Shelly Sheynin (@shellysheynin) 's Twitter Profile
Shelly Sheynin

@shellysheynin

Research Scientist @AIatMeta; Working on Media Generation; Meta Movie Gen, Emu Edit, Make-a-Video 3D, KNN Diffusion, Make-A-Scene

ID: 1306588206452764672

calendar_today17-09-2020 13:38:06

124 Tweet

1,1K Followers

207 Following

Ahmad Al-Dahle (@ahmad_al_dahle) 's Twitter Profile Photo

I couldn’t be more excited to share our latest AI research breakthrough. We call it Meta Movie Gen and it’s a collection of state-of-the-art models that combine to deliver the most advanced video generation capability ever created. Check it out: ai.meta.com/research/movie…

Yuval Kirstain (@ykirstain) 's Twitter Profile Photo

So proud to be part of the Movie Gen project, pushing GenAI boundaries! Two key insights: 1. Amazing team + high-quality data + clean, scalable code + general architecture + GPUs go brr = SOTA video generation. 2. Video editing *without* supervised data: train a *single* model

Ishan Misra (@imisra_) 's Twitter Profile Photo

We released 92 pages worth of detail including how to benchmark these models! Super critical for the scientific progress in this field :) We'll also release evaluation benchmarks next week to help the research community 💪

Adam Polyak (@adam_polyak90) 's Twitter Profile Photo

Excited to share our progress on Movie Gen, a SOTA model for video generation! 🎥✨ I worked on this project as part of a cutting-edge team 🔥, pushing the boundaries of video editing ✂️— all without supervised data. Can’t wait to show you what’s next! 🚀🎬

Amit Zohar (@amit_zhr) 's Twitter Profile Photo

Thrilled to share results from the Movie Gen models we've been working on these past few months, and particularly the Movie Gen Edit model for precise editing! 🚀🚀

Joelle Pineau (@jpineau1) 's Twitter Profile Photo

Sharing some of our latest work on generative AI! The video editing features and sound generation are especially exciting. And it comes with a full research paper.

Guy Yariv (@guy_yariv) 's Twitter Profile Photo

[1/8] Recent work has shown impressive Image-to-Video (I2V) generation results. However, accurately articulating multiple interacting objects and complex motions remains challenging. In our new work, we take a step toward addressing this challenge.

Shelly Sheynin (@shellysheynin) 's Twitter Profile Photo

Super excited to share our recent work, VideoJAM, for motion and physics improvement in T2V models. VideoJAM sets new SOTA in motion generation and understanding.🥳 Project Page: hila-chefer.github.io/videojam-paper…

AK (@_akhaliq) 's Twitter Profile Photo

Meta just dropped VideoJAM Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models comparison with openai sora and kling

Lucas Beyer (bl16) (@giffmana) 's Twitter Profile Photo

This is extremely cool! They find diffusion loss is not very sensitive to motion. Thus they fine-tune videogen models with additional explicit motion prediction, making the model generate much more coherent videos. Also, Hila has been doing consistently good work, follow her!

el.cine (@ehuanglu) 's Twitter Profile Photo

wow.. Meta AI just dropped new AI model, the motion is incredible and.. it has a great understanding of physics 15 examples:

Min Choi (@minchoi) 's Twitter Profile Photo

Meta introduces VideoJAM This AI makes video animations smoother and more realistic by improving how motion is generated. 10 wild examples: 1. Fingers press into a shimmering slime ball.

Hila Chefer (@hila_chefer) 's Twitter Profile Photo

Exciting news from #ICML2025 & #ICCV2025 🥳 - 🥇 VideoJAM accepted as *oral* at #ICML2025 (top 1%) - Two talks at #ICCV2025 ☝️interpretability in the generative era ✌️video customization - Organizing two #ICCV2025 workshops ☝️structural priors for vision ✌️long video gen 🧵👇

Ofir Magdaci (@magdaci) 's Twitter Profile Photo

🧵 Forecasting Next Season’s FIFA Player Ratings with ML 1/ Imagine predicting the 2026 FIFA ratings… on the same day the 2025 edition drops. You’ve seen everything up to now — but none of what comes next. Could you forecast who’ll rise? Could machine learning?