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Time for best paper awards! The first goes to Jay Wang, Erik Lindgren and Alex Dimakis for "Composing Normalizing Flows for Inverse Problems"

Congratulations to our remarkable students Jay Whang Jay Whang and Erik Lindgren for the best paper award in the TPM UAI workshop for 'Composing Normalizing Flows for Inverse problems' !

"Deblurring via Stochastic Refinement" to appear in CVPR 2022 Decouples a conditional diffusion model into deterministic+stochastic parts, that are then trained jointly & comprise a single stochastic deblurring model w/ Jay Whang,mauricio delbracio,Alex Dimakis arxiv.org/abs/2112.02475

Check our new CVPR paper: Blind image deblurring that can produce diverse samples. Obtained by the combination of a deterministic and a stochastic model.

Really excited to release our latest work, Imagen Video! Happy to see the explosive growth of generative models. #imagenvideo imagen.research.google/video

Two important breakthroughs from Google AI this week - Imagen Video, a new text-conditioned video diffusion model that generates 1280x768 24fps HD video. And Phenaki, a model which generates long coherent videos for a sequence of text prompts. imagen.research.google/video/

Researchers from our NSF Institute on the Foundations of Machine Learning (IFML) win 2 outstanding paper awards at NeurIPS 2022 (after winning 2/5 awards in NeurIPS 2021 also)! Congratulations Jay Whang Ludwig Schmidt (1/n) The first...

Happy to share what's been keeping me busy this year! With native multimodal output, I interactively turned my duck crochet into a mallard using Gemini 2.0 🦆

More fun with multi-turn image editing! Fixing my failed attempt at latte art with Gemini 2.0 ☕️