Luo, Grace

6 publications

ICLR 2026 Constantly Improving Image Models Need Constantly Improving Benchmarks Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, XuDong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan

ICCV 2025 Dual-Process Image Generation Grace Luo, Jonathan Granskog, Aleksander Holynski, Trevor Darrell

ICML 2025 Vision-Language Models Create Cross-Modal Task Representations Grace Luo, Trevor Darrell, Amir Bar

CVPR 2024 Readout Guidance: Learning Control from Diffusion Features Grace Luo, Trevor Darrell, Oliver Wang, Dan B Goldman, Aleksander Holynski

WACV 2024 Shape-Guided Diffusion with Inside-Outside Attention Dong Huk Park, Grace Luo, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell

NeurIPS 2023 Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell