Dual-Geometry Carrier Atlas Transport for Efficient and Consistent Single-Reference 3D Human Garment Editing

Existing 3D human garment editing methods typically follow a paradigm that repeatedly performs diffusion inference on multi-view images as references and updates 3D Gaussians accordingly. Repeatedly and independently applying diffusion models leads to substantial computational cost and cross-view inconsistency. In this paper, we propose Dual-geometry Carrier Atlas Transport (DCAT), which edits a single reference view and propagates the appearance to all views for 3DGS supervision. DCAT anchors the edited garment to a garment-adaptive carrier and transports its appearance through a shared UV atlas with side-view feedback, thereby coupling geometry adaptation with cross-view propagation. Specifically, Garment-Adaptive Dual-geometry Carrier deforms an SMPL-X shell according to the edited silhouette for normal garments and constructs an independent skirt proxy for skirt-like garments, thus reducing silhouette mismatch and texture distortion. Built on the carrier, UV Atlas Transport with Side-View Feedback bakes the reference appearance into a shared atlas and propagates it to the extreme side views. Boundary-locked diffusion then complements the side-view regions unobserved in the reference view, after which the results are harmonized and fed back into the atlas for propagation to the remaining views. Extensive experiments on diverse garments and editing instructions demonstrate that DCAT significantly improves editing efficiency and cross-view consistency while maintaining high visual quality.