Xi WANG
@xiwang92.bsky.social
Ecole Polytechnique, IP Paris; Prev. Ph.D.@Univ Rennes, Inria/IRISA
https://triocrossing.github.io/
https://triocrossing.github.io/
Reposted by Xi WANG
CVPR@Paris opening speech at Sorbonne University by @davidpicard.bsky.social , @vickykalogeiton.bsky.social and Matthieu Cord.
Great location!
❤️
(also: free food as at 'real' CVPR)
Great location!
❤️
(also: free food as at 'real' CVPR)
June 6, 2025 at 8:02 AM
CVPR@Paris opening speech at Sorbonne University by @davidpicard.bsky.social , @vickykalogeiton.bsky.social and Matthieu Cord.
Great location!
❤️
(also: free food as at 'real' CVPR)
Great location!
❤️
(also: free food as at 'real' CVPR)
Masked Diffusion Models (MDMs) are a hot topic in generative AI 🔥 — powerful but slow due to multiple sampling steps.
We @polytechniqueparis.bsky.social and @inria-grenoble.bsky.social introduce Di[M]O — a novel approach to distill MDMs into a one-step generator without sacrificing quality.
We @polytechniqueparis.bsky.social and @inria-grenoble.bsky.social introduce Di[M]O — a novel approach to distill MDMs into a one-step generator without sacrificing quality.
March 21, 2025 at 3:36 PM
Masked Diffusion Models (MDMs) are a hot topic in generative AI 🔥 — powerful but slow due to multiple sampling steps.
We @polytechniqueparis.bsky.social and @inria-grenoble.bsky.social introduce Di[M]O — a novel approach to distill MDMs into a one-step generator without sacrificing quality.
We @polytechniqueparis.bsky.social and @inria-grenoble.bsky.social introduce Di[M]O — a novel approach to distill MDMs into a one-step generator without sacrificing quality.