🪂 Parallel NeRF for 6-DoF pose 🪂

👉#Nvidia unveils a parallel NeRF for 6-DoF target pose estimation

😎Review https://bit.ly/3guWWwA
😎Paper arxiv.org/pdf/2210.10108.pdf
😎Project https://pnerfp.github.io/

🦙LaMAR: Localization/Mapping for #AR🦙

👉A new benchmark for #AR in large and unconstrained scenes

😎Review https://bit.ly/3DjlnWU
😎Paper lamar.ethz.ch/files/LaMAR.pdf
😎Project https://lamar.ethz.ch/
😎Code github.com/microsoft/lamar-benchmark

🔥New SOTA in Panoptic Segmentation🔥

👉#Google (with Hinton🤯) unveils Pix2Seq-D: novel generalist framework for panoptic segmentation

😎Review https://bit.ly/3DmpbGM
😎Paper arxiv.org/pdf/2210.06366.pdf

🎨 UniColor: Unified Colorization 🎨

👉The first unified framework for colorization via stroke, exemplar, text, and a mix of them

😎Review https://bit.ly/3gESR9y
😎Paper arxiv.org/pdf/2209.11223.pdf
😎Project luckyhzt.github.io/unicolor
😎Code (SOON)

🤯 Full-Body from head/hand signals 🤯

👉#Meta unveils AvatarPoser: first full-body pose method via user’s head/hands

😎Review https://bit.ly/3gESR9y
😎Paper arxiv.org/pdf/2207.13784.pdf
😎Code github.com/eth-siplab/AvatarPoser

🤖JRBD: Egocentric Perception of Humans🤖

👉Stanford -> JRDB-Pose: Dataset with 600,000+ body pose annotations!

😎Review https://bit.ly/3gEZBE4
😎Paper arxiv.org/pdf/1910.11792.pdf
😎Project jrdb.erc.monash.edu/

↕️SOTA Action Detector @90+ FPS!↕️

👉YOWO-plus: real-time method for spatio-temporal action detection. YOWO-Nano the fastest!

😎Review https://bit.ly/3TUdhcI
😎Paper arxiv.org/pdf/2210.11219.pdf
😎Code github.com/yjh0410/PyTorch_YOWO

🛎️🛎️Autoregressive NeRF-Avatar🛎️🛎️

👉AutoAvatar by #Meta: autoregressive method for modeling dynamically deforming human bodies from raw scans

😎Review https://bit.ly/3W0oTgo
😎Paper arxiv.org/pdf/2203.13817.pdf
😎Project zqbai-jeremy.github.io/autoavatar
😎Code github.com/facebookresearch/AutoAvatar

📯Modeling the Human Pose Manifolds📯

👉#Meta Pose-NDF: continuous model for plausible human poses based on neural distance fields

😎Review https://bit.ly/3f6X59o
😎Paper arxiv.org/pdf/2207.13807.pdf
😎Project virtualhumans.mpi-inf.mpg.de/posendf
😎Code github.com/garvita-tiwari/PoseNDF

💓 Gesture Recognition in 80's 💓

👉The #Casio AT-550 was offering the edge gesture recognition in 1984!

😎Review https://bit.ly/3fcPia6
😎Clip: youtube.com/watch?v=piFaJmYpQfQ

🎸MUSIKA! Neural ∞-audio generation🎸

👉Novel neural music generation system on single consumer GPU!

😎Listen: https://bit.ly/3W80p4U
😎Paper arxiv.org/pdf/2208.08706.pdf
😎Code github.com/marcoppasini/musika

🌨️Multi NeRF-supervised Depth-Pose🌨️

👉NeRF-supervised disentanglement of depth/camera pose from large-scale clips

😎Review https://bit.ly/3gS4Z7e
😎Paper arxiv.org/pdf/2210.07181.pdf
😎Project oasisyang.github.io/self-mpinerf

🟧 PlanT: Driving Plan w/ Transformer 🟧

👉PlanT: planning via transformer. Imitation learning with compact object-level representation

😎Review https://bit.ly/3Ni2MxN
😎Project www.katrinrenz.de/plant/
😎Paper arxiv.org/pdf/2210.14222.pdf
😎Code github.com/autonomousvision/plant

🔥Network -> C++ Converter. Pure Fire!🔥

👉Fully open source #Python framework to convert Neural Nets into C++. Lightning-fast inference💥

😎Review https://bit.ly/3gSyqWI
😎Code github.com/facebookincubator/AITemplate

💥TAVA for photo-realistic Avatars💥

👉#META unveils a novel approach for Template-free Animatable Volumetric Avatars. #Metaverse ready.

😎Review https://bit.ly/3DPDEvm
😎Paper arxiv.org/pdf/2206.08929.pdf
😎Project www.liruilong.cn/projects/tava/
😎Code github.com/facebookresearch/tava

🐀 DANNCE: animal keypoints tracking 🐀

👉DANNCE: anatomical #3D tracking across species and behaviors

😎Review https://bit.ly/3Nrx0P3
😎Code https://github.com/spoonsso/dannce

🥻Multi-Garment Virtual Try On (VTON)🥻

👉URJC unveils ULNeFs, a novel approach to efficiently solve mix-and-match VTO for multiple garment layers. SUIT UP!

😎Review https://bit.ly/3sVVAOC
😎Project mslab.es/projects/ULNeF

⚠️ #AI art is making creatives obsolete ⚠️

1. Scientist: "AI, let's make creatives obsolete"
2. AI: "Ok, let's do it! We have a deal"

👉 The AI 👆

😎More https://bit.ly/3DBWXa2

🩳 STC: Transformers MOT 🩳

👉A novel Multi-Object Tracking based on Transformers with Dense Representations

😎Review https://bit.ly/3WzQsNB
😎Paper arxiv.org/pdf/2210.13570.pdf
😎Code github.com/amitgalor18/STC_Tracker

🔥#AIwithPapers: we are 4,700!🔥

😎 Me, literally, every day 👆

😈 Share -> https://bit.ly/3fA5geu
😈 Invite friends -> https://t.iss.one/AI_DeepLearning