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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🍑 DWPose: 2-stage Pose Distillation 🍑

πŸ‘‰ Tsinghua (+IDEA) unveils a novel two-stage pose Distillation for whole-body pose estimation.

😎Review https://t.ly/BSi20
😎Paper arxiv.org/pdf/2307.15880.pdf
😎Code github.com/IDEA-Research/DWPose
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πŸ‘— Multimodal Neural Designer πŸ‘—

πŸ‘‰ Multimodal #AI that can generate novel fashion images conditioned on text, keypoints, and sketches

😎Review https://t.ly/zVk70
😎Paper arxiv.org/pdf/2304.02051.pdf
😎Code github.com/aimagelab/multimodal-garment-designer
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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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🎠Neural Closed-Loop Simulator🎠

πŸ‘‰A neural sensor simulator that takes a single recorded log captured by a sensor-equipped vehicle and converts it into a realistic closed-loop multi-sensor simulation

😎Review https://t.ly/EcRLc
😎Paper arxiv.org/pdf/2308.01898.pdf
😎Project https://waabi.ai/unisim/
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πŸ™ A quick poll for helping me in improving the quality of the contents about #computervision.

Please give me a feedback here: https://t.ly/qXb4C

Thanks :)
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AI with Papers - Artificial Intelligence & Deep Learning pinned Β«πŸ™ A quick poll for helping me in improving the quality of the contents about #computervision. Please give me a feedback here: https://t.ly/qXb4C Thanks :)Β»
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πŸͺ› HANDAL: Real-World Manipulable Objects πŸͺ›

πŸ‘‰ #Nvidia unveils HANDAL dataset: category-level object pose and affordance prediction

😎Review https://t.ly/MXZDI
😎Paper arxiv.org/pdf/2308.01477.pdf
😎Dataset wenbowen123.github.io/handaldataset
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🎨 Interactive Neural Painting 🎨

πŸ‘‰ Novel AI-powered tool to help artists in completing their artworks

😎Review https://t.ly/ELUb0
😎Paper arxiv.org/pdf/2307.16441.pdf
😎Project helia95.github.io/inp-website
😎Supp helia95.github.io/inp-website/supp_mat.html
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πŸ‘©β€πŸš€ HD Avatar via Text & Pose πŸ‘©β€πŸš€

πŸ‘‰ Generating expressive #3D avatars from nothing but text descriptions & pose guidance

😎Review https://t.ly/wrSMH
😎Paper arxiv.org/pdf/2308.03610.pdf
😎Project avatarverse3d.github.io
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🐘 Controllable Synthetic Data (extending Image-Net) 🐘

πŸ‘‰#META's PUG, a new generation of interactive environments for representation learning. Extending Image-Net!

😎Review https://t.ly/nCYs0
😎Paper arxiv.org/pdf/2308.03977.pdf
😎Project pug.metademolab.com
😎Code github.com/facebookresearch/PUG
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🌈 Tracking by Persistent Dynamic View Synthesis 🌈

πŸ‘‰Novel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements

😎Review https://t.ly/Bc535
😎Paper arxiv.org/pdf/2308.09713.pdf
😎Project dynamic3dgaussians.github.io
😎Code github.com/JonathonLuiten/Dynamic3DGaussians
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πŸ›’ Digital Twins for AutoRetail Checkout πŸ›’

πŸ‘‰From #Nvidia a novel approach for using 3D assets for training 2D detection and tracking model in AutoRetail Checkout

😎Review https://t.ly/Ea7kt
😎Paper arxiv.org/pdf/2308.09708.pdf
😎Code github.com/yorkeyao/Automated-Retail-Checkout
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πŸ₯ŽSportsMOT + MixSort = Sport MOTπŸ₯Ž

πŸ‘‰Nanjing just released a MOT dataset for sports scenes + the SOTA code/model for tracking (MixSort)

😎Review https://t.ly/NHUxL
😎Paper arxiv.org/pdf/2304.05170.pdf
😎Code github.com/MCG-NJU/MixSort
😎Project deeperaction.github.io/datasets/sportsmot.html
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⚑️Feature Matching at Light Speed⚑️

πŸ‘‰LightGlue is a lightweight feature matcher with high accuracy and blazing fast inference

😎Review https://t.ly/jkecX
😎Paper arxiv.org/pdf/2306.13643.pdf
😎Code github.com/cvg/LightGlue
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πŸ•ΉοΈ CoDeF: Video Content Deformation Fields πŸ•ΉοΈ

πŸ‘‰CoDeF is a new type of video representation for video-editing tasks

😎Review https://t.ly/PIVl-
😎Paper arxiv.org/pdf/2308.07926.pdf
😎Project https://qiuyu96.github.io/CoDeF
😎Code https://github.com/qiuyu96/CoDeF
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Hello everybody,
a lot of you asked me to open the comments to better enjoy the posts. I want to follow your suggestion, hope you will enjoy this new mood!

πŸ”₯ NO SPAM
πŸ”₯ NO COMMERCIAL
πŸ”₯ NO UNRESPECTFUL MESSAGEs

🧑JUST AI & SCIENCE

⚠️ BAN AT THE FIRST VIOLATION ⚠️
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AI with Papers - Artificial Intelligence & Deep Learning pinned Β«Hello everybody, a lot of you asked me to open the comments to better enjoy the posts. I want to follow your suggestion, hope you will enjoy this new mood! πŸ”₯ NO SPAM πŸ”₯ NO COMMERCIAL πŸ”₯ NO UNRESPECTFUL MESSAGEs 🧑JUST AI & SCIENCE ⚠️ BAN AT THE FIRST…»
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🦠 Instance-Level Semantics of Cells 🦠

πŸ‘‰TYC: novel dataset for understanding instance-level semantics & motions of cells in microstructures

😎Review https://t.ly/y-4VZ
😎Paper arxiv.org/pdf/2308.12116.pdf
😎Project christophreich1996.github.io/tyc_dataset/
😎Code github.com/ChristophReich1996/TYC-Dataset
😎Data tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3930
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🌡POCO: 3D HPS + Confidence🌡

πŸ‘‰ Novel framework for HPS: #3D human body + confidence in a single feed-forward pass

😎Review https://t.ly/cDePe
😎Paper arxiv.org/pdf/2308.12965.pdf
😎Project https://poco.is.tue.mpg.de
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