lebellig
@lebellig.bsky.social
Ph.D. student on generative models and domain adaptation for Earth observation 🛰
Previously intern @SonyCSL, @Ircam, @Inria
🌎 Personal website: https://lebellig.github.io/
Previously intern @SonyCSL, @Ircam, @Inria
🌎 Personal website: https://lebellig.github.io/
Sorry but it's getting pretty when leaving python
November 18, 2025 at 7:46 PM
Sorry but it's getting pretty when leaving python
It's a >1B model if you unfold the EMA...
November 13, 2025 at 8:11 PM
It's a >1B model if you unfold the EMA...
Great article! But can the preference score go up to 2? You know, because 1 just isn’t aesthetic enough.
October 31, 2025 at 9:37 AM
Great article! But can the preference score go up to 2? You know, because 1 just isn’t aesthetic enough.
Only because of the font size and the large figures!
Tbh, I think this is a super valuable resource for anyone with even a small amount of background in diffusion models or generative models who’s interested in diffusion model research (and wants to avoid the early papers' notations)
Tbh, I think this is a super valuable resource for anyone with even a small amount of background in diffusion models or generative models who’s interested in diffusion model research (and wants to avoid the early papers' notations)
October 28, 2025 at 2:13 PM
Only because of the font size and the large figures!
Tbh, I think this is a super valuable resource for anyone with even a small amount of background in diffusion models or generative models who’s interested in diffusion model research (and wants to avoid the early papers' notations)
Tbh, I think this is a super valuable resource for anyone with even a small amount of background in diffusion models or generative models who’s interested in diffusion model research (and wants to avoid the early papers' notations)