Shaoan Xie
Hi! I’m a Phd student at Carnegie Mellon University, advised by Prof. Kun Zhang. I’m interested in machine learning and computer vision from a causal perspective. Specifically, I focus on causal representation learning, with applications to image-to-image translation, conditional image generation and domain adaptation. I also have a strong passion for generative models, e.g., GAN, normalizing flow and diffusion models.
News
- [May. 2023] I’m thrilled to share that my work at Adobe SmartBrush is now alive in Adobe flagship products - Photoshop and Firefly!
- [Feb. 2023] Two paper are accepted into CVPR2023! The diffusion-based inpainting method-SmartBrush and a new method for image-to-image translation!
- [Jan. 2023] One paper i-stylegan is accepted as ICLR2023 Spotlight! One of the first works to connect identifiability with multidomain image generation.
- [Dec. 2022] Check our new SmartBrush Paper! A diffusion-based object inpainting model that beats Stable Diffusion and DALLE-2!
- [Nov. 2022] I am attending Neurips2022. See you in New Orleans!
Selected Publications [ Google Scholar]
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NeurIPS
Advances in Neural Information Processing Systems (NeurIPS), 2023. -
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. Highlight -
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. -
ICLR
International Conference on Learning Representations (ICLR), 2023. Spotlight -
NeurIPS
Advances in Neural Information Processing Systems (NeurIPS), 2022. -
ICML
International Conference on Machine Learning (ICML), 2022. Spotlight -
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. -
MICCAI
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022. -
ICCV
IEEE/CVF International Conference on Computer Vision (ICCV), 2021. -
ICML
International Conference on Machine Learning (ICML), 2018.