講演情報
[8a-N205-6]Implicit Neural Representation of Light Fields via Decomposed Spatial Geometry and Color
〇Jun Qiu1, Ligen Shi1, Chang Liu1 (1.Beijing Information Science and Technology Univ.)
キーワード：
Computational Imaging、Light field、Implicit Neural Representation
This work proposes a novel Implicit Neural Representation for light-field imaging, addressing the spatial-angular resolution trade-off by decomposing the LF into geometry and color fields. A two-stage training strategy is employed to separately learn spatial offsets and central-view radiance, enabling efficient and interpretable LF reconstruction. Experiments show that the method achieves high-quality LF super-resolution with fewer parameters and no need for large-scale dataset.