Generative Prior Distillation for Unsupervised 3D Editing

This framework enables feed-forward 3D editing without paired supervision by distilling visual, semantic, and geometric knowledge from foundation models. The method uses a differentiable rendering pipeline to avoid the structural drift and geometric artifacts common in pseudo-pair training.