Zizheng Yan*

DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors

"Text-to-3D generation has recently seen significant progress. To enhance its practicality in real-world applications, it is crucial to generate multiple independent objects with interactions, similar to layer-compositing in 2D image editing. However, existing text-to-3D methods struggle with this t…