The invention discloses a global neural drawing method and
system oriented to
hybrid representation optimization, and belongs to the technical field of
computer graphics, and the method comprises the steps: dividing a screen into a plurality of tiles, and obtaining a first
workload index on each tile in a first drawing stage and a second
workload index on each tile in a second drawing stage; generating a cross-tile and cross-stage unified scheduling
queue based on the first
workload index and the second workload index, and executing the drawing tasks on different tiles in parallel according to the unified scheduling
queue; and triggering a subsequent
feature fusion and neural
global illumination drawing stage when the inter-stage dependency condition is met so as to generate an output image with a
global illumination effect. According to the method, the end-to-end
frame rate oriented to the modern AI accelerator / AI-GPU can be remarkably improved and the
tail delay can be reduced on the premise of ensuring the visual quality and the
time sequence stability, and the method is suitable for application scenes such as real-time
global illumination, large-scale complex scene drawing and interactive neural rendering.