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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
Ko'proq ko'rsatish📈 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 17 137 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, 17 137 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.
17 137
Obunachilar
-724 soatlar
-427 kunlar
-19730 kunlar
Postlar arxiv
🗺️ S-NeRF: NeRF for Street Views 🗺️
👉S-NeRF: novel view synthesis of streets & foreground moving vehicles jointly
😎Review https://bit.ly/3KZUN9w
😎Paper arxiv.org/pdf/2303.00749.pdf
😎Project ziyang-xie.github.io/s-nerf/
😎Code (soon)
🗺️ S-NeRF: NeRF for Street Views 🗺️
👉S-NeRF: novel view synthesis of streets & foreground moving vehicles jointly
🌸 3DGP: ImageNet in #3D 🌸
👉 Snap unveils 3DGP: a novel 3D generator with Generic Priors
😎Review https://bit.ly/3KWHUgG
😎Paper arxiv.org/pdf/2303.01416.pdf
😎Project snap-research.github.io/3dgp/
😎Code github.com/snap-research/3dgp
🩻 Independent Tokens for 3D Human 🩻
👉Tencent open-sourcing a novel method to estimate #3D human pose and shape from monocular videos
😎Review https://bit.ly/3Zz0uiH
😎Paper arxiv.org/pdf/2303.00298.pdf
😎Code (soon) github.com/yangsenius/INT_HMR_Model
😎Project yangsenius.github.io/INT_HMR_Model/index.html
🛸 TAU: video traffic analytics via UAVs 🛸
👉 Prince Sultan University unveils TAU: AI-integrated video analytics framework from UAVs' POV
😎Review https://bit.ly/3EQIh8F
😎Paper arxiv.org/pdf/2303.00337.pdf
😎Project github.com/bilel-bj/TAU
👑 ControNet: Conditional Control of Diffusion 👑
👉Controlling Stable Diffusion via conditional inputs like edges, segmentation, keypoints, etc. Extra: a super-nice tutorial.
😎Review https://bit.ly/3YgjrWt
😎Paper arxiv.org/pdf/2302.05543.pdf
😎Code github.com/lllyasviel/ControlNet
😎Tutorial https://github.com/Mikubill/sd-webui-controlnet/discussions/204
🐇 SplineCam: Neural Decision Boundary 🐇
👉#META -> SplineCam: a step towards neural visualization / interpretability
😎Review https://bit.ly/3mgoOaH
😎Paper arxiv.org/pdf/2302.12828.pdf
😎Project imtiazhumayun.github.io/splinecam
😎Code github.com/AhmedImtiazPrio/SplineCAM
🏉 SLAHMR: 4D People from Clip in-the-Wild 🏉
👉UC-Berkeley unveils SLAHMR: novel method to reconstruct global human trajectories from videos
😎Review https://bit.ly/3SzTIaj
😎Paper arxiv.org/pdf/2302.12827.pdf
😎Project vye16.github.io/slahmr/
😎Code github.com/vye16/slahmr
⚽️ Vid2Avatar: 3D Avatar from Videos ⚽️
👉Vid2Avatar: detailed 3D avatar from monocular videos in the wild
😎Review https://bit.ly/3ISbceD
😎Paper arxiv.org/pdf/2302.11566.pdf
😎Project moygcc.github.io/vid2avatar
😎Code (soon) github.com/MoyGcc
🪞DisCO: Selfie Correction with 3D-GAN🪞
👉Snap (et al.) unveils a GAN-based method for correcting distortions in close-up faces
😎Review https://bit.ly/3StGGuX
😎Paper arxiv.org/pdf/2302.12253.pdf
😎Project https://portrait-disco.github.io
🪁 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
🫳 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
🏀 #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
🛡️ 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
🌶️ 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
🦩 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/
📬 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
🦞 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
🌅 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
🌅 Novel semantics-guided natural synthesis 🌅
👉Alibaba #AI unveils a novel semantics-guided view synthesis of natural scenes
