AI with Papers - Artificial Intelligence & Deep Learning pinned Β«π 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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  πͺ HANDAL: Real-World Manipulable Objects πͺ 
 
π #Nvidia unveils HANDAL dataset: category-level object pose and affordance prediction
 
πReview https://t.ly/MXZDI
πPaper arxiv.org/pdf/2308.01477.pdf
πDataset wenbowen123.github.io/handaldataset
π #Nvidia unveils HANDAL dataset: category-level object pose and affordance prediction
πReview https://t.ly/MXZDI
πPaper arxiv.org/pdf/2308.01477.pdf
πDataset wenbowen123.github.io/handaldataset
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  π¨  Interactive Neural Painting π¨ 
 
π Novel AI-powered tool to help artists in completing their artworks
 
πReview https://t.ly/ELUb0
πPaper arxiv.org/pdf/2307.16441.pdf
πProject helia95.github.io/inp-website
πSupp helia95.github.io/inp-website/supp_mat.html
π Novel AI-powered tool to help artists in completing their artworks
πReview https://t.ly/ELUb0
πPaper arxiv.org/pdf/2307.16441.pdf
πProject helia95.github.io/inp-website
πSupp helia95.github.io/inp-website/supp_mat.html
π€©4π€―2β€1π1π±1
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  π©βπ HD Avatar via Text & Pose π©βπ 
 
π Generating expressive #3D avatars from nothing but text descriptions & pose guidance
 
πReview https://t.ly/wrSMH
πPaper arxiv.org/pdf/2308.03610.pdf
πProject avatarverse3d.github.io
π Generating expressive #3D avatars from nothing but text descriptions & pose guidance
πReview https://t.ly/wrSMH
πPaper arxiv.org/pdf/2308.03610.pdf
πProject avatarverse3d.github.io
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  π Controllable Synthetic Data (extending Image-Net) π 
 
π#META's PUG, a new generation of interactive environments for representation learning. Extending Image-Net!
 
πReview https://t.ly/nCYs0
πPaper arxiv.org/pdf/2308.03977.pdf
πProject pug.metademolab.com
πCode github.com/facebookresearch/PUG
π#META's PUG, a new generation of interactive environments for representation learning. Extending Image-Net!
πReview https://t.ly/nCYs0
πPaper arxiv.org/pdf/2308.03977.pdf
πProject pug.metademolab.com
πCode github.com/facebookresearch/PUG
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  AI with Papers - Artificial Intelligence & Deep Learning
π½ Neuralangelo Digital Twins. INSANEπ½    π A novel framework from #Nvidia for Hi-Fi 3D Digital twins.    πReview https://t.ly/rxoF4 πProject research.nvidia.com/labs/dir/neuralangelo πPaper 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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  π  Tracking by Persistent Dynamic View Synthesis  π 
 
πNovel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements
 
πReview https://t.ly/Bc535
πPaper arxiv.org/pdf/2308.09713.pdf
πProject dynamic3dgaussians.github.io
πCode github.com/JonathonLuiten/Dynamic3DGaussians
πNovel simultaneous addressing of dynamic scene novel-view synthesis + 6-DOF tracking of all dense scene elements
πReview https://t.ly/Bc535
πPaper arxiv.org/pdf/2308.09713.pdf
πProject dynamic3dgaussians.github.io
πCode github.com/JonathonLuiten/Dynamic3DGaussians
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  π Digital Twins for AutoRetail Checkout  π 
 
πFrom #Nvidia a novel approach for using 3D assets for training 2D detection and tracking model in AutoRetail Checkout
 
πReview https://t.ly/Ea7kt
πPaper arxiv.org/pdf/2308.09708.pdf
πCode github.com/yorkeyao/Automated-Retail-Checkout
πFrom #Nvidia a novel approach for using 3D assets for training 2D detection and tracking model in AutoRetail Checkout
πReview https://t.ly/Ea7kt
πPaper arxiv.org/pdf/2308.09708.pdf
πCode github.com/yorkeyao/Automated-Retail-Checkout
π₯2π₯°2π±2
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  π₯SportsMOT + MixSort = Sport MOTπ₯ 
 
πNanjing just released a MOT dataset for sports scenes + the SOTA code/model for tracking (MixSort)
 
πReview https://t.ly/NHUxL
πPaper arxiv.org/pdf/2304.05170.pdf
πCode github.com/MCG-NJU/MixSort
πProject deeperaction.github.io/datasets/sportsmot.html
πNanjing just released a MOT dataset for sports scenes + the SOTA code/model for tracking (MixSort)
πReview https://t.ly/NHUxL
πPaper arxiv.org/pdf/2304.05170.pdf
πCode github.com/MCG-NJU/MixSort
πProject deeperaction.github.io/datasets/sportsmot.html
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  β‘οΈFeature Matching at Light Speedβ‘οΈ 
 
πLightGlue is a lightweight feature matcher with high accuracy and blazing fast inference
 
πReview https://t.ly/jkecX
πPaper arxiv.org/pdf/2306.13643.pdf
πCode github.com/cvg/LightGlue
πLightGlue is a lightweight feature matcher with high accuracy and blazing fast inference
πReview https://t.ly/jkecX
πPaper arxiv.org/pdf/2306.13643.pdf
πCode github.com/cvg/LightGlue
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  πΉοΈ CoDeF: Video Content Deformation Fields πΉοΈ 
 
πCoDeF is a new type of video representation for video-editing tasks
 
πReview https://t.ly/PIVl-
πPaper arxiv.org/pdf/2308.07926.pdf
πProject https://qiuyu96.github.io/CoDeF
πCode https://github.com/qiuyu96/CoDeF
πCoDeF is a new type of video representation for video-editing tasks
πReview https://t.ly/PIVl-
πPaper arxiv.org/pdf/2308.07926.pdf
πProject https://qiuyu96.github.io/CoDeF
πCode 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!
π₯ NO SPAM
π₯ NO COMMERCIAL
π₯ NO UNRESPECTFUL MESSAGEs
 
π§‘JUST AI & SCIENCE
 
β οΈ BAN AT THE FIRST VIOLATION β οΈ
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!
π₯ NO SPAM
π₯ NO COMMERCIAL
π₯ NO UNRESPECTFUL MESSAGEs
π§‘JUST AI & SCIENCE
β οΈ BAN AT THE FIRST VIOLATION β οΈ
β€44π28π₯6π1π€―1πΎ1
  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!   π₯ NO SPAM  π₯ NO COMMERCIAL  π₯ NO UNRESPECTFUL MESSAGEs    π§‘JUST AI & SCIENCE     β οΈ BAN AT THE FIRSTβ¦Β»
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  π¦  Instance-Level Semantics of Cells π¦  
 
πTYC: novel dataset for understanding instance-level semantics & motions of cells in microstructures
 
πReview https://t.ly/y-4VZ
πPaper arxiv.org/pdf/2308.12116.pdf
πProject christophreich1996.github.io/tyc_dataset/
πCode github.com/ChristophReich1996/TYC-Dataset
πData tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3930
πTYC: novel dataset for understanding instance-level semantics & motions of cells in microstructures
πReview https://t.ly/y-4VZ
πPaper arxiv.org/pdf/2308.12116.pdf
πProject christophreich1996.github.io/tyc_dataset/
πCode github.com/ChristophReich1996/TYC-Dataset
πData tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3930
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  π΅POCO: 3D HPS + Confidenceπ΅ 
 
π Novel framework for HPS: #3D human body + confidence in a single feed-forward pass
 
πReview https://t.ly/cDePe
πPaper arxiv.org/pdf/2308.12965.pdf
πProject https://poco.is.tue.mpg.de
π Novel framework for HPS: #3D human body + confidence in a single feed-forward pass
πReview https://t.ly/cDePe
πPaper arxiv.org/pdf/2308.12965.pdf
πProject https://poco.is.tue.mpg.de
π₯5π3β€2π€―1π±1
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  π NeO360: NeRF for Sparse Outdoor π 
 
π#Toyota (+GIT) unveils NeO360: 360β¦ outdoor scenes from a single or a few posed RGB images
 
πReview https://t.ly/JDJZg
πPaper arxiv.org/pdf/2308.12967.pdf
πProject zubair-irshad.github.io/projects/neo360.html
π#Toyota (+GIT) unveils NeO360: 360β¦ outdoor scenes from a single or a few posed RGB images
πReview https://t.ly/JDJZg
πPaper arxiv.org/pdf/2308.12967.pdf
πProject zubair-irshad.github.io/projects/neo360.html
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  π₯  Scenimefy: I-2-I for anime  π₯ 
 
πS-Lab unveils a novel semi-supervised I-2-I translation framework + HD dataset for anime
 
πReview https://t.ly/IsdEG
πPaper arxiv.org/pdf/2308.12968.pdf
πCode https://github.com/Yuxinn-J/Scenimefy
πProject https://yuxinn-j.github.io/projects/Scenimefy.html
πS-Lab unveils a novel semi-supervised I-2-I translation framework + HD dataset for anime
πReview https://t.ly/IsdEG
πPaper arxiv.org/pdf/2308.12968.pdf
πCode https://github.com/Yuxinn-J/Scenimefy
πProject https://yuxinn-j.github.io/projects/Scenimefy.html
π₯°13β€2π₯1πΎ1
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  π¨  Watch Your Steps: Editing by Text  π¨ 
 
πThe novel SOTA in image & scene (text) editing via denoising diffusion models
 
πReview https://t.ly/fv9wn
πPaper arxiv.org/pdf/2308.08947.pdf
πProject ashmrz.github.io/WatchYourSteps
πThe novel SOTA in image & scene (text) editing via denoising diffusion models
πReview https://t.ly/fv9wn
πPaper arxiv.org/pdf/2308.08947.pdf
πProject ashmrz.github.io/WatchYourSteps
β€4π3π€―3π₯1
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  π‘ Relighting NeRF π‘ 
  
πNeural implicit radiance representation for free viewpoint relighting of an object lit by a moving point light
πReview https://t.ly/J-3_L
πProject nrhints.github.io
πCode github.com/iamNCJ/NRHints
πPaper nrhints.github.io/pdfs/nrhints-sig23.pdf
πNeural implicit radiance representation for free viewpoint relighting of an object lit by a moving point light
πReview https://t.ly/J-3_L
πProject nrhints.github.io
πCode github.com/iamNCJ/NRHints
πPaper nrhints.github.io/pdfs/nrhints-sig23.pdf
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  πͺΆ  ReST: Multi-Camera MOT πͺΆ 
 
πNovel reconfigurable two-steps graph model for multi-camera multi object video tracking (MC-MOT)
 
πReview https://t.ly/3C5tb
πPaper arxiv.org/pdf/2308.13229.pdf
πCode github.com/chengche6230/ReST
πNovel reconfigurable two-steps graph model for multi-camera multi object video tracking (MC-MOT)
πReview https://t.ly/3C5tb
πPaper arxiv.org/pdf/2308.13229.pdf
πCode github.com/chengche6230/ReST
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  π²MagicEdit: Magic Video Editπ²  
   
πMagicEdit: explicit disentangling content, structure & motion for Hi-Fi and temporally coherent video editing
  
πReport https://t.ly/tREX4
πPaper arxiv.org/pdf/2308.14749.pdf
πProject magic-edit.github.io
πCode github.com/magic-research/magic-edit
πMagicEdit: explicit disentangling content, structure & motion for Hi-Fi and temporally coherent video editing
πReport https://t.ly/tREX4
πPaper arxiv.org/pdf/2308.14749.pdf
πProject magic-edit.github.io
πCode github.com/magic-research/magic-edit
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