OmniVTON++: Training-Free Universal Virtual Try-On with Principal Pose Guidance

TL;DR

OmniVTON++ is a versatile, training-free virtual try-on framework that uses principal pose guidance and boundary refinement to achieve state-of-the-art results across diverse scenarios without retraining.

Contribution

It introduces a universal, training-free VTON method combining structured garment morphing, pose guidance, and boundary stitching for broad applicability.

Findings

Achieves state-of-the-art performance in diverse settings.

Operates reliably across different datasets and garment types.

Supports multi-garment, multi-human, and anime character try-on.

Abstract

Image-based Virtual Try-On (VTON) concerns the synthesis of realistic person imagery through garment re-rendering under human pose and body constraints. In practice, however, existing approaches are typically optimized for specific data conditions, making their deployment reliant on retraining and limiting their generalization as a unified solution. We present OmniVTON++, a training-free VTON framework designed for universal applicability. It addresses the intertwined challenges of garment alignment, human structural coherence, and boundary continuity by coordinating Structured Garment Morphing for correspondence-driven garment adaptation, Principal Pose Guidance for step-wise structural regulation during diffusion sampling, and Continuous Boundary Stitching for boundary-aware refinement, forming a cohesive pipeline without task-specific retraining. Experimental results demonstrate that OmniVTON++ achieves state-of-the-art performance across diverse generalization settings, including cross-dataset and cross-garment-type evaluations, while reliably operating across scenarios and diffusion backbones within a single formulation. In addition to single-garment, single-human cases, the framework supports multi-garment, multi-human, and anime character virtual try-on, expanding the scope of virtual try-on applications. The code is available at https://github.com/Jerome-Young/OmniVTON-PlusPlus.