HIGH-QUALITY TEXT-TO-IMAGE GENERATION USING HIGH-DETAIL FEATURE-PRESERVING NETWORK

Multistage text-to-image generation algorithms have shown remarkable success.However, the images produced often lack detail and suffer from feature loss.This is because these methods mainly focus on extracting features from images and text, using only conventional residual blocks for post-extraction feature processing.This results in the loss of fe

Pure lines of maize: W13R, harry potter magsafe case R153, W17.131, OH40, IK58, IK8, ZP and SH were crossed with three testers, Agr183, DK and (Agr183 x DK).Genotypes: (lines, testers and hybrids) were planted by using randomized complete block design with two replications for the deduction of epistasis, estimation of variance components and some g