News

Nov 2023
In our recent work Distribution Matching Distillation, we distill Stable Diffusion v1.5 into a one-step generator. The distilled model achieves comparable image quality while being 30 times faster. Feel free to contact me if you have any questions about our paper!
May 2022
I am honored to be selected as a Dean's Honored Graduate (2 in the CS department).
Feb 2022
My statement of purpose for Computer Science Ph.D. Programs report.
Dec 2021
I am selected as a runner-up for CRA Outstanding Undergraduate Researcher Award 2022!

Selected Papers

One-step Diffusion with Distribution Matching Distillation
CVPR 2024
Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand,
William T. Freeman, Taesung Park
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
NeurIPS 2023
Ayush Tewari*, Tianwei Yin*, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum,
Frédo Durand, William T. Freeman, Vincent Sitzmann (* equal contribution)
Global Tracking Transformers
CVPR 2022
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
Center-based 3D Object Detection and Tracking
CVPR 2021
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
Multimodal Virtual Point 3D Detection
NeurIPS 2021
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
End-to-End Sequential Sampling and Reconstruction for MRI
ML4H 2021 (Best Paper Award)
Tianwei Yin*, Zihui Wu*, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman (* equal contribution)

Adapted from template.