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
إظهار المزيد📈 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 17 053 مشتركاً، محتلاً المرتبة 7 643 في فئة التكنولوجيات والتطبيقات والمرتبة 2 199 في منطقة ماليزيا.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 17 053 مشتركاً.
بحسب آخر البيانات بتاريخ 11 يوليو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -159، وفي آخر 24 ساعة بمقدار -4، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 17.11%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 7.59% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 2 917 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 295 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 15.
- 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 12 يوليو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
17 053
المشتركون
-424 ساعات
-497 أيام
-15930 أيام
أرشيف المشاركات
🧪 SUPIR: SOTA restoration 🧪
👉SUPIR is the new SOTA in image restoration; suitable for restoration of blurry objects, defining the material texture of objects, and adjusting restoration based on high-level semantics
👉Review https://t.ly/wgObH
👉Project https://lnkd.in/dPcnBKWm
👉Paper https://lnkd.in/dZPYcUuq
👉Demo coming 🩷 but no code announced :(
🔥Lumiere: SOTA video-gen🔥
👉#Google unveils Lumiere: Space-Time Diffusion Model for Realistic Video Generation. It's the new SOTA, tasks: Text-to-Video, Video Stylization, Cinemagraphs & Video Inpainting.
👉Review https://t.ly/nalJR
👉Paper https://lnkd.in/d-PvrGjT
👉Project https://t.ly/gK8hz
🎭 UltrAvatar: ULTRA-Realistic Avatar 🎭
👉Novel 3D avatar with enhanced fidelity of geometry, and superior quality of physically based rendering (PBR) textures without unwanted lighting.
👉Review https://t.ly/B3BEu
👉Project https://lnkd.in/dkUQHFEV
👉Paper https://lnkd.in/dtEQxrBu
👉Code coming 🩷
🔥 Depth Anything: the new SOTA 🔥
👉Depth Anything: the new SOTA in monocular depth estimation (MDE), trained with 1.5M labeled images and 62M+ unlabeled images jointly. It's the new SOTA! Authors: University of Hong Kong, #TikTok, Zhejiang Lab & Zhejiang University. Paper, project, code, models & HF-demo released!
👉Review https://t.ly/tCBwO
👉Paper https://lnkd.in/djx-9k2J
👉Project https://lnkd.in/dYetqZFa
👉Repo https://lnkd.in/d87CrUGv
👉Demo🤗 https://lnkd.in/dJhvKBep
😻 GARField: Group Anything 😻
👉 GARField is a novel approach for decomposing #3D scenes into a hierarchy of semantically meaningful groups from posed image inputs.
👉Review https://t.ly/6Hkeq
👉Paper https://lnkd.in/d28mfRcZ
👉Project https://lnkd.in/dzYdRNKy
👉Repo (coming) https://lnkd.in/d2VeRJCS
👽 One Model <-> All Segmentations 👽
👉 10+ different segmentation tasks in one framework, including image-level, video-level, interactive segmentation, & open-vocabulary segmentation.
👉Review https://t.ly/fywVz
👉Paper https://lnkd.in/dw3S4B74
👉Project https://lnkd.in/dzHT9v45
👉Repo https://lnkd.in/d6fDCnSp
🦠 XINC: Pixels to Neurons 🦠
👉eXplaining the Implicit Neural Canvas (XINC) from the University of Maryland, is a unified framework for explaining properties of INRs by examining the strength of each neuron’s contribution to each output pixel
👉Review https://t.ly/wwAmz
👉Paper arxiv.org/pdf/2401.10217.pdf
👉Project namithap10.github.io/xinc
👉Repo github.com/namithap10/xinc
🫒 AlphaGeometry: Olympiad-level AI 🫒
👉 Theorem prover for Euclidean plane geometry that sidesteps the need for human demonstrations by
synthesizing millions of theorems and proofs across different levels of complexity 🤯
👉Review https://t.ly/2-Z7C
👉Paper https://lnkd.in/g3QkqwCE
👉Blog https://lnkd.in/ge-mpM7q
👉Repo https://lnkd.in/gHjwks_9
🔥🔥 Code is out 🔥🔥
Check the comments for the links ;)
💃Timeline Text-Driven Humans💃
👉Novel challenge: timeline control for text-driven motion synthesis of 3D Humans.
👉Review https://t.ly/HLm-N
👉Paper https://lnkd.in/esaR_M_9
👉Project https://lnkd.in/epCZDvFW
👉Repo coming
💥 Announcing #Py4Ai Conference💥
👉 Super proud to unveil #Py4AI, the newest conference dedicated to exploring the depths of Python & AI. Py4AI is a 1-day free event for Python and Artificial Intelligence developers.
𝐄𝐯𝐞𝐧𝐭 𝐃𝐞𝐭𝐚𝐢𝐥𝐬:
✅16th March 2024 (Saturday) - all day long!
✅Location: Pavia, at SEA Vision HQ
✅Seats: first 100 available now!
✅Live streaming: YES 🌍
✅Cost: it's 100% FREE!
We will investigate the latest trends, advancements, and challenges in Artificial Intelligence: NLP, MLOps, Computer Vision, Machine Learning & Generative AI! A scientific conference with international speakers. Only Science, Coding & professionals in AI. And beers, of course.
𝐓𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐛𝐚𝐭𝐜𝐡 𝐨𝐟 𝐬𝐩𝐞𝐚𝐤𝐞𝐫𝐬:
🚀Merve Noyan | ML Advocate Eng. Hugging Face 🤗
🚀Gabriele Lombardi | CTO ARGO Vision
🚀Amanda Cercas Curry | PostDoc. Università Bocconi
🚀Piero Savastano | Founder Cheshire Cat AI
🚀Francesco Zuppichini | Sr. ML engineer Zurich Insurance
🚀Andrea Palladino, PhD | Sr. Data Scientist
👉 More: https://www.linkedin.com/posts/visionarynet_py4ai-py4ai-python-activity-7152928716988243968-pOUn?utm_source=share&utm_medium=member_desktop
💊💊 AGNOSTIC Object Counting 💊💊
👉PseCo: combining SAM to segment all possible objects as mask proposals & CLIP to classify proposals to obtain accurate object counts. The new SOTA in both few-shot/zero-shot object counting/detection.
👉Discussion https://lnkd.in/dMgakzWm
👉Paper https://lnkd.in/dbzMXKWG
👉Repo https://lnkd.in/db9Q9Pse
🥛 Transparent Object Tracking 🥛
👉Trans2k: transparent object tracking dataset of 2,000+ sequences with 100,000+ images, annotated by bounding boxes & segmentation mask.
👉Review https://t.ly/mEI6O
👉Paper https://lnkd.in/dsudY3DB
👉Project https://lnkd.in/d48SSJJ3
👉TOB https://lnkd.in/dykBUNfC
🃏ReplaceAnything: demo is out!🃏
👉ReplaceAnything: ultra-high quality content replacement. The ultimate #AI solution for human, clothing & background replacement to change the e-commerce experience for vendors.
👉Review https://t.ly/FMyvf
👉Project https://lnkd.in/dcyZvP2b
👉ModelScope https://lnkd.in/dU4x4nE6
👉Hugging Face https://lnkd.in/dn3uXWgd
👉Empty report https://lnkd.in/dcuGXd6c
👉Paper coming?
🔥 #6D Foundation Pose 🔥
👉#Nvidia unveils FoundationPose, a novel (and unified) foundation model for 6D object pose estimation and tracking.
👉Review https://t.ly/HGd4h
👉Project https://lnkd.in/dPcnBKWm
👉Paper https://lnkd.in/dixn_iHZ
👉Code coming 🩷
🐤 MagicVideo-V2 Video Generation 🐤
👉#Bytedance announces a novel multi-stage pipeline capable of generating high-aesthetic videos from textual description
👉Review https://t.ly/zIq4v
👉Project https://lnkd.in/dKUrJPJd
👉Paper https://lnkd.in/dixnN-kU
🕍 En3D: Generative 3D Humans 🕍
👉#Alibaba unveils En3D: generative scheme for sculpting HQ 3D human avatars. Zero-shot 3D generative scheme capable of producing visually realistic, geometrically accurate and content-wise diverse 3D humans without relying on pre-existing 3D or 2D asset.
👉Review https://t.ly/nGmDK
👉Project menyifang.github.io/projects/En3D/index.html
👉Paper https://arxiv.org/pdf/2401.01173.pdf
👉Repo (coming) https://github.com/menyifang/En3D
👻 W2A: Avatar Behind Occlusions 👻
👉Neural rendering for occluded in-the-wild mono-videos. Decoupling scenes in occlusion, human, and background.
👉Review https://t.ly/8q__B
👉Paper https://arxiv.org/pdf/2401.00431.pdf
👉Project https://cs.stanford.edu/~xtiange/projects/wild2avatar
🈚 Seeing Through Occlusions 🈚
👉Princeton University unveils a novel NSF approach able to fuse a burst image capture into one high-resolution reconstruction and decompose it into transmission and obstruction layers. Tasks: seeing through occlusions, reflection suppression, shadow removal
👉Review https://t.ly/5jcIG
👉Project https://light.princeton.edu/publication/nsf/
👉Paper https://arxiv.org/pdf/2312.14235.pdf
👉Repo https://github.com/princeton-computational-imaging/NSF
🪲UniRef++: Segment Every Reference🪲
👉 UniRef++ is a unified model for RIS, FSS, RVOS & VOS. Code available!
👉Review https://t.ly/OxtOx
👉Paper https://lnkd.in/eTrmDTK3
👉Repo https://lnkd.in/etfTm4Wq
