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Very happy to bring generative 4D to the hands of our users! This was a great collab with Snap Research and would not have been possible without @wang12_gordon and @ashmrz10’s paper that was published this year on NeurIPS! snap-research.github.io/4Real-Video-V2/
A gift to you from the GenAI Suite this season 🎁 Let’s see what's inside: 🌠 Animated Selfie Attachments Generate animated 3D assets for your next selfie Lens. ❄️ New Enhanced Model Take your Style and Face Generations to an entirely new level with the new Enhanced model, now…
Really excited to share what my team’s been cooking at Snap! Selfie Attachments let you dream up anything and instantly bring it into AR. It’s a big step toward the future of Generative AR, and I’m excited to see where it takes us next.
[1/9] 🚀 We introduce 4Real-Video-V2, a method that can generate 4D scenes from a simple text prompt, viewable from any angle at any moment in time. It’s fast, photorealistic, and works on full scenes. Here's how it works and why it matters. 👇 snap-research.github.io/4Real-Video-V2/
Our team released the new Lens Studio where you can create Snapchat Lenses directly from your phone or browser! I’m particularly excited about GenAI features there. Congrats to the team! iOS: apps.apple.com/us/app/lens-st… Web: ar.snap.com/lens-studio-mo…
ar.snap.com
Lens Studio Mobile - Create in the moment. Share in a Snap.
Lens Studio is Snapchat’s free lens creation tool designed for easy, fun, and personal expression.
SnapML Kit is out, with a new feature allowing to generate rigged and animated high quality head models just from a text prompt to unlock creative lenses in Snapchat. Try it out at ml.snapchat.com #3Dgeneration
Snap has launched SnapML Kit today. New tool that allows anyone to generate 3D assets with just a text prompt or an image. Check it out at ml.snapchat.com #3Dgeneration
We have started accepting Snap Research 2022 Fellowship applications! We will award up to 10 fellowships. If you're doing highly impactful research relevant to Snap, we encourage you to apply. The deadline is Oct 10. Apply here: snap.submittable.com
Topic 7 of the Open Machine Learning Course by @odsai_en and @libfun_sk is dedicated to unsupervised learning, namely, to Principal Component Analysis and clustering. goo.gl/AmerDJ #mlcourse_open (credit for image to CS231n)
I just published “Open Machine Learning Course. Topic 7. Unsupervised learning: PCA and clustering” medium.com/open-machine-l…
I've been using PyTorch a few months now and I've never felt better. I have more energy. My skin is clearer. My eye sight has improved.
what models learn: so many strange surprises in the imagenet dataset. here's training image 553/1300 for category: "garbage truck"
New post on placing AlphaGo in context of AI research medium.com/@karpathy/alph… trying to mix in a pinch of low-level depth to popsci/PR
Summer school on ML for HEP - Reading, UK 17-23 Jul. Expect cool speakers, ML theory and extensive hands-ons bit.ly/mlhep2017
Any negative reviews are fake reviews, like reviews 1, 2, and 3. Sorry, people just want my paper published.
Any negative polls are fake news, just like the CNN, ABC, NBC polls in the election. Sorry, people want border security and extreme vetting.
Videos from the 2016 Tutorials and Conference are available at nips.cc. Workshop videos will be posted at a later date.
OH at lunch at OpenAI: "NIPS is becoming like Burning Man"
A collection of summaries / reviews / highlights / etc of #nips2016 reddit.com/r/MachineLearn…
The most surprising thing from NIPS so far is the continued prominence of MNIST in experiments.
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