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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๐ŸŒˆ Tracking by Persistent Dynamic View Synthesis ๐ŸŒˆ

๐Ÿ‘‰Novel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements

๐Ÿ˜ŽReview https://t.ly/Bc535
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.09713.pdf
๐Ÿ˜ŽProject dynamic3dgaussians.github.io
๐Ÿ˜ŽCode github.com/JonathonLuiten/Dynamic3DGaussians
๐Ÿคฏ10๐Ÿ”ฅ3๐Ÿ˜ฑ1
๐Ÿ›’ Digital Twins for AutoRetail Checkout ๐Ÿ›’

๐Ÿ‘‰From #Nvidia a novel approach for using 3D assets for training 2D detection and tracking model in AutoRetail Checkout

๐Ÿ˜ŽReview https://t.ly/Ea7kt
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.09708.pdf
๐Ÿ˜ŽCode github.com/yorkeyao/Automated-Retail-Checkout
๐Ÿ”ฅ2๐Ÿฅฐ2๐Ÿ˜ฑ2
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๐ŸฅŽSportsMOT + MixSort = Sport MOT๐ŸฅŽ

๐Ÿ‘‰Nanjing just released a MOT dataset for sports scenes + the SOTA code/model for tracking (MixSort)

๐Ÿ˜ŽReview https://t.ly/NHUxL
๐Ÿ˜ŽPaper arxiv.org/pdf/2304.05170.pdf
๐Ÿ˜ŽCode github.com/MCG-NJU/MixSort
๐Ÿ˜ŽProject deeperaction.github.io/datasets/sportsmot.html
๐Ÿ”ฅ12๐Ÿ‘2๐Ÿคฏ2โค1๐Ÿคฉ1
โšก๏ธFeature Matching at Light Speedโšก๏ธ

๐Ÿ‘‰LightGlue is a lightweight feature matcher with high accuracy and blazing fast inference

๐Ÿ˜ŽReview https://t.ly/jkecX
๐Ÿ˜ŽPaper arxiv.org/pdf/2306.13643.pdf
๐Ÿ˜ŽCode github.com/cvg/LightGlue
โค23๐Ÿ”ฅ6๐Ÿ˜ฑ4๐Ÿ‘3โšก2๐Ÿพ1
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๐Ÿ•น๏ธ CoDeF: Video Content Deformation Fields ๐Ÿ•น๏ธ

๐Ÿ‘‰CoDeF is a new type of video representation for video-editing tasks

๐Ÿ˜ŽReview https://t.ly/PIVl-
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.07926.pdf
๐Ÿ˜ŽProject https://qiuyu96.github.io/CoDeF
๐Ÿ˜ŽCode https://github.com/qiuyu96/CoDeF
โค18๐Ÿ”ฅ4๐Ÿ‘2๐Ÿฅฐ1๐Ÿคฏ1๐Ÿ˜ฑ1
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!

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๐ŸงกJUST AI & SCIENCE

โš ๏ธ BAN AT THE FIRST VIOLATION โš ๏ธ
โค44๐Ÿ‘28๐Ÿ”ฅ6๐Ÿ‘1๐Ÿคฏ1๐Ÿพ1
AI with Papers - Artificial Intelligence & Deep Learning pinned ยซHello 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! ๐Ÿ”ฅ NO SPAM ๐Ÿ”ฅ NO COMMERCIAL ๐Ÿ”ฅ NO UNRESPECTFUL MESSAGEs ๐ŸงกJUST AI & SCIENCE โš ๏ธ BAN AT THE FIRSTโ€ฆยป
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๐Ÿฆ  Instance-Level Semantics of Cells ๐Ÿฆ 

๐Ÿ‘‰TYC: novel dataset for understanding instance-level semantics & motions of cells in microstructures

๐Ÿ˜ŽReview https://t.ly/y-4VZ
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.12116.pdf
๐Ÿ˜ŽProject christophreich1996.github.io/tyc_dataset/
๐Ÿ˜ŽCode github.com/ChristophReich1996/TYC-Dataset
๐Ÿ˜ŽData tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3930
๐Ÿ‘8๐Ÿ”ฅ3โค1โšก1๐Ÿคฏ1
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๐ŸŒตPOCO: 3D HPS + Confidence๐ŸŒต

๐Ÿ‘‰ Novel framework for HPS: #3D human body + confidence in a single feed-forward pass

๐Ÿ˜ŽReview https://t.ly/cDePe
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.12965.pdf
๐Ÿ˜ŽProject https://poco.is.tue.mpg.de
๐Ÿ”ฅ5๐Ÿ‘3โค2๐Ÿคฏ1๐Ÿ˜ฑ1
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๐ŸŒ† NeO360: NeRF for Sparse Outdoor ๐ŸŒ†

๐Ÿ‘‰#Toyota (+GIT) unveils NeO360: 360โ—ฆ outdoor scenes from a single or a few posed RGB images

๐Ÿ˜ŽReview https://t.ly/JDJZg
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.12967.pdf
๐Ÿ˜ŽProject zubair-irshad.github.io/projects/neo360.html
โค13๐Ÿ‘3๐Ÿ”ฅ2๐Ÿฅฐ1๐Ÿคฏ1
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๐Ÿฅ• Scenimefy: I-2-I for anime ๐Ÿฅ•

๐Ÿ‘‰S-Lab unveils a novel semi-supervised I-2-I translation framework + HD dataset for anime

๐Ÿ˜ŽReview https://t.ly/IsdEG
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.12968.pdf
๐Ÿ˜ŽCode https://github.com/Yuxinn-J/Scenimefy
๐Ÿ˜ŽProject https://yuxinn-j.github.io/projects/Scenimefy.html
๐Ÿฅฐ13โค2๐Ÿ”ฅ1๐Ÿพ1
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๐Ÿจ Watch Your Steps: Editing by Text ๐Ÿจ

๐Ÿ‘‰The novel SOTA in image & scene (text) editing via denoising diffusion models

๐Ÿ˜ŽReview https://t.ly/fv9wn
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.08947.pdf
๐Ÿ˜ŽProject ashmrz.github.io/WatchYourSteps
โค4๐Ÿ‘3๐Ÿคฏ3๐Ÿ”ฅ1
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๐Ÿ’ก Relighting NeRF ๐Ÿ’ก

๐Ÿ‘‰Neural implicit radiance representation for free viewpoint relighting of an object lit by a moving point light

๐Ÿ˜ŽReview https://t.ly/J-3_L
๐Ÿ˜ŽProject nrhints.github.io
๐Ÿ˜ŽCode github.com/iamNCJ/NRHints
๐Ÿ˜ŽPaper nrhints.github.io/pdfs/nrhints-sig23.pdf
๐Ÿคฏ3๐Ÿ‘2โค1โšก1๐Ÿ”ฅ1
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๐Ÿชถ ReST: Multi-Camera MOT ๐Ÿชถ

๐Ÿ‘‰Novel reconfigurable two-steps graph model for multi-camera multi object video tracking (MC-MOT)

๐Ÿ˜ŽReview https://t.ly/3C5tb
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.13229.pdf
๐Ÿ˜ŽCode github.com/chengche6230/ReST
๐Ÿ”ฅ7โค3๐Ÿคฉ2
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๐ŸŒฒMagicEdit: Magic Video Edit๐ŸŒฒ

๐Ÿ‘‰MagicEdit: explicit disentangling content, structure & motion for Hi-Fi and temporally coherent video editing

๐Ÿ˜ŽReport https://t.ly/tREX4
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.14749.pdf
๐Ÿ˜ŽProject magic-edit.github.io
๐Ÿ˜ŽCode github.com/magic-research/magic-edit
๐Ÿฅฐ8โค4๐Ÿ‘3๐Ÿ”ฅ1๐Ÿ˜ฑ1๐Ÿคฉ1
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โœ‚๏ธ VideoCutLER: Simple UVIS โœ‚๏ธ

๐Ÿ‘‰VideoCutLER is a simple unsupervised video instance segmentation (UVIS) method without relying on optical flows

๐Ÿ˜ŽReview https://t.ly/PBBjG
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.14710.pdf
๐Ÿ˜ŽProject people.eecs.berkeley.edu/~xdwang/projects/CutLER
๐Ÿ˜ŽCode github.com/facebookresearch/CutLER/tree/main/videocutler
๐Ÿ”ฅ8๐Ÿ‘3โค2๐Ÿคฏ1
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๐Ÿฆ 3D Pigeons Pose & Tracking ๐Ÿฆ

๐Ÿ‘‰ 3D-MuPPET: estimate and track 3D poses of pigeons with multiple-views

๐Ÿ˜ŽReview https://t.ly/jfAJJ
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.15316.pdf
๐Ÿ˜ŽCode github.com/alexhang212/3D-MuPPET/
๐Ÿคฃ17๐Ÿคฏ14๐Ÿ‘4๐Ÿฅฐ2โค1๐Ÿคฉ1
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๐ŸŽRoboTAP: Dense Tracking for Few-Shot Imitation๐ŸŽ

๐Ÿ‘‰RoboTAP: novel dense tracking representation for robotic arm

๐Ÿ˜ŽReview https://t.ly/MCO_V
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.15975.pdf
๐Ÿ˜ŽProject https://robotap.github.io/
๐Ÿ˜ŽCode github.com/deepmind/tapnet
๐Ÿ”ฅ8๐Ÿ‘2๐Ÿคฏ2๐Ÿคฉ1
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โ›บFACET: Fairness in Computer Visionโ›บ

๐Ÿ‘‰#META AI opens a large, publicly available dataset for classification, detection & segmentation. Potential performance disparities & challenges across sensitive demographic attributes

๐Ÿ˜ŽReview https://t.ly/mKn-t
๐Ÿ˜ŽPaper arxiv.org/pdf/2309.00035.pdf
๐Ÿ˜ŽDataset https://facet.iss.onetademolab.com/
๐Ÿ”ฅ10โค6๐Ÿ‘4๐Ÿ‘1
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โ™Š๏ธ Doppelgangers in Structures โ™Š๏ธ

๐Ÿ‘‰A novel learning-based approach for visual disambiguation: distinguishing illusory matches to produce correct, disambiguated #3D reconstructions

๐Ÿ˜ŽReview https://t.ly/9yLot
๐Ÿ˜ŽPaper arxiv.org/pdf/2309.02420.pdf
๐Ÿ˜ŽCode github.com/RuojinCai/Doppelgangers
๐Ÿ˜ŽProject doppelgangers-3d.github.io/
๐Ÿ”ฅ8๐Ÿ‘3๐Ÿคฏ2๐Ÿ‘1