I received my PhD in Machine Learning under the supervision of James Hays at Georgia Tech, where I also received my BS and MS degrees in Computer Science. My research interests lie in the intersection of computer vision and machine learning, particularly in multimodal learning and image/video generation. I previously interned at the Max Planck Institute for Intelligent Systems, Google Research, and Adobe Research.

My personal website can be found here.


Personalized Residuals for Concept-Driven Text-to-Image Generation

Ham, C., Fisher, M., Hays, J., Kolkin, N., Liu, Y., Zhang, R., Hinz, T. (Jun. 19, 2024)

CVPR 2024

Modulating Pretrained Diffusion Models for Multimodal Image Synthesis

Ham, C., Hays, J., Lu, J., Singh, K., Zhang, Z., Hinz, T. (Aug. 6, 2023)


CoGS: Controllable Generation and Search from Sketch and Style

Ham, C., Tarres, G., Bui, T., Hays, J., Lin, Z., Collomosse, J. (Oct. 23, 2022)

European Conference on Computer Vision (ECCV)