Stable Diffusion puede hacer imágenes muy reales usando 15-20 imágenes tuyas. Modelos del lenguaje como LLaMA podrán interpretar el papel que se les pida, usando toda la información que puedan extraer de ti y tus RRSS.
MULTIMODAL AI
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Computer Vision Pose Estimation Optimizes Smart City Mobility
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How #ComputerVision-Powered Pose Estimation Can Optimize #SmartCity #Mobility
by @joshinav @BBNTimes_en Go to: https://
buff.ly/3yjG02R #AI #IoT #BigData #MachineLearning #ArtificialIntelligence #ML #MI cc: @bigdata @patrickgunz_ch @amuellerml -
Stable Diffusion replaces decoder in generative model architectures
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En mi vídeo de 2019 se explica efectivamente por donde va la idea. Y el motivo de por qué reaparecen estos trabajos y cada vez parecen más impresionantes, es porque la parte del decoder se va sustituyendo con la tecnología generativa de moda. En este caso con Stable Diffusion.
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Performer-MPC: End-to-End Learnable Robot Navigation System
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Presenting Performer-MPC, an end-to-end learnable robotic system that combines several mechanisms to enable real-world, robust, and adaptive robot navigation with real-time, on-robot transformers. Read more about this system → https://t.co/UfIiV8HBgP pic.twitter.com/ioz59RfHPG
— Google AI (@GoogleAI) 3 mars 2023Presenting Performer-MPC, an end-to-end learnable robotic system that combines several mechanisms to enable real-world, robust, and adaptive robot navigation with real-time, on-robot transformers. Read more about this system → https://
goo.gle/3IRNNc6 -
Overblown Concerns About AI Model Training Data
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I think this is overblown. so if all the data in the world that are produced by human beings is what this model is inspired from (since it’s Stable diffusion based) this makes sense that using pictures and words you can describe what someone else sees/thinks.
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AI and MRI to reconstruct dream images
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AI image generation models could allow you to see your dreams in images. Japanese researchers showed images to people and then reconstructed the images using brain MRI data. Here are the results + source in the second tweet.
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Transform Data into Voice AI Knowledge Assistant Guide
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How to Transform Your #Data into a Voice #AI Knowledge Assistant
by Chen Zhang @Coruzant Go to: https://
buff.ly/3BJWZ05 #IoT #ArtificialIntelligence #Cloud #Blockchain #Digital #DataScience #Analytics cc: @ronald_vanloon @kuriharan @ravikikan -
ControlNet depth maps quality improvements with ClipDrop
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ControlNet ha demostrado un rendimiento brutal tomando con los mapas de profundidad que ofrecen modelos como MiDaS. Pues pensad cómo irá con la calidad de los mapas de ClipDrop. Maravilla!
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Future Technology: Recording and Playing Back Dreams as Movies
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we really will be able to watch our dreams played backed as movies at some point https://
sites.google.com/view/stabledif
fusion-with-brain/
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Computer Vision Advances with Cerebras Wafer-Scale Technology
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Read the article here – https://t.co/SHdFfpknTO
— Cerebras (@cerebras) 2 mars 2023
Learn more about computer vision on the Cerebras Wafer-Scale cluster here – https://t.co/JThGFRG2PY pic.twitter.com/aV0KLPL7ScRead the article here – https://
arxiv.org/ftp/arxiv/pape
rs/2101/2101.11508.pdf
… Learn more about computer vision on the Cerebras Wafer-Scale cluster here – https://
cerebras.net/blog/unlocking
-high-resolution-computer-vision-with-wafer-scale-technology
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