لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

AI with Papers - Artificial Intelligence & Deep Learning

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All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/ #AI #chatGPT

📈 نظرة تحليلية على قناة تيليجرام AI with Papers - Artificial Intelligence & Deep Learning

تُعد قناة AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 17 262 مشتركاً، محتلاً المرتبة 7 491 في فئة التكنولوجيات والتطبيقات والمرتبة 2 128 في منطقة ماليزيا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 17 262 مشتركاً.

بحسب آخر البيانات بتاريخ 23 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 255، وفي آخر 24 ساعة بمقدار 2، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 18.93‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 7.17‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 3 267 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 237 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 20.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل framework, object, dataset, tba, depth.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/ #AI #chatGPT”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 24 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

17 262

المشتركون

+224 ساعات

+67 أيام

+25530 أيام

3 267

عرض المشاهدات

~ 1 23724 ساعات

~ 1 53148 ساعات

18.93%

معدل المشاركة

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17 259

Could you please help me with this poll? https://t.ly/3c3Aa Thanks, A.

17 259

🫛TMR: Few-Shot Template-matching🫛 👉POSTECH unveils TMR, a novel and simple template-matching detector for few-shot pattern detection, achieving strong (and SOTA) results on diverse datasets. A new dataset (RPINE) released, repo soon💙 👉Review https://t.ly/WWAcL 👉Paper https://lnkd.in/dJbSu5vk 👉Project https://lnkd.in/dwcDnHHQ 👉Repo https://lnkd.in/dp7aw8Cs

17 259

🪴 Pixie: Physics from Pixels 🪴 👉UPenn + MIT unveil Pixie: training a neural-net that maps pretrained visual features (i.e., CLIP) to dense material fields of physical properties in a single forward pass, enabling real‑time physics simulations. Repo & Dataset under MIT license💙 👉Review https://t.ly/1W0n5 👉Paper https://lnkd.in/dsHAHDqM 👉Project https://lnkd.in/dwrHRbRc 👉Repo https://lnkd.in/dy7bvjsK

17 259

❤️‍🔥PHD: Personalized 3D Humans❤️‍🔥 👉ETH & #Meta unveil PHD, a novel approach for personalized 3D human mesh recovery (HMR) and body fitting that leverages user-specific shape information to improve pose estimation accuracy. Code & models to be released💙 👉Review https://t.ly/IeRhH 👉Paper https://arxiv.org/pdf/2508.21257 👉Project https://phd-pose.github.io/ 👉Repo TBA

17 259

🌈 Multi-View 3D Tracking 🌈 👉MVTracker is the first data-driven multi-view 3D point tracker for tracking arbitrary 3D points across multiple cameras. Repo available💙 👉Review https://t.ly/rISMR 👉Paper arxiv.org/pdf/2508.21060 👉Project https://lnkd.in/drHtAmRC 👉Repo https://lnkd.in/d4k8mg3B

17 259

🉐Dress&Dance: Dress-up & Dance🉐 👉Dress&Dance: diffusion framework that generates HQ 5-second-long 24 FPS VTON videos at 1152×720 of a user wearing desired garments while moving in accordance with a given reference video. Impressive results but no repo announced🥺 👉Review https://t.ly/7NeTL 👉Paper https://arxiv.org/pdf/2508.21070 👉Project https://immortalco.github.io/DressAndDance/ 👉Repo 🥺

17 259

🌹ROSE: Remove Objects & Effects🌹 👉A novel framework that systematically fix the object’s effects on environment: shadows, reflections, light, translucency and mirror. Model, Demo & Dataset available via Hugging Face💙 👉Review https://t.ly/_KFM0 👉Paper https://lnkd.in/dNcTXQAE 👉Project https://lnkd.in/dFGmYT5h 👉Model https://lnkd.in/dhTT-VkN 👉Demo https://lnkd.in/dimgXZT6 👉Data https://lnkd.in/da7Jv667

17 259

⚽SoccerNet 2025 results are out!⚽ 👉SoccerNet 2025 Challenges is the open benchmarking dedicated to advancing computer vision research in football video understanding. Repo for training & Dataset💙 👉Review https://t.ly/MfHKg 👉Paper https://arxiv.org/pdf/2508.19182 👉Project https://www.soccer-net.org/ 👉Repo https://github.com/SoccerNet

17 259

🥶 OmniHuman-1.5 🥶 👉#ByteDance proposes a novel framework designed to generate character animations that are not only physically plausible but also semantically coherent and expressive. Coherency with speech's rhythm, prosody and semantic content. Impressive results but no code 🥺 👉Review https://t.ly/CnRmX 👉Paper arxiv.org/pdf/2508.19209 👉Project omnihuman-lab.github.io/v1_5/ 👉Repo 🥺

17 259

🏎️ VROOM: F1 Reconstruction🏎️ 👉Berkeley unveils VROOM, the first attempt for reconstructing 3D models of #Formula1 circuits using only onboard camera footage from racecars. Extreme challenges due to noise & speed. Repo released💙 👉Review https://t.ly/uuHdT 👉Paper arxiv.org/pdf/2508.17172 👉Repo github.com/yajatyadav/vroom 👉Project varun-bharadwaj.github.io/vroom/

17 259

🧤Diffusive Hand from Signs🧤 👉LIGM + #NVIDIA unveil a novel generative model of 3D hand motions from Sign Language Data. Motion characteristics such as handshapes, locations, finger, hand & arm movements. Code, Models & Data to be released 💙 👉Review https://t.ly/HonX_ 👉Paper https://arxiv.org/pdf/2508.15902 👉Project https://imagine.enpc.fr/~leore.bensabath/HandMDM/ 👉Data drive.google.com/drive/u/1/folders/1BLsu2hAqhAJ_gnGb9TNXW7MLiSuSEzEj 👉Repo TBA

17 259

🫔ATLAS: SOTA Human Model🫔 👉#META presents ATLAS, a novel high-fidelity body model learned from 600k high-res. scans captured using 240 synchronized cams. Code announced, to be released💙 👉Review https://t.ly/0hHud 👉Paper https://arxiv.org/pdf/2508.15767 👉Project https://jindapark.github.io/projects/atlas/ 👉Repo TBA

17 259

🔬Intern-S1: SOTA MM-MoE 🔬 👉InternS1: a MM-MoE with 28B activated / 241b total parameters, continually pre-trained on 5T tokens, including 2.5T+ tokens from scientific domains. New SOTA for professional tasks, such as molecular synthesis planning, reaction condition prediction, etc. Models available under Apache 2.0💙 👉Review https://t.ly/3l5UW 👉Paper arxiv.org/pdf/2508.15763 👉Repo github.com/InternLM/Intern-S1 🤗HF huggingface.co/internlm/Intern-S1

17 259

🧉 YOPO: SOTA 9-DoF Pose🧉 👉Pit In Co. unveils YOPO, a novel single-stage, query-based framework that treats category-level 9-DoF estimation as a natural extension of 2D detection. A practical solution for mono-RGB, category-level, multi-obj pose estimation. Code & models announced (coming)💙 👉Review https://t.ly/cf_Cl 👉Paper https://arxiv.org/pdf/2508.14965 👉Project mikigom.github.io/YOPO-project-page/ 👉Repo TBA

17 259

📡 ROVR Open Dataset is out 📡 👉A novel large-scale open 3D dataset for autonomous driving, robotics, and 4D perception tasks. To be released for academic (for free) & commercial💙 👉Review https://t.ly/iDcvg 👉Paper https://arxiv.org/pdf/2508.13977 👉Project https://xiandaguo.net/ROVR-Open-Dataset

17 259

👠 OmniTry: Virtual Try-On Anything 👠 👉OmniTry: unified framework that extends VTON beyond garment to encompass any wearable objects (jewelries, accessories, etc.) in mask-free setting. Weights, HF demo & benchmark released💙 👉Review https://t.ly/wMBGQ 👉Paper https://lnkd.in/dQe9MchS 👉Project https://omnitry.github.io/ 👉Repo https://lnkd.in/d3QwAXY2 🤗Demo https://lnkd.in/duUcZpVA

17 259

🌈DAViD: Synthetic Depth-Normal-Segmentation🌈 👉#Microsoft unveils DAViD: 100% synthetic dataset/models for human Depth, Normals & Segmentation. Impressive results at a fraction of the cost of the foundation models! Compliancy with privacy, copyright, licensing, and diversity requirements. Dataset available, models & runtime under MIT💙 👉Review https://t.ly/-SlO_ 👉Paper https://lnkd.in/eCmMXpTg 👉Project https://lnkd.in/eurCSWkm 👉Repo https://lnkd.in/e7PWFgP2

17 259

🔀4DNeX: Feed-Forward 4D video🔀 👉4DNeX is the first feed-forward framework for generating 4D scene representations from a single image by fine-tuning diffusion model. HQ dynamic pt-clouds & downstream tasks such as novel-view video synthesis with strong generalizability. Code/Data announced 💙 👉Review https://t.ly/SpkD- 👉Paper arxiv.org/pdf/2508.13154 👉Project https://4dnex.github.io/ 👉Repo github.com/3DTopia/4DNeX 👉Data https://lnkd.in/dh4_3Ghf 👉Demo https://lnkd.in/dztyzwgg

17 259

🏓TOTNet: Occlusion-aware Tracking🏓 👉TOTNet is a novel Temporal Occlusion Tracking Network that leverages 3D-convs, visibility-weighted loss, & occlusion augmentation to improve performance under occlusions. Code & Data available under MIT💙 👉Review https://t.ly/Q0jAf 👉Paper https://lnkd.in/dUYsa-GC 👉Repo https://lnkd.in/d3QGUHYb

17 259

🤖 Impact of SuperHuman AI 🤖 👉The NoProfit AI Futures Project unveils a (dystopic) scenario about what super-AI might look like. Forecast from today to the bio-engineered human-like creatures. A fascinating speculation of the future with the "slow-down" and "race" scenarios. Enjoy 💙 👉Review https://t.ly/EgmfJ 👉Project https://ai-2027.com/