AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates on Deep Learning, Machine Learning, and Computer Vision (with Papers).

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/
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πŸ”₯#Google just announced "TensorStore"πŸ”₯

πŸ‘‰Novel open-source C++ / #Python library for storage/manipulation of high-dim data

😎Review https://bit.ly/3DLwbha
😎Project https://bit.ly/3C4T2TR
😎Code github.com/google/tensorstore
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πŸ”₯ Imagen Video by #Google. SICK! πŸ”₯

πŸ‘‰Novel text-conditional video generation via cascade of video diffusion models 🀯

😎Review https://bit.ly/3SH2TVH
😎Project imagen.research.google/video/
😎Paper imagen.research.google/video/paper.pdf
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πŸ”₯New SOTA in Panoptic SegmentationπŸ”₯

πŸ‘‰#Google (with Hinton🀯) unveils Pix2Seq-D: novel generalist framework for panoptic segmentation

😎Review https://bit.ly/3DmpbGM
😎Paper arxiv.org/pdf/2210.06366.pdf
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πŸ₯¬ Diffusive Sketch-Guided Text-to-Image πŸ₯¬

πŸ‘‰#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc.

😎Review https://bit.ly/3XFVMj2
😎Project sketch-guided-diffusion.github.io/
😎Paper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf
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πŸ₯« Plug 'n' play self-checkout πŸ₯«

πŸ‘‰#Google's new shelf-checking #AI: recognizing billions of products, even purchased/moved

😎Review https://bit.ly/3J58hQe
😎News https://cloud.google.com/blog/transform/nrf-2023-google-cloud-big-show-big-moment-hybrid-retail
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πŸ“DREAMIX:General Diffusive Video EditorπŸ“

πŸ‘‰#Google unveils the first diffusion-based method able to perform text-based motion/appearance editing of general videos

😎Review https://bit.ly/3I3Hq6B
😎Paper arxiv.org/pdf/2302.01329.pdf
😎Project dreamix-video-editing.github.io/
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πŸ₯¦ ReBotNet: Neural Enhancement πŸ₯¦

πŸ‘‰#Google unveils ReBotNet, novel real-time video enhancement for live video calls & streams

😎Review https://bit.ly/3z8oqhG
😎Paper arxiv.org/pdf/2303.13504.pdf
😎Project jeya-maria-jose.github.io/rebotnet-web
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πŸ₯¦ Zip-NeRF: the Anti-Aliasing NeRF πŸ₯¦

πŸ‘‰#Google unveils a novel version of NeRF able to fix the aliasing problem being 22x faster in training than SOTA.

😎Review https://bit.ly/3L1hZ6M
😎Paper arxiv.org/pdf/2304.06706.pdf
😎Project https://jonbarron.info/zipnerf
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🌈 Track Everything Everywhere 🌈

πŸ‘‰#Google unveils OmniMotion: full-length motion tracking for every pixel in every frame of video.

😎Review https://t.ly/Krvw
😎Paper arxiv.org/pdf/2306.05422.pdf
😎Project omnimotion.github.io/
😎Demo omnimotion.github.io/#interactive_demo
😎Code github.com/qianqianwang68/omnimotion
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πŸ“Έ Computational Burst Photography in App πŸ“Έ

πŸ‘‰#Google unveils a novel computational burst system to democratize the professional photography via smartphone

😎Review https://t.ly/5ibJX
😎Paper arxiv.org/pdf/2308.01379.pdf
😎Project https://motion-mode.github.io
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πŸ”₯Lumiere: SOTA video-genπŸ”₯

πŸ‘‰#Google unveils Lumiere: Space-Time Diffusion Model for Realistic Video Generation. It's the new SOTA, tasks: Text-to-Video, Video Stylization, Cinemagraphs & Video Inpainting.

πŸ‘‰Review https://t.ly/nalJR
πŸ‘‰Paper https://lnkd.in/d-PvrGjT
πŸ‘‰Project https://t.ly/gK8hz
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🧠350+ Free #AI Courses by #Google🧠

πŸ‘‰350+ free courses from #Google to become professional in #AI & #Cloud. The full catalog (900+) includes a variety of activity: videos, documents, labs, coding, and quizzes. 15+ supported languages. No excuse.

βœ…π†πžπ§πžπ«πšπ­π’π―πž π€πˆ
βœ…πˆπ§π­π«π¨ 𝐭𝐨 π‹π‹πŒπ¬
βœ…π‚π• 𝐰𝐒𝐭𝐑 𝐓𝐅
βœ…πƒπšπ­πš, πŒπ‹, π€πˆ
βœ…π‘πžπ¬π©π¨π§π¬π’π›π₯𝐞 π€πˆ

πŸ‘‰Review: https://t.ly/517Dr
πŸ‘‰Full list: https://www.cloudskillsboost.google/catalog?page=1
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πŸ‡ Graph Neural Network in TF πŸ‡

πŸ‘‰#Google TensorFlow-GNN: novel library to build Graph Neural Networks on TensorFlow. Source Code released under Apache 2.0 license πŸ’™

πŸ‘‰Review https://t.ly/TQfg-
πŸ‘‰Code github.com/tensorflow/gnn
πŸ‘‰Blog blog.research.google/2024/02/graph-neural-networks-in-tensorflow.html
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β˜€οΈ One2Avatar: Pic -> 3D Avatar β˜€οΈ

πŸ‘‰#Google presents a new approach to generate animatable photo-realistic avatars from only a few/one image. Impressive results.

πŸ‘‰Review https://t.ly/AS1oc
πŸ‘‰Paper arxiv.org/pdf/2402.11909.pdf
πŸ‘‰Project zhixuany.github.io/one2avatar_webpage/
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