The present application relates to the field of
computer graphics and human-computer
interaction technology, especially to a game picture dynamic interaction
layout method and
system, the method comprising: obtaining depth, normal, illumination, color and user
event data to generate a field of attention; extracting an interest region according to the field of attention, obtaining two displacement fields by using neural optimal transport and quasi-conformal mapping respectively, and fusing the two displacement fields into a unified
displacement field according to curvature weight; after deforming pixel coordinates by using the unified
displacement field, inputting a
voxel set of the interest region into a neural
radiance field network to generate a compensation color, and combining the compensation color with a deformed
color map to generate a fusion picture; inputting a user event through two-stage inverse mapping to hit an entity, and when the
system energy is low, frame skipping is used for
multiplexing, and when the
system energy is high, threshold, conformal coefficient and damping are adjusted through
time sequence difference
reinforcement learning to realize cross-frame self-
adaptation. The present application takes into account local
magnification clarity and global continuity, reduces dizziness and saves computing power.