Training-and-prompt-free General Painterly Harmonization Using Image-wise Attention Sharing

arXiv:2404.12900v1 Announce Type: new
Abstract: Painterly Image Harmonization aims at seamlessly blending disparate visual elements within a single coherent image. However, previous approaches often encounter significant limitations due to training data constraints, the need for time-consuming fine-tuning, or reliance on additional prompts. To surmount these hurdles, we design a Training-and-prompt-Free General Painterly Harmonization method using image-wise attention sharing (TF-GPH), which integrates a novel "share-attention module". This module redefines the traditional self-attention mechanism by allowing for comprehensive image-wise attention, facilitating the …

arxiv attention cs.ai cs.cv cs.mm free general image prompt training type wise