An instant real scene 3D reconstruction and neural rendering method based on implicit representation
To address issues such as slow training and rendering speed of neural radiation fields,poor rendering quality of real scene views,and poor geometric reconstruction effects,an instant real scene 3D reconstruction and neural rendering method based on implicit representation was proposed in this paper.The view rendering quality of real scenes was improved by using a combination of optimized sampling structures and embedded appearance encoding of light field networks;a multi-resolution hash table was used to position encode the implicit feature grid reduces the size of the encoding dictionary and the number of feature levels.In addition,an optimized truncated symbol distance algorithm was used to represent the implicit geometric information of the real scene.The reconstruction performance of the proposed method was compared with other methods on standard datasets and unmanned aerial photography datasets.The results showed that the proposed method outperformed other methods in terms of model accuracy,reconstruction and rendering time,which could quickly construct implicit representation models,instantly render highly detailed restored real-life views,and reconstruct high-quality real-life 3D models.
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