Free Versatile Diffusion Demo available at @huggingface spaces.https://t.co/SFr2mSRdF4
— KREA AI (@krea_ai) 23 novembre 2022
Free Versatile Diffusion Demo available at @huggingface spaces.
MULTIMODAL AI
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Free Versatile Diffusion Demo Now Available on Hugging Face
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MagicVideo: Text-to-Video Generation Framework Using Diffusion
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MagicVideo is an efficient text-to-video generation framework based on latent diffusion models that can produce photorealistic video clips from text descriptions.https://t.co/SUEk3csiB7 pic.twitter.com/MqVcOIwNY0
— KREA AI (@krea_ai) 23 novembre 2022MagicVideo is an efficient text-to-video generation framework based on latent diffusion models that can produce photorealistic video clips from text descriptions. https://
magicvideo.github.io -
Versatile Diffusion: Open-Source Multimodal AI Model Released
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Versatile Diffusion can handle text-to-image, image-to-text, image-variation, and text-variation tasks. and the code is open-source! https://
github.com/SHI-Labs/Versa
tile-Diffusion
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NVIDIA SPACEx: Controllable High-Quality Portrait Animation Technology
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Moody Moving Faces: NVIDIA’s SPACEx Delivers High-Quality Portrait Animation with Controllable Expression https://
syncedreview.com/2022/11/22/moo
dy-moving-faces-nvidias-spacex-delivers-high-quality-portrait-animation-with-controllable-expression/
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Data efficiency in multimodal learning for navigation tasks
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I would say from the notion of data efficiency or minimal amount of cofounders behind your data. Like using text only to learn some navigation tasks (in big bench) sounds suboptimal to me But yeah of course science is fractal and everything can be considered scientific somehow:)
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Internet Data Lottery: Web Availability Driving AI/ML Development
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the « internet data lottery »: improvements in AI/ML coming from the path of largest web data availability rather than most scientifically sound direction modalities (text) win the lottery when they happen to be the widest available on the web even if sub-optimal for some tasks
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Magic3D: High-Resolution Text-to-3D Content Generation
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Magic3D: High-Resolution Text-to-3D Content Creation Lin et al.: https://
arxiv.org/abs/2211.10440 #ArtificialIntelligence #DeepLearning #MachineLearning -
Generalist Vision-Language Models Emerging as Industry Standard
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Authors propose a generalist model capable of handling major large-scale vision and vision-language tasks with competitive performance. These types of #AI models will become the industry norm over next 1 to 3 years.
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Why CNNs Alone Cannot Achieve Level 5 Autonomous Vehicles
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Plus there is a reason why AVs have not got to anywhere near Level 5 autonomy that Musk himself arrogantly predicted for 2020 – AI Vision (CNNs) alone is no where near enough. We need causal reasoning & learning on fly – CNNs alone won’t deliver truly advanced AVs @pierrepinna
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LiDAR and Vision Fusion Enhances Autonomous Vehicle Safety
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Ideally one should use both together which is why Tesla & Musk reportedly started to incorporate LiDAR to some extent. Vision (CNNs) alone will make mistakes that in real-world will be price costly. Combing both will reduce risk. https://
phase1vision.com/blog/how-lidar
-and-embedded-vision-increase-safety-in-autonomous-vehicles
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