Grace Luo
I am a PhD student at BAIR advised by Professor Trevor Darrell. Previously, I received my B.S. and M.S. degrees in EECS at UC Berkeley in 2021 and 2022 respectively.
I work on interpreting and controlling generative models, e.g., for image synthesis and vision-language understanding.
Email / Google Scholar / Github / Twitter
Research
(*) denotes equal contribution
Dual-Process Image Generation
Grace Luo, Jonathan Granskog, Aleksander Holynski, Trevor Darrell
ICCV 2025
paper / website / code
Vision-Language Models Create Cross-Modal Task Representations
Grace Luo, Trevor Darrell, Amir Bar
ICML 2025
paper / website / code
Readout Guidance: Learning Control from Diffusion Features
Grace Luo, Trevor Darrell, Oliver Wang, Dan B Goldman, Aleksander Holynski
CVPR 2024 (Highlight)
paper / website / code
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell
NeurIPS 2023
paper / website / code
Shape-Guided Diffusion with Inside-Outside Attention
Dong Huk Park*, Grace Luo*, Clayton Toste, Samaneh Azadi, Xihui Liu, Maka Karalashvili, Anna Rohrbach, Trevor Darrell
WACV 2024
paper / website / code
G^3: Geolocation via Guidebook Grounding
Grace Luo*, Giscard Biamby*, Trevor Darrell, Daniel Fried, Anna Rohrbach
Findings of EMNLP 2022
paper / slides / code
Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation
Giscard Biamby*, Grace Luo*, Trevor Darrell, Anna Rohrbach
NAACL 2022
paper / slides / code
NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
Grace Luo, Trevor Darrell, Anna Rohrbach
EMNLP 2021 (Oral Presentation)
paper / slides / code
Industry Experience

Other Experience

Academic Service