Amjad Masad ⠕
Next time you feel yourself getting outraged over something someone said just channel Lebowski — “yeah, well, that's just, like, your opinion, man” — and feel instant relief.
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Claire Silver 🌸
RT @phomo_eth: dreaming of securing the bag so i can kick off the auction for this 1/1

blows my mind that it’s still available

‘Pieces’ x @ClaireSilver12 🌸💎 https://t.co/wja6hVa5Le
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UnknownCollector - NG Drop soon
RT @ArtM0o: Looking to make my first sale of 2023, so, Here are some of my available pieces on @foundation .

I Fell Apart When You Left - 0.2 ETH

Host - 0.1 ETH

Flourish - 0.22 ETH

Separation Anxiety - 0.1 ETH.

Please share and retweet if you come across this tweet

Link below. https://t.co/RbfD5YnrR2
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AK
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods

abs: https://t.co/6HWSQ1PnlJ
github: https://t.co/PlTuQpDIoa https://t.co/CAl2HFIuaG
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AK
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion

abs: https://t.co/x5S2KXi6WH https://t.co/gbYNDZnJb5
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GIF
AK
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

abs: https://t.co/Cg7BxuI6sn
project page: https://t.co/QBQUH9p2VZ https://t.co/NaLv2Cex9N
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Aran Komatsuzaki
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion

Develops a cascading latent diffusion approach that can generate multiple minutes of high-quality stereo music at 48kHz from textual descriptions.

abs: https://t.co/UpoywkQI05
repo: https://t.co/XqHCYSyg2l https://t.co/EiPn9luH6f
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Aran Komatsuzaki
Leveraging the Third Dimension in Contrastive Learning

Leveraging the additional depth channel dimension of BYOL leads to an increase in downstream classification accuracy from 85.3% to 88.0% on ImageNette and 84.1% to 87.0% on ImageNet-C.

https://t.co/DleM5sZ0lY https://t.co/xPXSMkyOeT
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