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

• URL: http://arxiv.org/abs/2510.04539v2
• Date: Fri, 31 Oct 2025 16:06:19 GMT
• Title: C3Editor: Achieving Controllable Consistency in 2D Model for 3D Editing
• Authors: Zeng Tao, Zheng Ding, Zeyuan Chen, Xiang Zhang, Leizhi Li, Zhuowen Tu,
• Abstract summary: C3Editor is a controllable and consistent 2D-lifting-based 3D editing framework.<n>Our method selectively establishes a view-consistent 2D editing model to achieve superior 3D editing results.<n>Our approach delivers more consistent and controllable 2D and 3D editing results than existing 2D-lifting-based methods.
• Score: 37.439731931558036
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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