advent of radiance field-based methods, exemplified by pioneering frameworks such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), represents a pivotal innovation in scene representation and novel view synthesis, greatly enhancing the effectiveness and efficiency of 3D editing. This survey provides a comprehensive overview of the current advancements in 3D editing based on NeRF and 3DGS, systematically categorizing existing methods according to specific editing tasks while analyzing the current challenges and potential research directions. Our goal through this survey is to offer a comprehensive and valuable resource for researchers in the field, encouraging innovative ideas that may drive further progress in 3D editing.

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3D editing / NeRF / 3DGS

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Chen-Yang ZHU,Xin-Yao LIU,Kai XU,Ren-Jiao YI. A survey on 3D editing based on NeRF and 3DGS. Front. Comput. Sci., 2026, 20(4): 2004701 DOI:10.1007/s11704-025-41176-9