We present a novel alignment-before-generation approach to tackle the challenging task of generating general 3D shapes based on 2D images or texts.

During the inference, we set the background score as 0.95.

Large language models (LLMs) have demonstrated impressive capabilities in various tasks using the in-context learning (ICL) paradigm.

However, there are three challenges.

Reasoning over TKGs has two challenges: 1.