Improved Object-Based Style Transfer with Single Deep Network

arXiv:2404.09461v1 Announce Type: cross
Abstract: This research paper proposes a novel methodology for image-to-image style transfer on objects utilizing a single deep convolutional neural network. The proposed approach leverages the You Only Look Once version 8 (YOLOv8) segmentation model and the backbone neural network of YOLOv8 for style transfer. The primary objective is to enhance the visual appeal of objects in images by seamlessly transferring artistic styles while preserving the original object characteristics. The proposed approach's novelty lies in combining …

abstract arxiv convolutional neural network cs.cv cs.lg image image-to-image look methodology network neural network novel object objects paper research research paper segmentation style style transfer transfer type yolov8