Taesung Park

Research Scientist

San Jose

I am a Research Scientist focusing on image editing using generative models. I received Ph.D. in Computer Science at UC Berkeley, advised by Prof. Alexei Efros. Previously I interned at Adobe in 2019-21, working with Richard Zhang and Eli Shechtman. I received B.S. in Mathematics and M.S. in Computer Science, both at Stanford University. During my Master’s program, I was advised by Vladlen Koltun and Sergey Levine. I was also a recipient of Adobe Research Fellowship 2020. I participated in the development of Firefly and Photoshop’s Landscape Mixer.

Please see my personal website for more info and a complete list of publication.

Publications

One-step Diffusion with Distribution Matching Distillation

Yin, T., Gharbi, M., Zhang, R., Shechtman, E., Durand, F., Freeman, W., Park, T. (Dec. 5, 2023)

arxiv

Scaling up GANs for Text-to-Image Synthesis

Kang, M., Zhu, J., Zhang, R., Park, J., Shechtman, E., Paris, S., Park, T. (Jun. 22, 2023)

Highlight

Computer Vision and Pattern Recognition (CVPR'23)

Domain Expansion of Image Generators

Nitzan, Y., Gharbi, M., Zhang, R., Park, T., Zhu, J., Cohen-Or, D., Shechtman, E. (Jun. 21, 2023)

Computer Vision and Pattern Recognition (CVPR'23)

ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions

Liu, D., Shetty, S., Hinz, T., Fisher, M., Zhang, R., Park, T., Kalogerakis, E. (Aug. 1, 2022)

ACM Transactions on Graphics (TOG)

Swapping Autoencoder for Deep Image Manipulation

Park, T., Zhu, J., Wang, O., Lu, J., Shechtman, E., Efros, A., Zhang, R. (Dec. 6, 2020)

Neurips 2020

Contrastive Learning for Unpaired Image-to-Image Translation

Park, T., Efros, A., Zhang, R., Zhu, J. (Aug. 23, 2020)

European Conference on Computer Vision (ECCV)

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