Quentin Bouniot

@qbouniot.bsky.social

Post-Doctoral Researcher at @eml-munich.bsky.social, in @www.helmholtz-munich.de and @tumuenchen.bsky.social. Optimal Transport, Explainability, Robustness, Deep Representation Learning, Computer Vision. https://qbouniot.github.io/

Can we enhance the performance of T2I models without any fine-tuning? We show that with our ReNO, Reward-based Noise Optimization, one-step models consistently surpass the performance of all current open-source Text-to-Image models within the computational budget of 20-50 sec! #NeurIPS2024

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😵‍💫 Continually pretraining large multimodal models to keep them up-to-date all-the-time is tough, covering everything from adapters, merging, meta-scheduling to data design and more! So I'm really happy to present our large-scale study at #NeurIPS2024! Come drop by to talk about all that and more!

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