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 17 261 مشتركاً، محتلاً المرتبة 7 509 في فئة التكنولوجيات والتطبيقات والمرتبة 2 130 في منطقة ماليزيا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 17 261 مشتركاً.

بحسب آخر البيانات بتاريخ 25 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 261، وفي آخر 24 ساعة بمقدار 2، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 16.91‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 7.04‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 2 918 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 216 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 16.
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 26 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

17 261

المشتركون

+224 ساعات

+17 أيام

+26130 أيام

2 918

عرض المشاهدات

~ 1 21624 ساعات

~ 1 54948 ساعات

16.91%

معدل المشاركة

لا توجد بيانات

المشاركات في اليوم

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أرشيف المشاركات

17 261

🌊 Diffusive 3D Human Recovery 🌊 👉The Rutgers University unveils ScoreHMR at #CVPR24; novel approach for 3D human pose and shape reconstruction. Impressive results. 👉Review https://t.ly/G0k2D 👉Paper https://arxiv.org/pdf/2403.09623 👉Code https://github.com/statho/ScoreHMR 👉Project https://statho.github.io/ScoreHMR/

17 261

🌐 3D Scenes with Depth Inpainting 🌐 👉Oxford announced two novel contributions to the field of 3D scene generation: a new benchmark and a novel depth completion model. 🤗-Demo and Source Code released💙 👉Review https://t.ly/BKiny 👉Paper https://arxiv.org/pdf/2404.19758 👉Project https://research.paulengstler.com/invisible-stitch/ 👉Code https://github.com/paulengstler/invisible-stitch 👉Demo https://huggingface.co/spaces/paulengstler/invisible-stitch

17 261

🏝️1000x Scalable Neural 3D Fields🏝️ 👉Highly-scalable neural 3D Fields: 1000x reductions in memory maintaining speed/quality: 10 MB vs. 10 GB! Code released 💙 👉Review https://t.ly/sLTK5 👉Paper https://lnkd.in/dEYM8-t2 👉Project https://lnkd.in/djptdujx 👉Code https://lnkd.in/dcCnFZ2n

17 261

🪷 Tunnel Try-on: SOTA VTON 🪷 👉"Tunnel Try-on", the first diffusion-based video virtual try-on model that demonstrates SOTA performance in complex scenarios. No code announced :( 👉Review https://t.ly/joMtJ 👉Paper arxiv.org/pdf/2404.17571 👉Project mengtingchen.github.io/tunnel-try-on-page/

17 261

👗TELA: Text to 3D Clothed Human👗 👉 TELA is a novel approach for the new task of clothing disentangled 3D human model generation from texts. This novel approach unleashes the potential of many downstream applications (e.g., virtual try-on). 👉Review https://t.ly/6N7JV 👉Paper https://arxiv.org/pdf/2404.16748 👉Project https://jtdong.com/tela_layer/ 👉Code https://github.com/DongJT1996/TELA

17 261

🌊 FlowMap: dense depth video 🌊 👉MIT (+CSAIL) unveils FlowMap, a novel E2E differentiable method that solves for precise camera poses, camera intrinsics, and perframe dense depth of a video sequence. Source Code released 💙 👉Review https://lnkd.in/dMgakzWm 👉Paper arxiv.org/pdf/2404.15259.pdf 👉Project cameronosmith.github.io/flowmap 👉Code github.com/dcharatan/flowmap

17 261

🎡 NER-Net: Seeing at Nighttime 🎡 👉Huazhong (+Beijing) unveils a novel event-based nighttime imaging solution under non-uniform illumination, plus a paired multi-illumination level real-world dataset. Repo online, code coming 💙 👉Review https://t.ly/Z9JMJ 👉Paper arxiv.org/pdf/2404.11884.pdf 👉Repo github.com/Liu-haoyue/NER-Net 👉Clip https://www.youtube.com/watch?v=zpfTLCF1Kw4

17 261

🌹 Physics-Based 3D Video-Gen 🌹 👉PhysDreamer, a physics-based approach that leverages the object dynamics priors learned by video generation models. It enables realistic 3D interaction with objects 👉Review https://shorturl.at/bivP4 👉Paper https://arxiv.org/pdf/2404.13026.pdf 👉Project https://physdreamer.github.io/ 👉Code github.com/a1600012888/PhysDreamer

17 261

🛞 6Img-to-3D driving scenarios 🛞 👉EPFL (+ Continental) unveils 6Img-to-3D, novel transformer-based encoder-renderer method to create 3D onbounded outdoor driving scenarios with only six pics 👉Review https://shorturl.at/dZ018 👉Paper arxiv.org/pdf/2404.12378.pdf 👉Project 6img-to-3d.github.io/ 👉Code github.com/continental/6Img-to-3D

17 261

🪼 All You Need is SAM (+Flow) 🪼 👉Oxford unveils the new SOTA for moving object segmentation via SAM + Optical Flow. Two novel models & Source Code announced 💙 👉Review https://t.ly/ZRYtp 👉Paper https://lnkd.in/d4XqkEGF 👉Repo coming 👉Project https://lnkd.in/dHpmx3FF

17 261

🎲 Articulated Objs from MonoClips 🎲 👉REACTO is the new SOTA to address the challenge of reconstructing general articulated 3D objects from single monocular video 👉Review https://t.ly/REuM8 👉Paper https://lnkd.in/d6PWagij 👉Project https://lnkd.in/dpg3x4tm 👉Repo https://lnkd.in/dRZWj6_N

17 261

⚽ SoccerNET: Athlete Tracking & ID ⚽ 👉SoccerNet Challenge is a novel high level computer vision task that is specific to sports analytics. It aims at recognizing the state of a sport game, i.e., identifying and localizing all sports individuals (players, referees, ..) on the field. 👉Review https://t.ly/Mdu9s 👉Paper arxiv.org/pdf/2404.11335.pdf 👉Code github.com/SoccerNet/sn-gamestate

17 261

🧤Neural MusculoSkeletal-MANO🧤 👉SJTU unveils MusculoSkeletal-MANO, novel musculoskeletal system with a learnable parametric hand model. Source Code announced 💙 👉Review https://lnkd.in/dMgakzWm 👉Paper arxiv.org/pdf/2404.10227.pdf 👉Project https://ms-mano.robotflow.ai/ 👉Code announced (no repo yet)

17 261

🪐YOLO-CIANNA: Neural Astro🪐 👉 CIANNA is a general-purpose deep learning framework for (but not only for) astronomical data analysis. Source Code released 💙 👉Review https://t.ly/441XS 👉Paper arxiv.org/pdf/2402.05925.pdf 👉Code github.com/Deyht/CIANNA 👉Wiki github.com/Deyht/CIANNA/wiki

17 261

☄️ Tracking Any 2D Pixels in 3D ☄️ 👉 SpatialTracker lifts 2D pixels to 3D using monocular depth, represents the 3D content of each frame efficiently using a triplane representation, and performs iterative updates using a transformer to estimate 3D trajectories. 👉Review https://t.ly/B28Cj 👉Paper https://lnkd.in/d8ers_nm 👉Project https://lnkd.in/deHjtZuE 👉Code https://lnkd.in/dMe3TvFT

17 261

⚛️ Flying w/ Photons: Neural Render ⚛️ 👉Novel neural rendering technique that seeks to synthesize videos of light propagating through a scene from novel, moving camera viewpoints. Pico-Seconds time resolution! 👉Review https://t.ly/ZqL3a 👉Paper arxiv.org/pdf/2404.06493.pdf 👉Project anaghmalik.com/FlyingWithPhotons/ 👉Code github.com/anaghmalik/FlyingWithPhotons

17 261

🧞 XComposer2: 4K Vision-Language 🧞 👉InternLMXComposer2-4KHD brings LVLM resolution capabilities up to 4K HD (3840×1600) and beyond. Authors: Shanghai AI Lab, CUHK, SenseTime & Tsinghua. Source Code & Models released 💙 👉Review https://t.ly/GCHsz 👉Paper arxiv.org/pdf/2404.06512.pdf 👉Code github.com/InternLM/InternLM-XComposer

17 261

🧞🧞 XComposer2-4K: 4K Vision-Language 🧞🧞 👉InternLMXComposer2-4KHD brings LVLM resolution capabilities up to 4K HD (3840×1600) and beyond. Authors: Shanghai AI Lab, CUHK, SenseTime & Tsinghua. Source Code & Models released 💙 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅Large Vision-Language Models (LVLMs) to 4K HD ✅Free-form Interleaved Text-Image Composition ✅Dynamic Resolution / Automatic Patch Config. ✅SOTA or competitive despite only 7B params #artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse 👉Discussion https://lnkd.in/dMgakzWm 👉Paper https://arxiv.org/pdf/2404.06512.pdf 👉Code github.com/InternLM/InternLM-XComposer

17 261

🔌 BodyMAP: human body & pressure 🔌 👉#Nvidia (+CMU) unveils BodyMAP, the new SOTA in predicting body mesh (3D pose & shape) and 3D applied pressure on the human body. Source Code released, Dataset coming 💙 👉Review https://t.ly/8926S 👉Project bodymap3d.github.io/ 👉Paper https://lnkd.in/gCxH4ev3 👉Code https://lnkd.in/gaifdy3q

17 261

👗 Neural Bodies with Clothes 👗 👉Neural-ABC is a novel parametric model based on neural implicit functions that can represent clothed human bodies with disentangled latent spaces for identity, clothing, shape, and pose. Author: University of Science & Technology of China. Dataset & Source Code released 💙 👉Review https://t.ly/Un1wc 👉Project https://lnkd.in/dhDG6FF5 👉Paper https://lnkd.in/dhcfK7jZ 👉Code https://lnkd.in/dQvXWysP