TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Manipulation

Chaofan Luo, Donglin Di, Xun Yang, Yongjia Ma, Zhou Xue, Wei Chen, Xiaofei Gou, Yebin Liu

Abstract: Despite significant strides in the field of 3D scene editing, current methods encounter substantial challenge, particularly in preserving 3D consistency during the multi-view editing process. To tackle this challenge, we propose a progressive 3D editing strategy that ensures multi-view consistency via a Trajectory-Anchored Scheme (TAS) with a dual-branch editing mechanism. Specifically, TAS facilitates a tightly coupled iterative process between 2D view editing and 3D updating, preventing error accumulation yielded from the text-to-image process. Additionally, we explore the connection between optimization-based methods and reconstruction-based methods, offering a unified perspective for selecting superior design choices, supporting the rationale behind the designed TAS. We further present a tuning-free View-Consistent Attention Control (VCAC) module that leverages cross-view semantic and geometric reference from the source branch to yield aligned views from the target branch during the editing of 2D views. To validate the effectiveness of our method, we analyze 2D examples to demonstrate the improved consistency with the VCAC module. Extensive quantitative and qualitative results in text-guided 3D scene editing clearly indicate that our method can achieve superior editing quality compared with state-of-the-art 3D scene editing methods.