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#SkyworkAI unveils #SkyReelsA2 β a controllable video generation framework that can assemble arbitrary visual elements (e.g., characters, objects, backgrounds) into fully synthesized videos from text prompts.
Code, models, and evaluation benchmark are all released!
π Resources:
Review: https://t.ly/MEjzL
Paper: https://arxiv.org/pdf/2504.02436
Project: https://skyworkai.github.io/skyreels-a2.github.io/
Repo: https://github.com/SkyworkAI/SkyReels-A2
#AI #VideoGeneration #Multimodal #GenerativeAI #SkyReels #OpenSource
https://t.iss.one/DataScienceT
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Adding TTT layers into a pre-trained Transformer enables generating a one-minute clip from text storyboards.
Videos, code & annotations released
#AI #VideoGeneration #MachineLearning #DeepLearning #Transformers #TTT #GenerativeAI
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Forwarded from Python | Machine Learning | Coding | R
Access whitepapers, podcasts, code labs, & recorded livestreams. Additionally, there is a bonus assignment for you!
https://www.kaggle.com/learn-guide/5-day-genai
#GenerativeAI #GoogleAI #AICourse #SelfPacedLearning #MachineLearning #DeepLearning #Kaggle #AICommunity #TechEducation #AIforEveryone
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Kaggle
5-Day Gen AI Intensive Course with Google
Kaggle is the worldβs largest data science community with powerful tools and resources to help you achieve your data science goals.
β€βπ₯2
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NVIDIA introduces Describe Anything Model (DAM)
a new state-of-the-art model designed to generate rich, detailed descriptions for specific regions in images and videos. Users can mark these regions using points, boxes, scribbles, or masks.
DAM sets a new benchmark in multimodal understanding, with open-source code under the Apache license, a dedicated dataset, and a live demo available on Hugging Face.
Explore more below:
Paper: https://lnkd.in/dZh82xtV
Project Page: https://lnkd.in/dcv9V2ZF
GitHub Repo: https://lnkd.in/dJB9Ehtb
Hugging Face Demo: https://lnkd.in/dXDb2MWU
Review: https://t.ly/la4JD
a new state-of-the-art model designed to generate rich, detailed descriptions for specific regions in images and videos. Users can mark these regions using points, boxes, scribbles, or masks.
DAM sets a new benchmark in multimodal understanding, with open-source code under the Apache license, a dedicated dataset, and a live demo available on Hugging Face.
Explore more below:
Paper: https://lnkd.in/dZh82xtV
Project Page: https://lnkd.in/dcv9V2ZF
GitHub Repo: https://lnkd.in/dJB9Ehtb
Hugging Face Demo: https://lnkd.in/dXDb2MWU
Review: https://t.ly/la4JD
#NVIDIA #DescribeAnything #ComputerVision #MultimodalAI #DeepLearning #ArtificialIntelligence #MachineLearning #OpenSource #HuggingFace #GenerativeAI #VisualUnderstanding #Python #AIresearch
https://t.iss.one/DataScienceTβ
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