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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๐Ÿฆ™ Llama-2: the Open-Source "ChatGPT" ๐Ÿฆ™

๐Ÿ‘‰GenAI, #Meta unveils Llama-2: a collection of LLMs ranging in scale 7-70B params. Challenging with #chatgpt, but open.

๐Ÿ˜ŽReview https://t.ly/bLJgP
๐Ÿ˜ŽPaper https://t.ly/AOXru
๐Ÿ˜ŽProject https://ai.meta.com/llama
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๐Ÿ‰ AltFreezing: new SOTA in detecting deepfake ๐Ÿ‰

๐Ÿ‘‰#Microsoft unveils AltFreezing: spatial/temporal artifacts in one model for more general face forgery detection

๐Ÿ˜ŽReview https://t.ly/mkIKX
๐Ÿ˜ŽPaper https://t.ly/z4KnJ
๐Ÿ˜ŽCode github.com/ZhendongWang6/AltFreezing
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๐ŸชŸMETA's Ultra-HD Data for #AR๐ŸชŸ

๐Ÿ‘‰Aria Digital Twin: egocentric dataset for detection/tracking, reconstruction/understanding, S2R learning, pose and more.

๐Ÿ˜ŽReview https://t.ly/MRPt1
๐Ÿ˜ŽPaper arxiv.org/pdf/2306.06362.pdf
๐Ÿ˜ŽProject www.projectaria.com/datasets/adt
๐Ÿ˜ŽCode github.com/facebookresearch/projectaria_tools
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๐Ÿ‘ฉโ€๐Ÿฆฐ Ultra-Realistic Neural Hair ๐Ÿ‘ฉโ€๐Ÿฆฐ

๐Ÿ‘‰A novel method to reconstruct the hair geometry at a strand level from monocular video or multi-view images

๐Ÿ˜ŽReview https://t.ly/6xZyp
๐Ÿ˜ŽPaper arxiv.org/pdf/2306.05872.pdf
๐Ÿ˜ŽProject samsunglabs.github.io/NeuralHaircut
๐Ÿ˜ŽCode github.com/SamsungLabs/NeuralHaircut
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๐Ÿ’ช Muscles in Action with #AI ๐Ÿ’ช

๐Ÿ‘‰Muscles in Action (MIA): learn to incorporate muscle activity into human motion representations

๐Ÿ˜ŽReview https://t.ly/hUKub
๐Ÿ˜ŽPaper arxiv.org/pdf/2212.02978.pdf
๐Ÿ˜ŽProject musclesinaction.cs.columbia.edu
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๐Ÿชค PAPR: Proximity Attention Point Render ๐Ÿชค

๐Ÿ‘‰PAPR: fast point-based scene representation with differentiable renderer approach

๐Ÿ˜ŽReview https://t.ly/yoI0g
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.11086.pdf
๐Ÿ˜ŽProject https://zvict.github.io/papr
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๐Ÿช› CAD-based Object Segmentation ๐Ÿช›

๐Ÿ‘‰ A novel three-stage approach to segment unseen objects in RGB images using their CAD models

๐Ÿ˜ŽReview https://t.ly/RtHLN
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.11067.pdf
๐Ÿ˜ŽCode https://github.com/nv-nguyen/cnos
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๐Ÿ›ต ALPR via CTS-Matching ๐Ÿ›ต

๐Ÿ‘‰UIT unveils a neural approach (#YOLO5 + tracking + rotation) to improve the license plate recognition accuracy

๐Ÿ˜ŽReview https://t.ly/VP4BP
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.11336.pdf
๐Ÿ˜ŽCode github.com/chequanghuy/Character-Time-series-Matching
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๐Ÿฅฌ Generative AIโ€™s Next Frontiers ๐Ÿฅฌ

๐Ÿ‘‰Hair simulation, 2D->3D animation, and much more. ~20 papers from #NVIDIA accepted into #SIGGRAPH2023

๐Ÿ˜Ž Review https://t.ly/wgGin
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๐Ÿฆ€ simPLE: learning to grasp only with CAD ๐Ÿฆ€

๐Ÿ‘‰simPLE learns to pick, regrasp & place objects precisely, given only the object CAD model and no prior experience

๐Ÿ˜ŽReview https://t.ly/ab5pA
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.13133.pdf
๐Ÿ˜ŽProject mcube.mit.edu/research/simPLE.html
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๐Ÿง Track Anything in HQ ๐Ÿง

๐Ÿ‘‰Video multi-object segmenter (VMOS) and a mask refiner (MR) to track anything

๐Ÿ˜ŽReview https://t.ly/hAvF2
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.13974.pdf
๐Ÿ˜ŽCode github.com/jiawen-zhu/HQTrack
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๐ŸฅฌConsensus-Adaptive RANSAC๐Ÿฅฌ

๐Ÿ‘‰Novel RANSAC that learns to explore the parameter space via a novel attention layer

๐Ÿ˜ŽReview https://t.ly/eSLmD
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.14030.pdf
๐Ÿ˜ŽCode github.com/cavalli1234/CA-RANSAC
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๐Ÿก DWPose: 2-stage Pose Distillation ๐Ÿก

๐Ÿ‘‰ Tsinghua (+IDEA) unveils a novel two-stage pose Distillation for whole-body pose estimation.

๐Ÿ˜ŽReview https://t.ly/BSi20
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.15880.pdf
๐Ÿ˜ŽCode github.com/IDEA-Research/DWPose
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๐Ÿ‘— Multimodal Neural Designer ๐Ÿ‘—

๐Ÿ‘‰ Multimodal #AI that can generate novel fashion images conditioned on text, keypoints, and sketches

๐Ÿ˜ŽReview https://t.ly/zVk70
๐Ÿ˜ŽPaper arxiv.org/pdf/2304.02051.pdf
๐Ÿ˜ŽCode github.com/aimagelab/multimodal-garment-designer
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๐Ÿ“ธ Computational Burst Photography in App ๐Ÿ“ธ

๐Ÿ‘‰#Google unveils a novel computational burst system to democratize the professional photography via smartphone

๐Ÿ˜ŽReview https://t.ly/5ibJX
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.01379.pdf
๐Ÿ˜ŽProject https://motion-mode.github.io
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๐ŸŽ Neural Closed-Loop Simulator๐ŸŽ 

๐Ÿ‘‰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

๐Ÿ˜ŽReview https://t.ly/EcRLc
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.01898.pdf
๐Ÿ˜ŽProject https://waabi.ai/unisim/
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๐Ÿ™ 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 ยซ๐Ÿ™ 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 :)ยป
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๐Ÿช› HANDAL: Real-World Manipulable Objects ๐Ÿช›

๐Ÿ‘‰ #Nvidia unveils HANDAL dataset: category-level object pose and affordance prediction

๐Ÿ˜ŽReview https://t.ly/MXZDI
๐Ÿ˜ŽPaper arxiv.org/pdf/2308.01477.pdf
๐Ÿ˜ŽDataset wenbowen123.github.io/handaldataset
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๐ŸŽจ Interactive Neural Painting ๐ŸŽจ

๐Ÿ‘‰ Novel AI-powered tool to help artists in completing their artworks

๐Ÿ˜ŽReview https://t.ly/ELUb0
๐Ÿ˜ŽPaper arxiv.org/pdf/2307.16441.pdf
๐Ÿ˜ŽProject helia95.github.io/inp-website
๐Ÿ˜ŽSupp helia95.github.io/inp-website/supp_mat.html
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