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

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Malayziya2 235 Texnologiyalar & Aralashmalar7 702...

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AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 17 145 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 7 702-o'rinni va Malayziya mintaqasida 2 235-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 17 145 obunachiga ega bo‘ldi.

24 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -197 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 25.73% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.87% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 4 411 marta ko‘riladi; birinchi sutkada odatda 1 177 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 26 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent framework, object, dataset, tba, depth kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 25 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

17 145

Obunachilar

-724 soatlar

-427 kunlar

-19730 kunlar

4 411

Post ko'rishlar

~ 1 17724 soatlar

~ 1 35348 soatlar

25.73%

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Ma'lumot yo'q

Kuniga postlar

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Postlar arxiv

17 144

💎 Clothes-Changing Re-Identification 💎 👉The new SOTA in wild Re-identification by mixing appearance & face features 😎Review https://bit.ly/3HdTTUU 😎Paper arxiv.org/pdf/2211.13807.pdf 😎Project www.vision.huji.ac.il/reface 😎Code github.com/bar371/ReFace

17 144

👽HD Faces via "Hacked" Smartphone👽 👉A novel method for HD faces from (polarizing-foils) smartphones 😎Review https://bit.ly/3H8yhJN 😎Paper arxiv.org/pdf/2212.01160.pdf 😎Project dazinovic.github.io/polface

17 144

🫐 Tracking EVERYTHING in the wild 🫐 👉Disentangling classification from tracking, Track Every Thing Accuracy (TETA) for SOTA 😎Review https://bit.ly/3F2rfU7 😎Paper arxiv.org/pdf/2207.12978.pdf 😎Project www.vis.xyz/pub/tet/

17 144

🎨 Dr.3D: adapting 3D GANs to Arts 🎨 👉Novel 3D GAN domain adaptation method for drawings. From portraits to 3D! 😎Review https://bit.ly/3He3Phv 😎Paper arxiv.org/pdf/2211.16798.pdf 😎Project jinwonjoon.github.io/dr3d/ 😎Code github.com/JinWonjoon/Dr.3D

17 144

Comments: https://bit.ly/3B6T6S9

17 144

Should I write a book (no technicalities, for everyone) about the evolution of the modern Computer Vision / AI ?

Anonymous voting

17 144

🤪 Just another ORDINARY week in #AI community 🤪 😈 Let's talk -> https://bit.ly/3VsEfth 😈 Invite friends -> https://t.me/AI_DeepLearning

17 144

💎 SJC: from 2D -> #3D generation 💎 👉 Novel method to convert pretrained 2D diffusion into 3D generative mode 😎Review https://bit.ly/3UppHJx 😎Paper arxiv.org/pdf/2212.00774.pdf 😎Code github.com/pals-ttic/sjc 😎Project pals.ttic.edu/p/score-jacobian-chaining

17 144

🔥🔥 #StableDiffusion2 paper is out! 🔥🔥 👉The progress with #StableDiffusion at #neurips2022 conference. Crazy times! 😎Review https://bit.ly/3ESo5Cn 😎Paper arxiv.org/pdf/2210.03142.pdf

17 144

🔥#AIwithPapers: we are 5,200+!🔥 👉 Me (and you, all), these days (audio ON!) 🤣 😈 Share -> https://bit.ly/3fA5geu 😈 Invite friends -> https://t.me/AI_DeepLearning

17 144

🔥#AIwithPapers: we are 5,200+!🔥 👉 Me (and you, all), these days (audio ON!) 🤣 😈 Share -> https://bit.ly/3fA5geu 😈 Invite friends -> https://t.me/AI_DeepLearning

17 144

🧨Fast-SNARF: 150× faster Neural Fields🧨 👉Voxel-based correspondence, pre-computed skinning, and #cuda kernels -> avatar 150x faster! 😎Review https://bit.ly/3OMvEPo 😎Code github.com/xuchen-ethz/fast-snarf 😎Paper dataset.ait.ethz.ch/downloads/fast-snarf/paper.pdf

17 144

🚗 3DDesigner: Text-guided Diffusion 🚗 👉Novel method to generate #3D fine-grained objects via textual diffusion 😎Review https://bit.ly/3Fbmyc1 😎Project 3ddesigner-diffusion.github.io/ 😎Paper arxiv.org/pdf/2211.14108.pdf

17 144

💡Diffusive Generation/Inpainting/Reconstruction💡 👉The first 3D-aware diffusion model purely trained from 2D images only 😎Review https://bit.ly/3XyHyjY 😎Paper arxiv.org/pdf/2211.09869.pdf 😎Code github.com/Anciukevicius/RenderDiffusion

17 144

🐈 SpaText: Spatio-Textual Generation 🐈 👉#META AI unveils a novel text-to-image generation using open-vocabulary scene control 😎Review https://bit.ly/3OKcdXz 😎Project pnp-diffusion.github.io/ 😎Paper arxiv.org/pdf/2211.14305.pdf 😎Code (coming)

17 144

🥬 Diffusive Sketch-Guided Text-to-Image 🥬 👉#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc. 😎Review https://bit.ly/3XFVMj2 😎Project sketch-guided-diffusion.github.io/ 😎Paper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf

17 144

💃EDGE: Diffusive Dancers Generator💃 👉New SOTA in editable human-dancer generation according to the input music 😎Review https://bit.ly/3u2egfY 😎Paper arxiv.org/pdf/2211.10658.pdf 😎Project edge-dance.github.io/

17 144

🍫 Tracking in Motion-Blurred Clips 🍫 👉Robust line segment detector in motion-blurred clips -> #SLAM / #3D. 😎Review https://bit.ly/3F2wHrb 😎Paper arxiv.org/pdf/2211.07365.pdf 😎Project levenberg.github.io/FE-LSD/ 😎Code github.com/lh9171338/FE-LSD

17 144

🔥🔥 UPDATE 🔥🔥 Code Released: https://bit.ly/3tZLWuP

17 144

🥇MineDojo: Agents at Internet-Scale🥇 👉The #neurips2022 Outstanding Paper Award winner is out. By #Nvidia et al. 😎Review https://bit.ly/3F0RPhN 😎Project https://minedojo.org/ 😎Paper arxiv.org/pdf/2206.08853.pdf 😎Code github.com/MineDojo/MineDojo