ProLiF: Progressively-connected Light Field network for efficient view synthesis

Peng Wang, Yuan Liu, Guying Lin, Jiatao Gu, Lingjie Liu, Taku Komura, Wenping Wang

Abstract: Highlights•Introduction of ProLiF, a simple and efficient network architecture for differentiable view synthesis.•Development of a progressive training strategy with novel regularization losses to ensure multi-view 3D consistency.•Demonstration of ProLiF’s compatibility with various loss functions for enhanced robustness and style editing capabilities.