Boosting Zero-Shot 3D Style Transfer with 2D Pre-trained Priors 事件

Boosting Zero-Shot 3D Style Transfer with 2D Pre-trained Priors arXiv:2605.30065v1 Announce Type: new Abstract: In this work, we focus on zero-shot 3D style transfer that can generate multi-view consistent stylized views of the 3D scene given an arbitrary style image. We primarily tackle the issue of data scarcity in 3D style transfer, which arises when each model is trained on only a single scene, thereby limiting the number of available content images. This scarcity significantly hampers styl