AI with Papers - Artificial Intelligence & Deep Learning
๐ฝ Neuralangelo Digital Twins. INSANE๐ฝ ๐ A novel framework from #Nvidia for Hi-Fi 3D Digital twins. ๐Review https://t.ly/rxoF4 ๐Project research.nvidia.com/labs/dir/neuralangelo ๐Paper research.nvidia.com/labs/dir/neuralangelo/paper.pdf
GitHub
GitHub - NVlabs/neuralangelo: Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023) - NVlabs/neuralangelo
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๐ Tracking by Persistent Dynamic View Synthesis ๐
๐Novel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements
๐Review https://t.ly/Bc535
๐Paper arxiv.org/pdf/2308.09713.pdf
๐Project dynamic3dgaussians.github.io
๐Code github.com/JonathonLuiten/Dynamic3DGaussians
๐Novel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements
๐Review https://t.ly/Bc535
๐Paper arxiv.org/pdf/2308.09713.pdf
๐Project dynamic3dgaussians.github.io
๐Code github.com/JonathonLuiten/Dynamic3DGaussians
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๐ Digital Twins for AutoRetail Checkout ๐
๐From #Nvidia a novel approach for using 3D assets for training 2D detection and tracking model in AutoRetail Checkout
๐Review https://t.ly/Ea7kt
๐Paper arxiv.org/pdf/2308.09708.pdf
๐Code github.com/yorkeyao/Automated-Retail-Checkout
๐From #Nvidia a novel approach for using 3D assets for training 2D detection and tracking model in AutoRetail Checkout
๐Review https://t.ly/Ea7kt
๐Paper arxiv.org/pdf/2308.09708.pdf
๐Code github.com/yorkeyao/Automated-Retail-Checkout
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๐ฅSportsMOT + MixSort = Sport MOT๐ฅ
๐Nanjing just released a MOT dataset for sports scenes + the SOTA code/model for tracking (MixSort)
๐Review https://t.ly/NHUxL
๐Paper arxiv.org/pdf/2304.05170.pdf
๐Code github.com/MCG-NJU/MixSort
๐Project deeperaction.github.io/datasets/sportsmot.html
๐Nanjing just released a MOT dataset for sports scenes + the SOTA code/model for tracking (MixSort)
๐Review https://t.ly/NHUxL
๐Paper arxiv.org/pdf/2304.05170.pdf
๐Code github.com/MCG-NJU/MixSort
๐Project deeperaction.github.io/datasets/sportsmot.html
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โก๏ธFeature Matching at Light Speedโก๏ธ
๐LightGlue is a lightweight feature matcher with high accuracy and blazing fast inference
๐Review https://t.ly/jkecX
๐Paper arxiv.org/pdf/2306.13643.pdf
๐Code github.com/cvg/LightGlue
๐LightGlue is a lightweight feature matcher with high accuracy and blazing fast inference
๐Review https://t.ly/jkecX
๐Paper arxiv.org/pdf/2306.13643.pdf
๐Code github.com/cvg/LightGlue
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๐น๏ธ CoDeF: Video Content Deformation Fields ๐น๏ธ
๐CoDeF is a new type of video representation for video-editing tasks
๐Review https://t.ly/PIVl-
๐Paper arxiv.org/pdf/2308.07926.pdf
๐Project https://qiuyu96.github.io/CoDeF
๐Code https://github.com/qiuyu96/CoDeF
๐CoDeF is a new type of video representation for video-editing tasks
๐Review https://t.ly/PIVl-
๐Paper arxiv.org/pdf/2308.07926.pdf
๐Project https://qiuyu96.github.io/CoDeF
๐Code 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!
๐ฅ NO SPAM
๐ฅ NO COMMERCIAL
๐ฅ NO UNRESPECTFUL MESSAGEs
๐งกJUST AI & SCIENCE
โ ๏ธ BAN AT THE FIRST VIOLATION โ ๏ธ
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!
๐ฅ NO SPAM
๐ฅ NO COMMERCIAL
๐ฅ NO UNRESPECTFUL MESSAGEs
๐งกJUST AI & SCIENCE
โ ๏ธ BAN AT THE FIRST VIOLATION โ ๏ธ
โค44๐28๐ฅ6๐1๐คฏ1๐พ1
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! ๐ฅ NO SPAM ๐ฅ NO COMMERCIAL ๐ฅ NO UNRESPECTFUL MESSAGEs ๐งกJUST AI & SCIENCE โ ๏ธ BAN AT THE FIRSTโฆยป
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๐ฆ Instance-Level Semantics of Cells ๐ฆ
๐TYC: novel dataset for understanding instance-level semantics & motions of cells in microstructures
๐Review https://t.ly/y-4VZ
๐Paper arxiv.org/pdf/2308.12116.pdf
๐Project christophreich1996.github.io/tyc_dataset/
๐Code github.com/ChristophReich1996/TYC-Dataset
๐Data tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3930
๐TYC: novel dataset for understanding instance-level semantics & motions of cells in microstructures
๐Review https://t.ly/y-4VZ
๐Paper arxiv.org/pdf/2308.12116.pdf
๐Project christophreich1996.github.io/tyc_dataset/
๐Code github.com/ChristophReich1996/TYC-Dataset
๐Data tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3930
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๐ตPOCO: 3D HPS + Confidence๐ต
๐ Novel framework for HPS: #3D human body + confidence in a single feed-forward pass
๐Review https://t.ly/cDePe
๐Paper arxiv.org/pdf/2308.12965.pdf
๐Project https://poco.is.tue.mpg.de
๐ Novel framework for HPS: #3D human body + confidence in a single feed-forward pass
๐Review https://t.ly/cDePe
๐Paper arxiv.org/pdf/2308.12965.pdf
๐Project https://poco.is.tue.mpg.de
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๐ NeO360: NeRF for Sparse Outdoor ๐
๐#Toyota (+GIT) unveils NeO360: 360โฆ outdoor scenes from a single or a few posed RGB images
๐Review https://t.ly/JDJZg
๐Paper arxiv.org/pdf/2308.12967.pdf
๐Project zubair-irshad.github.io/projects/neo360.html
๐#Toyota (+GIT) unveils NeO360: 360โฆ outdoor scenes from a single or a few posed RGB images
๐Review https://t.ly/JDJZg
๐Paper arxiv.org/pdf/2308.12967.pdf
๐Project zubair-irshad.github.io/projects/neo360.html
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๐ฅ Scenimefy: I-2-I for anime ๐ฅ
๐S-Lab unveils a novel semi-supervised I-2-I translation framework + HD dataset for anime
๐Review https://t.ly/IsdEG
๐Paper arxiv.org/pdf/2308.12968.pdf
๐Code https://github.com/Yuxinn-J/Scenimefy
๐Project https://yuxinn-j.github.io/projects/Scenimefy.html
๐S-Lab unveils a novel semi-supervised I-2-I translation framework + HD dataset for anime
๐Review https://t.ly/IsdEG
๐Paper arxiv.org/pdf/2308.12968.pdf
๐Code https://github.com/Yuxinn-J/Scenimefy
๐Project https://yuxinn-j.github.io/projects/Scenimefy.html
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๐จ Watch Your Steps: Editing by Text ๐จ
๐The novel SOTA in image & scene (text) editing via denoising diffusion models
๐Review https://t.ly/fv9wn
๐Paper arxiv.org/pdf/2308.08947.pdf
๐Project ashmrz.github.io/WatchYourSteps
๐The novel SOTA in image & scene (text) editing via denoising diffusion models
๐Review https://t.ly/fv9wn
๐Paper arxiv.org/pdf/2308.08947.pdf
๐Project ashmrz.github.io/WatchYourSteps
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๐ก Relighting NeRF ๐ก
๐Neural implicit radiance representation for free viewpoint relighting of an object lit by a moving point light
๐Review https://t.ly/J-3_L
๐Project nrhints.github.io
๐Code github.com/iamNCJ/NRHints
๐Paper nrhints.github.io/pdfs/nrhints-sig23.pdf
๐Neural implicit radiance representation for free viewpoint relighting of an object lit by a moving point light
๐Review https://t.ly/J-3_L
๐Project nrhints.github.io
๐Code github.com/iamNCJ/NRHints
๐Paper nrhints.github.io/pdfs/nrhints-sig23.pdf
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๐ชถ ReST: Multi-Camera MOT ๐ชถ
๐Novel reconfigurable two-steps graph model for multi-camera multi object video tracking (MC-MOT)
๐Review https://t.ly/3C5tb
๐Paper arxiv.org/pdf/2308.13229.pdf
๐Code github.com/chengche6230/ReST
๐Novel reconfigurable two-steps graph model for multi-camera multi object video tracking (MC-MOT)
๐Review https://t.ly/3C5tb
๐Paper arxiv.org/pdf/2308.13229.pdf
๐Code github.com/chengche6230/ReST
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๐ฒMagicEdit: Magic Video Edit๐ฒ
๐MagicEdit: explicit disentangling content, structure & motion for Hi-Fi and temporally coherent video editing
๐Report https://t.ly/tREX4
๐Paper arxiv.org/pdf/2308.14749.pdf
๐Project magic-edit.github.io
๐Code github.com/magic-research/magic-edit
๐MagicEdit: explicit disentangling content, structure & motion for Hi-Fi and temporally coherent video editing
๐Report https://t.ly/tREX4
๐Paper arxiv.org/pdf/2308.14749.pdf
๐Project magic-edit.github.io
๐Code github.com/magic-research/magic-edit
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โ๏ธ VideoCutLER: Simple UVIS โ๏ธ
๐VideoCutLER is a simple unsupervised video instance segmentation (UVIS) method without relying on optical flows
๐Review https://t.ly/PBBjG
๐Paper arxiv.org/pdf/2308.14710.pdf
๐Project people.eecs.berkeley.edu/~xdwang/projects/CutLER
๐Code github.com/facebookresearch/CutLER/tree/main/videocutler
๐VideoCutLER is a simple unsupervised video instance segmentation (UVIS) method without relying on optical flows
๐Review https://t.ly/PBBjG
๐Paper arxiv.org/pdf/2308.14710.pdf
๐Project people.eecs.berkeley.edu/~xdwang/projects/CutLER
๐Code github.com/facebookresearch/CutLER/tree/main/videocutler
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๐ฆ 3D Pigeons Pose & Tracking ๐ฆ
๐ 3D-MuPPET: estimate and track 3D poses of pigeons with multiple-views
๐Review https://t.ly/jfAJJ
๐Paper arxiv.org/pdf/2308.15316.pdf
๐Code github.com/alexhang212/3D-MuPPET/
๐ 3D-MuPPET: estimate and track 3D poses of pigeons with multiple-views
๐Review https://t.ly/jfAJJ
๐Paper arxiv.org/pdf/2308.15316.pdf
๐Code github.com/alexhang212/3D-MuPPET/
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๐RoboTAP: Dense Tracking for Few-Shot Imitation๐
๐RoboTAP: novel dense tracking representation for robotic arm
๐Review https://t.ly/MCO_V
๐Paper arxiv.org/pdf/2308.15975.pdf
๐Project https://robotap.github.io/
๐Code github.com/deepmind/tapnet
๐RoboTAP: novel dense tracking representation for robotic arm
๐Review https://t.ly/MCO_V
๐Paper arxiv.org/pdf/2308.15975.pdf
๐Project https://robotap.github.io/
๐Code github.com/deepmind/tapnet
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โบFACET: Fairness in Computer Visionโบ
๐#META AI opens a large, publicly available dataset for classification, detection & segmentation. Potential performance disparities & challenges across sensitive demographic attributes
๐Review https://t.ly/mKn-t
๐Paper arxiv.org/pdf/2309.00035.pdf
๐Dataset https://facet.metademolab.com/
๐#META AI opens a large, publicly available dataset for classification, detection & segmentation. Potential performance disparities & challenges across sensitive demographic attributes
๐Review https://t.ly/mKn-t
๐Paper arxiv.org/pdf/2309.00035.pdf
๐Dataset https://facet.metademolab.com/
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