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AI with Papers - Artificial Intelligence & Deep Learning

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 17 137 مشتركاً، محتلاً المرتبة 7 702 في فئة التكنولوجيات والتطبيقات والمرتبة 2 235 في منطقة ماليزيا.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 17 137 مشتركاً.

بحسب آخر البيانات بتاريخ 24 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -197، وفي آخر 24 ساعة بمقدار -7، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 25.73‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 6.87‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 4 411 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 177 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 26.
  • 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 25 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

17 137
المشتركون
-724 ساعات
-427 أيام
-19730 أيام
أرشيف المشاركات
🎫 100% Mask-Free VIS 🎫 👉ETH Z unveils MaskFreeVIS: novel high-performing VIS without any mask annotations. 😎Review https://bit.ly/3Wg7CQB 😎Paper arxiv.org/pdf/2303.15904.pdf 😎Project www.vis.xyz/pub/maskfreevis/ 😎Code github.com/SysCV/maskfreevis

👚 Multi-Layered 3D Garments Animation 👚 👉S-Lab unveils LayersNet: animating multi-layered garments driven by various external forces, such as human bodies & wind 😎Review https://bit.ly/435b42F 😎Paper arxiv.org/pdf/2305.10418.pdf 😎Project mmlab-ntu.github.io/project/layersnet

🪰 #3D Auto-Reconstruction 🪰 👉AutoRecon: automated discovery & reconstruction of objects from multi-view pics. 😎Review https://bit.ly/3MxI0f4 😎Paper arxiv.org/pdf/2305.08810.pdf 😎Project zju3dv.github.io/autorecon/ 😎Code github.com/zju3dv/AutoRecon

🍿 De-Aging Harrison Ford via SD 🍿 👉Stable Diffusion Deepfake for Hollywood: a preview of the next autotune of the entertainment industry. A Reddit discussion👇 😎 More: https://bit.ly/41EzaQK

🛸 Virtual Occlusions in #AR 🛸 👉Niantic (#pokemongo) on a novel approach for virtual assets to appear ‘sitting among’ the real world objects 😎Review https://bit.ly/3o04wn6 😎Paper arxiv.org/pdf/2305.07014.pdf 😎Project nianticlabs.github.io/implicit-depth 😎Code github.com/nianticlabs/implicit-depth

🦕 HACMan: 6D Non-Prehensile Manipulation 🦕 👉#META (+CMU) unveils HACMan, novel 6D non-prehensile manipulation of objects 😎Review https://bit.ly/3NP1jl1 😎Paper arxiv.org/pdf/2305.03942.pdf 😎Project hacman-2023.github.io

🐊 RelPose++: SOTA 6D from 2-8 pics 🐊 👉CMU unveils a novel neural method for 6D camera poses from only 2-8 images 😎Review https://bit.ly/42ioJ6K 😎Paper arxiv.org/pdf/2305.04926.pdf 😎Project amyxlase.github.io/relpose-plus-plus 😎Code github.com/amyxlase/relpose-plus-plus

🦒 Look mom, I'm a giraffe 🦒 👉 A patent to transpose adversarial patches onto a knitted fabric. Be undetectable or associat
🦒 Look mom, I'm a giraffe 🦒 👉 A patent to transpose adversarial patches onto a knitted fabric. Be undetectable or associated with incorrect category such as "animal" (giraffe, zebra, etc) 😎 More: https://www.linkedin.com/posts/visionarynet_artificialintelligence-machinelearning-ml-activity-7059835420628369408-lJOs

🌱 Segment Everything Everywhere 🌱 👉 Segmenting everything using visual/language prompts (BBs, scribbles, text & audio) 😎Review https://bit.ly/3LEiOmx 😎Paper arxiv.org/pdf/2304.06718.pdf 😎Demo huggingface.co/spaces/xdecoder/SEEM 😎Code github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once

🔥 Track Anything: SAM-powered tracking 🔥 👉 SUSTech VIP Lab proposes TAM, a "novel" video tracker powered by SAM 😎Review https://bit.ly/44jwI4W 😎Paper arxiv.org/pdf/2304.11968.pdf 😎Code github.com/gaomingqi/Track-Anything

Hi Everybody, right now I'm flying to NY for a business trip! 👉 Is there anyone is studying/working @NYU? I'd be super excit
Hi Everybody, right now I'm flying to NY for a business trip! 👉 Is there anyone is studying/working @NYU? I'd be super excited to see the campus and (eventually) attend to a few lessons about AI/CV/MATH on Monday (or this Friday) Send me a DM -> @argovision

🪅Inpaint Anything: Segmentation + Inpainting 🪅 👉Remove / Fill /Replace anything (also via prompt). "Inpainting Anything", a new paradigm of “clicking & filling" 😎Review https://bit.ly/43JNREE 😎Paper arxiv.org/pdf/2304.06790.pdf 😎Code github.com/geekyutao/Inpaint-Anything

🌻 DDS: diffusive text-based image editing 🌻 👉Google unveils a novel text-based image editing for modifications of an input image towards a text description. 😎Review https://bit.ly/3L52UBl 😎Paper arxiv.org/pdf/2304.07090.pdf 😎Project delta-denoising-score.github.io

🪬 META's Animated Drawings is out! 🪬 👉#META unveils an easy-to-use method for animating human-like figures drawn by children. 😎Review https://bit.ly/3mGeQQv 😎Paper arxiv.org/pdf/2303.12741.pdf 😎Project fairanimateddrawings.com/site/home 😎Dataset (coming) https://fairanimateddrawings.com/site/dataset 😎Code https://github.com/facebookresearch/AnimatedDrawings#amateur-drawings-dataset

🔥 ALERT: Stable Diffusion XL just launched! 🔥 👉SDXL the new generative AI by Stability.AI for images from text. Up to 1024x1024 resolution, for free. 😎More https://bit.ly/41wrh0j

🥦 Zip-NeRF: the Anti-Aliasing NeRF 🥦 👉#Google unveils a novel version of NeRF able to fix the aliasing problem being 22x faster in training than SOTA. 😎Review https://bit.ly/3L1hZ6M 😎Paper arxiv.org/pdf/2304.06706.pdf 😎Project https://jonbarron.info/zipnerf

👗DreamPose: Fashion I-2-V Diffusion👗 👉 Turning fashion photos into realistic videos via driving pose sequence 😎Review https://bit.ly/3AdNtAN 😎Paper arxiv.org/pdf/2304.06025.pdf 😎Code github.com/johannakarras/DreamPose 😎Project grail.cs.washington.edu/projects/dreampose

💦SegGPT: Segmenting Everything (In Context)💦 👉BAAI unveils SegGPT, a generalist model for segmenting everything in context 😎Review https://bit.ly/3zFkUf2 😎Paper arxiv.org/pdf/2304.03284.pdf 😎Code github.com/baaivision/Painter 😎Demo huggingface.co/spaces/BAAI/SegGPT

🔥 "Segmenting Anything". CRAZY! 🔥 👉#Google unveils a novel model and (1B+) dataset for neural segmentation 🤯 😎Review https://bit.ly/3ZFhjrX 😎Paper https://bit.ly/43788DC 😎Project https://segment-anything.com 😎Code github.com/facebookresearch/segment-anything

🔥 "Segmenting Anything". CRAZY! 🔥 👉#Google unveils a novel model and (1B+) dataset for neural segmentation 🤯 😎Paper https://bit.ly/43788DC 😎Project https://segment-anything.com/ 😎Code github.com/facebookresearch/segment-anything