Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
AI with Papers - Artificial Intelligence & Deep Learning
Kanalga Telegram’da o‘tish
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 17 145 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
Postlar arxiv
🔥 Stable Diffusion 2.0 is out! 🔥
👉The open-source of #StableDiffusion V2 just released. Magic 🤯
😎Review https://bit.ly/3XwGInO
😎Code github.com/Stability-AI/stablediffusion
😎Blog stability.ai/blog/stable-diffusion-v2-release
🍹 Perceptual NeRF-Inpainting 🍹
👉A novel complete process for #3D scene manipulation powered by NeRF
😎Review https://bit.ly/3Vn0EaT
😎Paper arxiv.org/pdf/2211.12254.pdf
😎Project spinnerf3d.github.io
🖌️ Neural Semantic Image Synthesis 🖌️
👉Adobe unveils SceneComposer: text to 2D semantic canvas with precise shapes
😎Review https://bit.ly/3EtDyIL
😎Project zengyu.me/scenec
😎Paper arxiv.org/pdf/2211.11742.pdf
😎Code github.com/zengxianyu/scenec
🔥🔥 "There can be only one" 🔥🔥
👉#Catfighting from the #AI community 😂
😎Review https://bit.ly/3Ax5I4n
🧟♀️ Generative Neural Texture for Avatars 🧟♀️
👉Novel #3D GAN for (the most, ever) detailed facial avatars from unstructured 2D images
😎Review https://bit.ly/3EvF0dS
😎Project mrtornado24.github.io/Next3D/
😎Paper arxiv.org/pdf/2211.11208.pdf
😎Code github.com/MrTornado24/Next3D
🔥🔥MagicVideo: Text-To-Video #AI🔥🔥
👉MagicVideo: novel efficient text-to-video AI based on latent diffusion models
😎Review https://bit.ly/3UX5YCd
😎Paper arxiv.org/pdf/2211.11018.pdf
😎Project magicvideo.github.io/
🎴VideoINR: Neural Video Super-Resolution🎴
👉VideoINR: the new SOTA in Continuous Space-Time Super-Resolution is out!
😎Review https://bit.ly/3gpeudY
😎Paper arxiv.org/pdf/2206.04647.pdf
😎Project zeyuan-chen.com/VideoINR
😎Code github.com/Picsart-AI-Research/VideoINR-Continuous-Space-Time-Super-Resolution
🔥Perfect Human Annotation by Google!🔥
👉TAP-Vid dataset: accurate human annotations + synthetic videos with PERFECT ground-truth
😎Review https://bit.ly/3i1KRzZ
😎Code github.com/deepmind/tapnet
😎Paper arxiv.org/pdf/2211.03726.pdf
🛸Flying-Drones Additive Manufacturing🛸
👉A novel aerial additive manufacturing (Aerial-AM) system via Drones
😎Review https://bit.ly/3XoLZOu
😎Paper www.nature.com/articles/s41586-022-04988-4
🪄The new SOTA in Text-to-3D is out!🪄
👉#Nvidia unveils Magic3D: generative #AI to create #3D textured mesh from text prompts
😎Review https://bit.ly/3Vb6jAO
😎Project deepimagination.cc/Magic3D
😎Paper arxiv.org/pdf/2211.10440.pdf
🔥#StableDiffusion Dataset is out! 🔥
👉DIFFUSIONDB: first large-scale text-to-image dataset: 14 MILLION images with Stable Diffusion!
😎Review https://bit.ly/3V9CpNh
😎Project poloclub.github.io/diffusiondb
😎Paper arxiv.org/pdf/2210.14896.pdf
😎Repo github.com/poloclub/diffusiondb
💎 3DiM: Diffusion Model by Google 💎
👉3DiM: diffusion model for 3D novel view synthesis from as few as a single image
😎Review bit.ly/3UTJFgA
😎Project 3d-diffusion.github.io
😎Paper arxiv.org/pdf/2210.04628.pdf
🐠 FathomNet: #AI in the Oceans 🐠
👉Open-source image dataset for AI about oceans and its inhabitants
😎Review https://bit.ly/3GsW3jh
😎Project fathomnet.org/fathomnet/#/
😎Paper www.nature.com/articles/s41598-022-19939-2
🔥 ROVIS: Robust Online VIS 🔥
👉ROVIS is a novel method for robust online VIS that exhibits impressive accuracy on long clips
😎Review https://bit.ly/3UMugyv
😎Project zitongzhan.github.io/rovis_page/
😎Paper arxiv.org/pdf/2211.09108.pdf
♾ The Universal Image Segmentation ♾
👉OneFormer is the universal framework that unifies: semantic, instance & panoptic 🤯
😎Review https://bit.ly/3g4OAfD
😎Project praeclarumjj3.github.io/oneformer
😎Paper arxiv.org/pdf/2211.06220.pdf
😎Code github.com/SHI-Labs/OneFormer
🎃 eDiff-I: Generative AI by #Nvidia 🎃
👉eDiff-I: generative AI for text-to-image with instant style transfer & "paint-with-words"
😎Review https://bit.ly/3UEESzk
😎Project deepimagination.cc/eDiffi
😎Paper arxiv.org/pdf/2211.01324.pdf
🧶Open-Source Neural Inpainting Suite🧶
👉Lama Cleaner: a free and open-source inpainting tool powered by SOTA #AI model
😎Review https://bit.ly/3Ex2aSq
😎Project github.com/Sanster/lama-cleaner
🏔️ InfiniteNature-Zero: ∞ Video 🏔️
👉Open-source generative #AI for unbounded flythrough videos of natural scenes
😎Review https://bit.ly/3hJYELa
😎Paper arxiv.org/pdf/2207.11148.pdf
😎Project infinite-nature-zero.github.io
😎Code https://github.com/google-research/google-research/tree/master/infinite_nature_zero
🔫 Real-Time Auto Neural Mapping 🔫
👉Robot can densely annotate a scene via fully-autonomous experimental interactions
😎Review https://bit.ly/3GfwQbY
😎Paper arxiv.org/pdf/2210.17325.pdf
😎Project ihaughton.github.io/RobE
🍉 Unifying Flow, Stereo & Depth 🍉
👉A unified neural model for motion and #3D perception tasks
😎Review https://bit.ly/3AbdnFk
😎Paper arxiv.org/pdf/2211.05783.pdf
😎Project haofeixu.github.io/unimatch/
😎Code github.com/autonomousvision/unimatch
