This invention discloses a method and
system for optimizing dynamic rendering of virtual scenes based on
light field reconstruction, specifically relating to the field of image
data processing technology in computational imaging. First, it completes the access of multi-
source data, geometric /
optical calibration, and affine alignment of timestamps, constructing a unified time base and evidence chain within a sliding window of fixed step size. Then, it establishes a multi-scale spatial parameterized structure within the scene bounding box, using
path tracing as the forward model to jointly solve geometry,
radiation, and material properties, completing static / dynamic
decomposition and fusing color, depth, polarization, and spectral residuals to generate an
optical path consistency map. Based on this, it constructs a priority
scalar field fused from uncertainty and importance, performing area-level budget arbitration and degradation control, and mapping it to
executable control quantities such as sampling density, bounce depth, geometric level, and indirect light order. Finally, it improves cross-frame stability through temporal robust fusion and differential updates, and feeds quality
metrics and operational statistics back to the next frame's scheduling to form a
closed loop.