Tao Hu

Computer Vision & Learning Group
Akademiestr. 7,Munich
Ludwig Maximilian University of Munich
I am a Postdoctoral Research Fellow with Björn Ommer in Ommer-Lab ( Stable Diffusion Lab ), focused on exploring the scalability and generalization ablity of diffusion model in the nxtaim project. I finished my PhD at VISLab, University of Amsterdam.
I am recruiting for Bachelor, Master and PhD supervision in Munich and globally. If you're interested in collaborating, feel free to send an email.
Open to discussion and collaboration, feel free to send an email.
Focused on introducing inductive bias into neural network to achieve data-efficiency by few-shot learning, generative model, etc. Have a conviction that generative modelling will be the future of discriminative modelling.
Publication | GitHub |
LinkedIn | Research Note | Chat with me |

news
Mar 11, 2025 | MaskFlow on arxiv![]() |
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Mar 07, 2025 | Will give a talk at NxtAim Winter School about “Efficient Architecture for Representation”. |
Mar 01, 2025 | Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions accepted by CVPR 2025. |
Jan 23, 2025 | ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge accepted by ICLR 2025. |
Dec 20, 2024 | Co-organize the 2nd Workshop on Efficient Large Vision Models, to CVPR 2025 Workshop |