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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 147 Texnologiyalar & Aralashmalar7 540...

📈 Telegram kanali AI with Papers - Artificial Intelligence & Deep Learning analitikasi

AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 17 261 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 7 540-o'rinni va Malayziya mintaqasida 2 147-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 17 261 obunachiga ega bo‘ldi.

27 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 242 ga, so‘nggi 24 soatda esa -2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 16.94% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.10% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 2 923 marta ko‘riladi; birinchi sutkada odatda 1 225 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 16 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent framework, object, dataset, tba, depth kabi asosiy mavzularga jamlangan.

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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 28 Oktabr, 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.

17 261

Obunachilar

-224 soatlar

+67 kun

+24230 kun

2 923

Post ko'rishlar

~ 1 22524 soatlar

~ 1 52548 soatlar

16.94%

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Postlar arxiv

17 261

🪁 VoxFormer: 2D->#3D Voxel Transformer 🪁 👉#Nvidia VoxFormer: transformer for #3D volumetric semantics from 2D images 😎Paper arxiv.org/pdf/2302.12251.pdf 😎Code github.com/NVlabs/VoxFormer

17 261

🫳 Neural Relighting of Hands 🫴 👉#META unveil the first neural relighting for personalized hands in real-time under novel illumination 😎Review https://bit.ly/3SblmKC 😎Paper arxiv.org/pdf/2302.04866.pdf 😎Project sh8.io/#/relightable_hands

17 261

🏀 #NBA Mixed Reality is NUTS 🏀 👉The premiere of the streaming app of the #NBA is totally INSANE. A mix of #AI, CG and much more👇 🏀More: https://bit.ly/3IJ3uUp

17 261

🛡️ TPV: Tesla's O-Net competitor 🛡️ 👉From Beijing an open-source approach for vision-centric autonomous driving #3D perception 😎Review https://bit.ly/3lNvVYc 😎Paper arxiv.org/pdf/2302.07817.pdf 😎Code github.com/wzzheng/TPVFormer

17 261

🌶️ 3D-aware conditional generative AI 🌶️ 👉 Pix2Pix3D: 3D-aware conditional generative AI for controllable photorealistic synthesis 😎Review https://bit.ly/3I80MWS 😎Paper arxiv.org/pdf/2302.08509.pdf 😎Project www.cs.cmu.edu/~pix2pix3D 😎Code github.com/dunbar12138/pix2pix3D

17 261

🦩 One-Shot Face via LSs of StyleGAN2 🦩 👉 Novel video generation framework with edits, facial motions, deformations & identity 😎Review https://bit.ly/3xuChhF 😎Paper arxiv.org/pdf/2302.07848.pdf 😎Project trevineoorloff.github.io/FaceVideoReenactment_HybridLatents.io/

17 261

📬 DIVOTrack: crossview MOT dataset 📬 👉 DIVOTrack + CrossMOT: the ultimate solution for MOT in realistic scenario 😎Review https://bit.ly/3YSFZgL 😎Paper arxiv.org/pdf/2302.07676.pdf 😎Code github.com/shengyuhao/DIVOTrack

17 261

🦞 SOTA ALERT: YOWOv2 is out! 🦞 👉 The 2nd-gen of YOWO, real-time detection of spatio-temporal action 😎Review https://bit.ly/3IscY60 😎Paper arxiv.org/pdf/2302.06848v1.pdf 😎Code github.com/yjh0410/YOWOv2

17 261

🌅 Novel semantics-guided natural synthesis 🌅 👉Alibaba #AI unveils a novel semantics-guided view synthesis of natural scenes 😎Review https://bit.ly/4115MVJ 😎Paper arxiv.org/pdf/2302.07224.pdf 😎Project zju3dv.github.io/paintingnature

17 261

🌅 Novel semantics-guided natural synthesis 🌅 👉Alibaba #AI unveils a novel semantics-guided view synthesis of natural scenes

17 261

💘 3D-aware Blending via Generative NeRF 💘 👉Novel 3D-aware blending method via generative NeRFs 😎Review https://bit.ly/3lBEJA2 😎Paper arxiv.org/pdf/2302.06608.pdf 😎Project blandocs.github.io/blendnerf 😎Code github.com/naver-ai/BlendNeRF

17 261

🥸 MEGANE: Generative Morphable Eyeglass 🥸 👉#META unveils the most advanced #3D compositional morphable AI for eyeglasses (HD geometry/photometric interaction) 😎Review https://bit.ly/3jOWifu 😎Paper arxiv.org/pdf/2302.04868.pdf 😎Project junxuan-li.github.io/megane

17 261

🎃 In-N-Out: 3D-aware OOD video editing 🎃 👉Novel 3D-aware video editing able to manipulate OOD objects (e.g. heavy makeup, accessories) 😎Review https://bit.ly/3jN0CMu 😎Paper arxiv.org/pdf/2302.04871.pdf 😎Project https://in-n-out-3d.github.io

17 261

🧱 LEGO-Net: Objects in Rooms 🧱 👉Transformer-based iterative method for rearrangement of objects in messy rooms 😎Review https://bit.ly/3HR0fs6 😎Paper arxiv.org/pdf/2301.09629.pdf 😎Project ivl.cs.brown.edu/#/projects/lego-net

17 261

🗿DirectMHP: Multi-Head Pose Estimation🗿 👉Novel E2E multi-person head pose estimation (MPHPE) under full-range angles 😎Review https://bit.ly/3HJubXg 😎Paper arxiv.org/pdf/2302.01110.pdf 😎Code github.com/hnuzhy/DirectMHP

17 261

🗿DirectMHP: Multi-Head Pose Estimation🗿 👉Novel E2E multi-person head pose estimation (MPHPE) under full-range angles

17 261

🌘 Gen-1: next-gen Generative #AI 🌘 👉#Runaway unveils Gen-1: the next step forward for Generative AI. Registration available for beta -> hurry up! 😎Review https://bit.ly/3YqQYh8 😎Project https://research.runwayml.com/gen1

17 261

🦚 MOSE: coMplex video Object SEgmentation 🦚 👉Novel Dataset for VOS is out! SOTA method on DAVIS is only 59.4% on MOSE 😎Review https://bit.ly/40yzSzW 😎Paper arxiv.org/pdf/2302.01872.pdf 😎Project henghuiding.github.io/MOSE/ 😎Code github.com/henghuiding/MOSE-api

17 261

🧩 Text-Guided #3D Texturing 🧩 👉 Text-Guided HQ textures via iterative diffusion-based process 😎Review https://bit.ly/3ldC6Ez 😎Project texturepaper.github.io/TEXTurePaper 😎Code github.com/TEXTurePaper/TEXTurePaper 😎Paper texturepaper.github.io/TEXTurePaper/static/paper.pdf