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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๐Ÿ”ฅ๐Ÿ”ฅ #META's DINOv2 is now commercial! ๐Ÿ”ฅ๐Ÿ”ฅ

๐Ÿ‘‰Universal features for image classification, instance retrieval, video understanding, depth & semantic segmentation. Now suitable for commercial.

๐Ÿ˜ŽReview https://t.ly/LNrGy
๐Ÿ˜ŽPaper arxiv.org/pdf/2304.07193.pdf
๐Ÿ˜ŽCode github.com/facebookresearch/dinov2
๐Ÿ˜ŽDemo dinov2.metademolab.com/
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โœŒ๏ธ Relighted 3D Hands ๐Ÿคž

๐Ÿ‘‰#META unveils Re:InterHand: a large dataset of relighted 3D interacting hands

๐Ÿ˜ŽReview https://t.ly/I1dQk
๐Ÿ˜ŽPaper arxiv.org/pdf/2310.17768.pdf
๐Ÿ˜ŽProject mks0601.github.io/ReInterHand
๐Ÿ˜ŽData github.com/mks0601/ReInterHand
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๐Ÿ“ Emu: image edit / video gen. ๐Ÿ“

๐Ÿ‘‰#Meta the new SOTA in text-to-video generation and instruction-based image editing

๐Ÿ‘‰ Review https://t.ly/PMTBc
๐Ÿ‘‰ Paper (images): https://lnkd.in/eVadH-QS
๐Ÿ‘‰ Project https://lnkd.in/eG8eWUJY
๐Ÿ‘‰ Paper (video): https://lnkd.in/eVadH-QS
๐Ÿ‘‰ Project https://lnkd.in/eu6Zu6gp
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๐Ÿช–RT Humanoid from Head-Mounted Sensors๐Ÿช–

๐Ÿ‘‰#META (+CMU) announced SimXR, a method for controlling a simulated avatar from info obtained from AR/VR headsets

๐Ÿ‘‰Review https://t.ly/Si2Mp
๐Ÿ‘‰Paper arxiv.org/pdf/2403.06862.pdf
๐Ÿ‘‰Project www.zhengyiluo.com/SimXR/
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๐ŸงคHOT3D Hand/Object Tracking๐Ÿงค

๐Ÿ‘‰#Meta opens a novel egocentric dataset for 3D hand & object tracking. A new benchmark for vision-based understanding of 3D hand-object interactions. Dataset available ๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/cD76F
๐Ÿ‘‰Paper https://lnkd.in/e6_7UNny
๐Ÿ‘‰Data https://lnkd.in/e6P-sQFK
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๐Ÿ”ฅ๐Ÿ”ฅ SAM v2 is out! ๐Ÿ”ฅ๐Ÿ”ฅ

๐Ÿ‘‰#Meta announced SAM 2, the novel unified model for real-time promptable segmentation in images and videos. 6x faster, it's the new SOTA by a large margin. Source Code, Dataset, Models & Demo released under permissive licenses๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/oovJZ
๐Ÿ‘‰Paper https://t.ly/sCxMY
๐Ÿ‘‰Demo https://sam2.metademolab.com
๐Ÿ‘‰Project ai.meta.com/blog/segment-anything-2/
๐Ÿ‘‰Models github.com/facebookresearch/segment-anything-2
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๐Ÿ EFM3D: 3D Ego-Foundation ๐Ÿ

๐Ÿ‘‰#META presents EFM3D, the first benchmark for 3D object detection and surface regression on HQ annotated egocentric data of Project Aria. Datasets & Code released๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/cDJv6
๐Ÿ‘‰Paper arxiv.org/pdf/2406.10224
๐Ÿ‘‰Project www.projectaria.com/datasets/aeo/
๐Ÿ‘‰Repo github.com/facebookresearch/efm3d
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๐Ÿ”ฅ CoTracker3 by #META is out! ๐Ÿ”ฅ

๐Ÿ‘‰#Meta (+VGG Oxford) unveils CoTracker3, a new tracker that outperforms the previous SoTA by a large margin using only the 0.1% of the training data ๐Ÿคฏ๐Ÿคฏ๐Ÿคฏ

๐Ÿ‘‰Review https://t.ly/TcRIv
๐Ÿ‘‰Paper arxiv.org/pdf/2410.11831
๐Ÿ‘‰Project cotracker3.github.io/
๐Ÿ‘‰Code github.com/facebookresearch/co-tracker
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โ˜€๏ธ Universal Relightable Avatars โ˜€๏ธ

๐Ÿ‘‰#Meta unveils URAvatar, photorealistic & relightable avatars from phone scan with unknown illumination. Stunning results!

๐Ÿ‘‰Review https://t.ly/U-ESX
๐Ÿ‘‰Paper arxiv.org/pdf/2410.24223
๐Ÿ‘‰Project junxuan-li.github.io/urgca-website
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โค๏ธโ€๐Ÿ”ฅ Uncommon object in #3D โค๏ธโ€๐Ÿ”ฅ

๐Ÿ‘‰#META releases uCO3D, a new object-centric dataset for 3D AI. The largest publicly-available collection of HD videos of objects with 3D annotations that ensures full-360โ—ฆ coverage. Code & data under CCA 4.0๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/Z_tvA
๐Ÿ‘‰Paper https://arxiv.org/pdf/2501.07574
๐Ÿ‘‰Project https://uco3d.github.io/
๐Ÿ‘‰Repo github.com/facebookresearch/uco3d
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โ˜€๏ธ Relightable Full-Body Avatars โ˜€๏ธ

๐Ÿ‘‰#Meta unveils the first approach ever to jointly model the relightable appearance of the body, face, and hands of drivable avatars.

๐Ÿ‘‰Review https://t.ly/kx9gf
๐Ÿ‘‰Paper arxiv.org/pdf/2501.14726
๐Ÿ‘‰Project neuralbodies.github.io/RFGCA
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๐Ÿ”ฅ VideoJAM: #META's Video-Model (SOTA) ๐Ÿ”ฅ

๐Ÿ‘‰#META's VideoJAM: the new SOTA (by large margin) in motion coherence for video generation, much better than SORA! A strong motion prior into any video-gen model. Impressive results, no code announced๐Ÿฅฒ

๐Ÿ‘‰Review https://shorturl.at/id7Bt
๐Ÿ‘‰Paper https://arxiv.org/pdf/2502.02492
๐Ÿ‘‰Project https://hila-chefer.github.io/videojam-paper.github.io/
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๐Ÿค– META Human-Robot ๐Ÿค–

๐Ÿ‘‰#META PARTNR: novel benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration. The largest benchmark of its kind: 100,000+ natural language tasks, spanning 60 houses and 5,819 unique objects. Code & Data (๐Ÿค—) under MIT๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/zcN0K
๐Ÿ‘‰Paper arxiv.org/pdf/2411.00081
๐Ÿ‘‰Repo github.com/facebookresearch/partnr-planner
๐Ÿค—Data huggingface.co/datasets/ai-habitat/partnr_episodes
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๐Ÿ–ฒ๏ธ VGG Transformer ๐Ÿ–ฒ๏ธ

๐Ÿ‘‰VGGT by VGG & #META (#CVPR2025) is a feed-forward neural net. that directly infers all key 3D attributes of a scene within seconds. Code released๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/WoWXL
๐Ÿ‘‰Paper https://arxiv.org/pdf/2503.11651
๐Ÿ‘‰Project https://vgg-t.github.io/
๐Ÿ‘‰Code github.com/facebookresearch/vggthttps://t.ly/WoWXL
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๐Ÿฆ– DINOv3 is out ๐Ÿฆ–

๐Ÿ‘‰#Meta unveils DINOv3! A novel foundation model outperforming the previous SOTAs in computer vision. Code & weights released under DINOv3 License๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/-S3ZL
๐Ÿ‘‰Paper https://t.ly/ervOT
๐Ÿ‘‰Project https://lnkd.in/dHFf3esd
๐Ÿ‘‰Repo https://lnkd.in/dPxhDxAq
๐Ÿค—HF https://lnkd.in/dWGudY2i
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๐Ÿซ”ATLAS: SOTA Human Model๐Ÿซ”

๐Ÿ‘‰#META presents ATLAS, a novel high-fidelity body model learned from 600k high-res. scans captured using 240 synchronized cams. Code announced, to be released๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/0hHud
๐Ÿ‘‰Paper arxiv.org/pdf/2508.15767
๐Ÿ‘‰Project jindapark.github.io/projects/atlas/
๐Ÿ‘‰Repo TBA
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โค๏ธโ€๐Ÿ”ฅPHD: Personalized 3D Humansโค๏ธโ€๐Ÿ”ฅ

๐Ÿ‘‰ETH & #Meta unveil PHD, a novel approach for personalized 3D human mesh recovery (HMR) and body fitting that leverages user-specific shape information. Code & models to be released๐Ÿ’™

๐Ÿ‘‰Review https://t.ly/IeRhH
๐Ÿ‘‰Paper https://arxiv.org/pdf/2508.21257
๐Ÿ‘‰Project https://phd-pose.github.io/
๐Ÿ‘‰Repo TBA
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