Hands-off图像编辑：无需任何任务特定标注、掩码甚至训练的语言引导编辑
Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training
AI总结：
针对指令引导图像编辑中依赖任务特定监督的扩展与适应障碍，提出一种无需任何任务特定标注、掩码或训练的新方法，评估表明其高度有效且性能极具竞争力。
摘要：
指令引导的图像编辑是指接收一张图像和一条指令，并输出根据该指令修改后的图像。该任务的现有最先进方法受制于与监督相关的典型扩展和领域适应障碍，因为它们最终会依赖某种形式的任务特定标注、掩码或训练。我们提出了一种无需此类任务特定监督的新颖方法，从而具有更大的改进潜力。对其评估表明该方法高度有效，取得了极具竞争力的性能。
英文摘要：
Instruction-guided image editing consists in taking an image and an instruction and deliverring that image altered according to that instruction. State-of-the-art approaches to this task suffer from the typical scaling up and domain adaptation hindrances related to supervision as they eventually resort to some kind of task-specific labelling, masking or training. We propose a novel approach that does without any such task-specific supervision and offers thus a better potential for improvement. Its assessment demonstrates that it is highly effective, achieving very competitive performance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
