The advent of 3D Gaussian Splatting (3DGS) has revolutionized 3D editing, offering efficient, high-fidelity rendering and enabling precise local manipulations. Currently, diffusion-based 2D editing models are harnessed to modify multi-view rendered images, which then guide the editing of 3DGS models. However, this approach faces a critical issue of multi-view inconsistency, where the guidance images exhibit significant discrepancies across views, leading to mode collapse and visual artifacts of 3DGS. To this end, we introduce View-consistent Editing (VcEdit), a novel framework that seamlessly incorporates 3DGS into image editing processes, ensuring multi-view consistency in edited guidance images and effectively mitigating mode collapse issues. VcEdit employs two innovative consistency modules: the Cross-attention Consistency Module and the Editing Consistency Module, both designed to reduce inconsistencies in edited images. By incorporating these consistency modules into an iterative pattern, VcEdit proficiently resolves the issue of multi-view inconsistency, facilitating high-quality 3DGS editing across a diverse range of scenes. Further code and video results are re- leased at http://yuxuanw.me/vcedit/.

翻译：三维高斯泼溅（3DGS）的出现革新了3D编辑领域，提供了高效、高保真的渲染能力，并实现了精确的局部操作。当前，基于扩散的2D编辑模型被用于修改多视角渲染图像，进而引导3DGS模型的编辑。然而，该方法面临多视图不一致的关键问题——引导图像在不同视角间存在显著差异，导致3DGS出现模式坍塌和视觉伪影。为此，我们提出视图一致编辑（VcEdit），这一创新框架无缝整合3DGS到图像编辑流程中，确保编辑引导图像的多视图一致性，并有效缓解模式坍塌问题。VcEdit采用两个创新一致性模块：交叉注意力一致性模块与编辑一致性模块，两者协同减少编辑图像中的不一致性。通过将这两个一致性模块融入迭代模式，VcEdit有效解决了多视图不一致问题，助力在多样化场景中实现高质量3DGS编辑。相关代码及视频结果已发布于http://yuxuanw.me/vcedit/。