CVPR2025

Symbolic Representation for Any-to-Any Generative Tasks

Jiaqi Chen, Xiaoye Zhu, Yue Wang, Tianyang Liu, Xinhui Chen, Ying Chen, Chak Tou Leong, Yifei Ke, Joseph Liu, Yiwen Yuan, Julian J. McAuley, Li-jia Li

DOI Publisher

Abstract

https://github.com/Jiaqi-Chen-00/Any-2-Any Figure 1. A symbolic representation for Any-to-Any generative tasks. (a) We develop a training-free inference engine that transforms natural language task descriptions into executable symbolic flow comprising functions, parameters, and the topology. (b) The symbolic flow allows executing generative tasks as programs. Example task is mentioned in the first sentence of Sec. 1. (c) Both functions and parameters can be easily modified to customize the generation process and the output style.