AnyStyle: Single-Pass Multimodal Stylization for 3D Gaussian Splatting

TL;DR

AnyStyle is a novel framework enabling pose-free, zero-shot multimodal stylization of 3D scenes reconstructed via Gaussian Splatting, supporting natural language and visual style inputs with improved controllability and quality.

Contribution

It introduces a modular, feed-forward 3D stylization method that integrates seamlessly with existing reconstruction pipelines, allowing flexible multimodal style control.

Findings

Enhanced style controllability over previous methods

Preserves high-quality geometric reconstruction

Outperforms state-of-the-art stylization approaches in user studies

Abstract

The growing demand for rapid and scalable 3D asset creation has driven interest in feed-forward 3D reconstruction methods, with 3D Gaussian Splatting (3DGS) emerging as an effective scene representation. While recent approaches have demonstrated pose-free reconstruction from unposed image collections, integrating stylization or appearance control into such pipelines remains underexplored. Existing attempts largely rely on image-based conditioning, which limits both controllability and flexibility. In this work, we introduce AnyStyle, a feed-forward 3D reconstruction and stylization framework that enables pose-free, zero-shot stylization through multimodal conditioning. Our method supports both textual and visual style inputs, allowing users to control the scene appearance using natural language descriptions or reference images. We propose a modular stylization architecture that requires only minimal architectural modifications and can be integrated into existing feed-forward 3D reconstruction backbones. Experiments demonstrate that AnyStyle improves style controllability over prior feed-forward stylization methods while preserving high-quality geometric reconstruction. A user study further confirms that AnyStyle achieves superior stylization quality compared to an existing state-of-the-art approach. Repository: https://github.com/joaxkal/AnyStyle.