🩻 Independent Tokens for 3D Human 🩻

👉Tencent open-sourcing a novel method to estimate #3D human pose and shape from monocular videos

😎Review https://bit.ly/3Zz0uiH
😎Paper arxiv.org/pdf/2303.00298.pdf
😎Code github.com/yangsenius/INT_HMR_Model
😎Project yangsenius.github.io/INT_HMR_Model/index.html

🌸 3DGP: ImageNet in #3D 🌸

👉 Snap unveils 3DGP: a novel 3D generator with Generic Priors

😎Review https://bit.ly/3KWHUgG
😎Paper arxiv.org/pdf/2303.01416.pdf
😎Project snap-research.github.io/3dgp/
😎Code github.com/snap-research/3dgp

🗺️ S-NeRF: NeRF for Street Views 🗺️

👉S-NeRF: novel view synthesis of streets & foreground moving vehicles jointly

😎Review https://bit.ly/3KZUN9w
😎Paper arxiv.org/pdf/2303.00749.pdf
😎Project ziyang-xie.github.io/s-nerf/
😎Code (soon)

🧱 MobileBrick: #3D object on mobile 🧱

👉#Apple (+Oxford) exploiting #LEGO bricks to open the most precise #3D dataset ever. Suitable for mobile #AR

😎Review https://bit.ly/3ZqbiAh
😎Paper arxiv.org/pdf/2303.01932.pdf
😎Project code.active.vision/MobileBrick/
😎Code github.com/ActiveVisionLab/MobileBrick

⚠️ BREAKING: Stability Acquires Init ML ⚠️

👉 Stability AI (#stablediffusion) announces the acquisition of Clipdrop makers 🤯

👉 More: https://bit.ly/3JhKkVO

🧩 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

🚀 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

🐢 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

🎀 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

🐍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

💀 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

📘 e-book: Understanding Deep Learning 📘

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

😎Download https://bit.ly/3JUHMNv

🛌 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

🌈 #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

🔥 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 🤣

🪲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

🥦 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

📊 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