Siyi Xie

TransPhy achieves unprecedented accuracy in physically grounded image editing, outperforming traditional methods by improving rule adherence and generalization to novel transformations.

SPARGen achieves competitive performance across diverse spatial tasks by unifying perception and reasoning into a single generative framework, challenging the need for separate architectures.

A single unified model can outperform specialized systems across various computer vision tasks, all without the need for custom architectures.