
Lucas Degeorge
PhD Student working on Generative Modeling
I am a PhD student in Computer Vision at VISTA (Ecole polytechnique) and IMAGINE (Ecole des Ponts) labs, under the supervision of Vicky Kalogeiton and David Picard.
My research focuses on generative models for images, especially text-to-image generation and flow matching. I am interested in making these models more data- and compute-efficient and training competitive text-to-image models. I am also interested in vision representation learning.
News
- Oct 2026
Our new work Dino Forcing Flow Models: Do not denoise what you can predict is out! Check out the code.
- Sep 2026
Our work Balancing Frequencies and Pixels in Flow Matching has been accepted at NeurIPS 2026. See you in Paris!
- Jul 2026
I attended ICML 2026 in Seoul to present MIRO.
- Apr 2026
Our work MIRO has been accepted at ICML 2026. See you in Seoul!
Show all news (10)
- Feb 2026
Our paper PoM has been accepted as a Findings paper at CVPR 2026!
- Dec 2025
I am attending EurIPS 2025 to present our work at the Workshop on Principles of Generative Modeling (PriGM)
- Oct 2025
Our new work MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency is online. Check it out!
- Oct 2025
We release the dataset used in the paper How far can we go with ImageNet for text-to-image generation?. Download them on HuggingFace and use them!
- Nov 2024
I started my PhD at VISTA (Ecole polytechnique) and IMAGINE (Ecole des Ponts) labs.
- Sep 2024
I attended ECCV 2024 in Milano.
Publications
Also on Google Scholar.
2026
2025
How far can we go with ImageNet for text-to-image generation?
arXiv preprint · 2025*equal contribution

One-step Diffusion Models with Bregman Density Ratio Matching
EurIPS 2025 Workshop on Principles of Generative Modeling (PriGM) · 2025
Misc
Teaching
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2024 – 2026
Advanced Deep LearningTeaching Assistant · Ecole polytechnique
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2024 – 2026
Deep Learning for Computer VisionTeaching Assistant · Ecole polytechnique
Reviewer
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2027
ICLR
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2026
NeurIPS Top ReviewerECCVCVPR



