Yandong Guan — accepted AI-conference papers

2026

PROMO: Promptable Outfitting for Efficient High-Fidelity Virtual Try-On

Haohua Chen, Tianze Zhou, Wei Zhu, Runqi Wang, Yandong Guan, Dejia Song +5

CVPR 2026

Virtual Try-on (VTON) has become a core capability for online retail, where realistic try-on results provide reliable fit guidance, reduce returns, and benefit both consumers and merchants. Diffusion-based VTON methods achieve photorealistic synthesis, yet often rely on intricate architectures such

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2025

CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Reward

Yandong Guan, Xilin Wang, XiMing Xing, Jing Zhang, Dong Xu, Qian Yu

NeurIPS 2025poster

In this work, we introduce CAD-Coder, a novel framework that reformulates text-to-CAD as the generation of CadQuery scripts—a Python-based, parametric CAD language. This representation enables direct geometric validation, a richer modeling vocabulary, and seamless integration with existing LLMs. To…

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