Dino Forcing Flow Models: Do not denoise what you can predict
arXiv preprint · 2026*equal contribution
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.
Our new work Dino Forcing Flow Models: Do not denoise what you can predict is out! Check out the code.
Our work Balancing Frequencies and Pixels in Flow Matching has been accepted at NeurIPS 2026. See you in Paris!
I attended ICML 2026 in Seoul to present MIRO.
Our work MIRO has been accepted at ICML 2026. See you in Seoul!
Our paper PoM has been accepted as a Findings paper at CVPR 2026!
I am attending EurIPS 2025 to present our work at the Workshop on Principles of Generative Modeling (PriGM)
Our new work MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency is online. Check it out!
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!
I started my PhD at VISTA (Ecole polytechnique) and IMAGINE (Ecole des Ponts) labs.
I attended ECCV 2024 in Milano.
Also on Google Scholar.
arXiv preprint · 2026*equal contribution
NeurIPS · 2026*equal contribution

arXiv preprint · 2025*equal contribution

EurIPS 2025 Workshop on Principles of Generative Modeling (PriGM) · 2025