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DF-NeRf: A geometrically consistent 3D reconstruction method for blurry images with decoupled and spatial fusion | Synapse
March 3, 2026
DF-NeRf: A geometrically consistent 3D reconstruction method for blurry images with decoupled and spatial fusion
XW
Xiaohui Wang
ZY
Zhenyu Yin
FZ
Feiqing Zhang
Chinese Academy of Sciences
Puntos clave
This method enhances 3D reconstruction accuracy for images affected by blurriness, preserving geometrical consistency.
The proposed approach decouples and spatially fuses image data for better clarity and detail in 3D models.
Analysis focuses on a detailed methodology to reconstruct 3D representations while addressing image blurriness.
The findings support advancements in 3D modeling, being particularly relevant for applications in augmented reality.
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Wang et al. (Thu,) studied this question.
synapsesocial.com/papers/69a767f5badf0bb9e87e30c4
https://doi.org/https://doi.org/10.1016/j.ipm.2026.104669