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Adam Polyak @adam_polyak90

Joined November 2014
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Adam Polyak retweeted
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Yaron Lipman @lipmanya

2 months ago

**Transition Matching** is a new iterative generative paradigm using Flow Matching or AR models to transition between generation intermediate states, leading to an improved generation quality and speed!

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Neta Shaul @shaulneta

2 months ago

**Transition Matching** is a new iterative generative paradigm using Flow Matching or AR models to transition between generation intermediate states, leading to an improved generation quality and speed! https://t.co/AlLIpOZ7wY

Adam Polyak retweeted
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Ahmad Al-Dahle @Ahmad_Al_Dahle

5 months ago

Introducing our first set of Llama 4 models! We’ve been hard at work doing a complete re-design of the Llama series. I’m so excited to share it with the world today and mark another major milestone for the Llama herd as we release the *first* open source models in the Llama 4…

Adam Polyak retweeted
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Guy Yariv @guy_yariv

6 months ago

I'm thrilled to announce that Through-The-Mask (TTM) has been accepted to #CVPR2025! TTM is an I2V generation framework that leverages mask-based motion trajectories to enhance object-specific motion and maintain consistency, especially in multi-object scenarios More details👇

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Guy Yariv @guy_yariv

8 months ago

I'm thrilled to announce that Through-The-Mask (TTM) has been accepted to #CVPR2025! TTM is an I2V generation framework that leverages mask-based motion trajectories to enhance object-specific motion and maintain consistency, especially in multi-object scenarios More details👇

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Adam Polyak @adam_polyak90

7 months ago

🚀 Introducing VideoJAM – a framework that instills a strong motion prior into any video model! By denoising an optical flow derivative alongside pixels, VideoJAM teaches models to generate coherent motion and physics with high-quality visuals. 📽️

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Hila Chefer @hila_chefer

7 months ago

🚀 Introducing VideoJAM – a framework that instills a strong motion prior into any video model! By denoising an optical flow derivative alongside pixels, VideoJAM teaches models to generate coherent motion and physics with high-quality visuals. 📽️

Adam Polyak retweeted
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Lucas Beyer (bl16) @giffmana

7 months ago

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!

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Hila Chefer @hila_chefer

7 months ago

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!

Adam Polyak retweeted
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AK @_akhaliq

7 months ago

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

Adam Polyak retweeted
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Hila Chefer @hila_chefer

7 months ago

VideoJAM is our new framework for improved motion generation from @AIatMeta We show that video generators struggle with motion because the training objective favors appearance over dynamics. VideoJAM directly adresses this **without any extra data or scaling** 👇🧵

Adam Polyak retweeted
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Or Tal @Or__Tal

8 months ago

Release Announcement!📢💣 🥁🎷JASCO 🎶🪇 training & inference code + model weights are out! Paper📜: arxiv.org/abs/2406.10970 Samples🔊: pages.cs.huji.ac.il/adiyoss-lab/JA… Code🐍: github.com/facebookresear… Models🤗: huggingface.co/facebook/jasco… @lonziks @itai_gat @FelixKreuk @adiyossLC

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Adam Polyak @adam_polyak90

8 months ago

Great work on image-to-video generation led by the amazing @guy_yariv during his internship with our team 🖼️➡️👤➡️🎥 Paper: arxiv.org/pdf/2501.03059… page: guyyariv.github.io/TTM/

guy_yariv Profile Picture

Guy Yariv @guy_yariv

8 months ago

Great work on image-to-video generation led by the amazing @guy_yariv during his internship with our team 🖼️➡️👤➡️🎥 Paper: arxiv.org/pdf/2501.03059… page: guyyariv.github.io/TTM/

Adam Polyak retweeted
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Guy Yariv @guy_yariv

8 months ago

[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.

Adam Polyak retweeted
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Ishan Misra @imisra_

9 months ago

MovieGen powering Instagram's video editing features :) theverge.com/2024/12/19/243…

Adam Polyak retweeted
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Danny Trinh @dtrinh

9 months ago

VERY excited about the era of generative AR we're bringing to life. Check out this preview! It's early but so damn promising — this isn't "AI slop"... it's unlocking Creators' imaginations on their own videos. Change your wardrobe, scene, lighting etc. with little expertise. PS…

Adam Polyak retweeted
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Andrew Brown @Andrew__Brown__

11 months ago

So how did we get to these amazing videos for Meta Movie Gen? One of the things I’m proudest of is that we released a very detailed technical report (ai.meta.com/research/movie……) Lets dive into a technical summary of what we did & learnt 🧵 1/n x.com/AIatMeta/statu…

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AI at Meta @AIatMeta

11 months ago

So how did we get to these amazing videos for Meta Movie Gen? One of the things I’m proudest of is that we released a very detailed technical report (ai.meta.com/research/movie……) Lets dive into a technical summary of what we did & learnt 🧵 1/n x.com/AIatMeta/statu…

Adam Polyak retweeted
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Joelle Pineau @jpineau1

11 months ago

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.

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AI at Meta @AIatMeta

11 months ago

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.

Adam Polyak retweeted
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Ishan Misra @imisra_

11 months ago

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 💪

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Soumith Chintala @soumithchintala

11 months ago

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 retweeted
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Yuval Kirstain @YKirstain

11 months ago

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…

Adam Polyak retweeted
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Shelly Sheynin @ShellySheynin

11 months ago

I’m thrilled and proud to share our model, Movie Gen, that we've been working on for the past year, and in particular, Movie Gen Edit, for precise video editing. 😍 Look how Movie Gen edited my video!

AIatMeta Profile Picture

AI at Meta @AIatMeta

11 months ago

I’m thrilled and proud to share our model, Movie Gen, that we've been working on for the past year, and in particular, Movie Gen Edit, for precise video editing. 😍 Look how Movie Gen edited my video! https://t.co/0YawTGo217

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