标题： C3Editor：在2D模型中实现可控制的一致性以进行3D编辑 显示英文标题

标题： C3Editor: Achieving Controllable Consistency in 2D Model for 3D Editing

摘要： 基于二维提升的三维编辑方法常常面临不一致的问题，这源于缺乏视图一致的二维编辑模型以及难以确保多视图的一致性编辑。 为了解决这些问题，我们提出了C3Editor，这是一个可控且一致的基于二维提升的三维编辑框架。 给定一个原始的三维表示和一个基于文本的编辑提示，我们的方法选择性地建立一个视图一致的二维编辑模型，以实现更优越的三维编辑效果。 该过程从受控选择一个真实视图（GT）及其对应的编辑图像作为优化目标开始，允许用户定义的手动编辑。 接下来，我们在真实视图内以及多个视图之间微调二维编辑模型，使其与真实视图编辑后的图像对齐，同时确保多视图一致性。 为了满足真实视图拟合和多视图一致性不同的需求，我们引入了单独的LoRA模块进行有针对性的微调。 我们的方法在定性和定量评估中都优于现有的基于二维提升的方法，提供了更加一致和可控的二维和三维编辑结果。 显示英文摘要

摘要： Existing 2D-lifting-based 3D editing methods often encounter challenges related to inconsistency, stemming from the lack of view-consistent 2D editing models and the difficulty of ensuring consistent editing across multiple views. To address these issues, we propose C3Editor, a controllable and consistent 2D-lifting-based 3D editing framework. Given an original 3D representation and a text-based editing prompt, our method selectively establishes a view-consistent 2D editing model to achieve superior 3D editing results. The process begins with the controlled selection of a ground truth (GT) view and its corresponding edited image as the optimization target, allowing for user-defined manual edits. Next, we fine-tune the 2D editing model within the GT view and across multiple views to align with the GT-edited image while ensuring multi-view consistency. To meet the distinct requirements of GT view fitting and multi-view consistency, we introduce separate LoRA modules for targeted fine-tuning. Our approach delivers more consistent and controllable 2D and 3D editing results than existing 2D-lifting-based methods, outperforming them in both qualitative and quantitative evaluations.