AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates about #DeepLearning, #MachineLearning, LLMs and #ComputerVision

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/

#artificialintelligence #machinelearning #ml #AI
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🐠🐡 DeepSeeColor: Under the Sea in Colors 🐡🐠

👉 DeepSeeColor: real-time adaptive color correction under the sea

😎Review https://bit.ly/3mxGuyP
😎Paper arxiv.org/pdf/2303.04025.pdf
😎Code warp.whoi.edu/deepseecolor
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🧩 X-Avatar: Expressive Human Avatars 🧩

👉ETHZ (+Microsoft) unveils X-Avatar: digital expressive humans for life-like experiences (#AR / #VR)

😎Review https://bit.ly/3J6YDLH
😎Paper arxiv.org/pdf/2303.04805.pdf
😎Project https://skype-line.github.io/projects/X-Avatar/
😎Code https://github.com/Skype-line/X-Avatar
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🚀 Visual ChatGPT: Talking, Drawing & Editing 🚀

👉 Microsoft extends ChatGPT to handle visual information

😎Review https://bit.ly/3LkSJJD
😎Paper arxiv.org/pdf/2303.04671.pdf
😎Code github.com/microsoft/visual-chatgpt
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🐢 GigaGAN: ultra-GAN Synthesis 🐢

👉 Novel method that far exceeds the previous limits of GAN -> ultra HD images!

😎Review https://bit.ly/3ZYnZBX
😎Paper arxiv.org/pdf/2303.05511.pdf
😎Project mingukkang.github.io/GigaGAN
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🎀 The baby is born: GPT-4 is out! 🎀

👉GPT-4 is the new LLM (accepting image and text inputs, emitting text outputs) with human-level performance on various professional and academic benchmarks

😎More: https://bit.ly/3LntuWL
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🐍ViperGPT: Visual Inference / Reasoning🐍

👉ViperGPT: vision/language -> code to produce results for any query

😎Review https://bit.ly/3n6yw01
😎Paper arxiv.org/pdf/2303.08128.pdf
😎Project viper.cs.columbia.edu/
😎Code github.com/cvlab-columbia/viper
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💀 SDFStudio: Unified Surface Reconstruction 💀

👉A unified (and open) framework for neural implicit surface reconstruction

😎Review https://bit.ly/3yUvuP2
😎Project autonomousvision.github.io/sdfstudio
😎Code github.com/autonomousvision/sdfstudio
😎Doc github.com/autonomousvision/sdfstudio/blob/master/docs/sdfstudio-methods.md
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📘 e-book: Understanding Deep Learning 📘

👉From MIT Press, a free & fresh book for mastering the Deep Learning & #AI

😎Download https://bit.ly/3JUHMNv
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🛌 CC3D: Layout-Conditioned 3D 🛌

👉A novel step towards the realistic multi-object scene generation

😎Review https://bit.ly/3JXG0v3
😎Paper arxiv.org/pdf/2303.12074.pdf
😎Project sherwinbahmani.github.io/cc3d
😎Code github.com/sherwinbahmani/cc3d
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🌈 #3D editing via text instructions 🌈

👉A novel method for editing NeRF scenes with text-instructions

😎Review https://bit.ly/3K3putM
😎Paper arxiv.org/pdf/2303.12789.pdf
😎Project instruct-nerf2nerf.github.io
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🔥 Is ChatGPT (close to) an AGI? 🔥

👉According to Microsoft #ChatGPT is an early (yet still incomplete) version of an artificial general intelligence system. Math, coding, vision, medicine, law, psychology and more.

👉Flame here: https://bit.ly/3K3Q1XC 🤣
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🪲Neural 4K Color Style Transfer🪲

👉#Adobe 4K color style transfer: no artifacts, low memory & super-speed!

😎Review https://bit.ly/3TNKtUE
😎Paper arxiv.org/pdf/2303.13511.pdf
😎Project zhkkke.github.io/NeuralPreset
😎Code github.com/ZHKKKe/NeuralPreset
😎Demo zhkkke.github.io/NeuralPreset/#/editor
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🥦 ReBotNet: Neural Enhancement 🥦

👉#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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📊 Neural vs. Old School ML 📊

The choice of Deep Learning-based AI vs. traditional ML may depend on the specific application and problem being addressed.

👉 What's your favorite approach? Please vote: https://bit.ly/3LQU774
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🛎 Neural Tracking + 3D Reconstruction 🛎

👉The novel SOTA for real-time 6-DoF tracking of unknown objects, simultaneously performing neural 3D

😎Review https://bit.ly/3lHVoT2
😎Paper arxiv.org/pdf/2303.14158.pdf
😎Project bundlesdf.github.io/
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🦒SOTA ALERT: Synthetic 3D Cities 🦒

👉UrbanGIRAFFE: novel SOTA generator of photorealistic #3D-aware urban image with full controllability

😎Review https://bit.ly/42ZdX5Q
😎Paper arxiv.org/pdf/2303.14167.pdf
😎Project lv3d.github.io/urbanGIRAFFE
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🔥 "Segmenting Anything". CRAZY! 🔥

👉#Meta unveils a novel model and (1B+) dataset for neural segmentation 🤯

😎Review https://bit.ly/3nM2uXx
😎Paper https://bit.ly/43788DC
😎Project https://segment-anything.com
😎Code github.com/facebookresearch/segment-anything
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💦 SegGPT: Segmenting Everything (In Context) 💦

👉BAAI unveils SegGPT, a generalist model for segmenting everything in context

😎Review https://bit.ly/3zFkUf2
😎Paper arxiv.org/pdf/2304.03284.pdf
😎Code github.com/baaivision/Painter
😎Demo huggingface.co/spaces/BAAI/SegGPT
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