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 17 263 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, 17 263 obunachiga ega bo‘ldi.
28 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 229 ga, so‘nggi 24 soatda esa 1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 17.18% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.02% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 965 marta ko‘riladi; birinchi sutkada odatda 1 211 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 15 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent framework, object, dataset, tba, depth kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
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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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 29 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.
17 263
Obunachilar
+124 soatlar
+17 kun
+22930 kun
Postlar arxiv
🎆 One-Shot Video Generation 🎆
👉Tune-A-Video: One-Shot Video Generation with no training pain!
😎Review https://bit.ly/3hX47il
😎Paper arxiv.org/pdf/2212.11565.pdf
😎Project https://tuneavideo.github.io/
😎Code github.com/showlab/Tune-A-Video
☃️ Neural Smooth Video Composition ☃️
👉The novel SOTA in neural video composition. From a few frames to infinite!
😎Review https://bit.ly/3hRyaIe
😎Code github.com/genforce/StyleSV
😎Paper arxiv.org/pdf/2212.07413.pdf
😎Project genforce.github.io/StyleSV/
❄️ ClimateNeRF: Extreme Climate NeRF ❄️
👉NeRF/based Realistic climate change simulations for disaster forecasting
😎Review https://bit.ly/3vhqdz6
😎Paper arxiv.org/pdf/2211.13226.pdf
😎Project https://climatenerf.github.io
🐬 DeepLSD: Neural Lines Detector 🐬
👉 DeepLSD: novel neural line detector in the wild. Paper, Code, and Models available
😎
😎Paper arxiv.org/pdf/2212.07766.pdf
😎Code github.com/cvg/deeplsd
🥑 InstantAvatar: Avatar in 60 Sec. 🥑
👉Avatars from monocular video in ONE minute (130x faster than SOTA)
😎Review https://bit.ly/3PNw1tJ
😎Paper arxiv.org/pdf/2212.10550.pdf
😎Project tijiang13.github.io/InstantAvatar
🤯 Point·E: the "DALL·E" of 3D points cloud 🤯
👉OpenAI opens Point·E: the "evolution" of DALL·E in the #3D point cloud domain
😎Review https://bit.ly/3I87PR9
😎Code github.com/openai/point-e
😎Paper arxiv.org/pdf/2212.08751.pdf
🔥#AIwithPapers: we are ~5,500!🔥
👉 I see you: everyone hot for #CHATGPT. But Computer Vision still loves you. We miss you all, don't break up with us 🧡
😈 Forward this post!
😈 Let's talk -> https://bit.ly/3v389IT
😈 Invite friends -> https://t.me/AI_DeepLearning
🥻 Neural Cloth Simulation 🥻
👉The most advanced #AI for unsupervised garment animation
😎Review https://bit.ly/3WadOZR
😎Project hbertiche.github.io/NeuralClothSim/
😎Paper
dl.acm.org/doi/pdf/10.1145/3550454.3555491
😎Code
https://github.com/hbertiche/NeuralClothSim
🪴 Rodin: 3D Avatars Using Diffusion 🪴
👉#Microsoft unveils a novel #3D diffusion for digital avatars as NeRF
😎Review https://bit.ly/3jcxeOX
😎Project 3d-avatar-diffusion.microsoft.com
😎Paper arxiv.org/pdf/2212.06135.pdf
🎸 RIFFUSION: #AI that sounds!🎸
👉RIFFUSION: real-time music generation via spectrograms created with #stablediffusion
😎Review https://bit.ly/3GcOtcd
😎Project www.riffusion.com/about
😎App https://www.riffusion.com/
😎Code github.com/riffusion/riffusion-inference
😎Model huggingface.co/riffusion/riffusion-model-v1
🏜Insane Neural Asset by #META 🏜
👉DiffRF: novel 3D radiance field synthesis based on denoising diffusion
😎Review https://bit.ly/3V5Daqo
😎Project sirwyver.github.io/DiffRF/
😎Paper arxiv.org/pdf/2212.01206.pdf
🔥🔥 MODEL UPDATE 🔥🔥
👉 New PIPs checkpoint released with 4x larger batch size and better performance than the "old" #ECCV2022 paper.
👆 In the gif: tracking >5000 points on a camel (1.5s on #Nvidia RTX 3090)
🖼️ PV3D: Generative Portrait Video 🖼️
👉 PV3D: first generative #AI for multi-view consistent portrait videos
😎Review https://bit.ly/3W5l5dn
😎Project showlab.github.io/pv3d/
😎Paper arxiv.org/pdf/2212.06384.pdf
🔥 DRAMA of the week: ARTISTS vs. #AI ART 🔥
👉Generative AI is changing forever (again) how we create images, video and music. Progress brings conflict.
Let's talk: https://bit.ly/3BHOUIN
🔍 DifFace: Super-Face Restoration 🔍
👉The new SOTA face restoration in severe-degradation photos
😎Review https://bit.ly/3YqCsXr
😎Paper arxiv.org/pdf/2212.06512.pdf
😎Code github.com/zsyOAOA/DifFace
🟥 3DHumanGAN: 3D Human GAN 🟥
👉 The first ever 3D-aware GAN for full-body humans is out!
😎Review https://bit.ly/3V07QJE
😎Paper arxiv.org/pdf/2212.07378.pdf
😎Code 3dhumangan.github.io/
😎Project github.com/3dhumangan/3DHumanGAN
☔ ECON: Explicit Clothed #Avatars ☔
👉ECON: high-fidelity 3D humans even in loose clothes and challenging poses
😎Review https://bit.ly/3W21Wsu
😎Paper arxiv.org/pdf/2212.07422.pdf
😎Project https://xiuyuliang.cn/econ/
😎Code https://github.com/YuliangXiu/ECON
🎯 MOTRv2: Tracking by Pretrained Model 🎯
👉MOTRv2: e2e multi-object tracking with pretrained detector
😎Review https://bit.ly/3UYzvdN
😎Paper arxiv.org/pdf/2211.09791.pdf
😎Code github.com/megvii-research/MOTRv2
🧲 MAGVIT: 250x Faster Transformer 🧲
👉MAGVIT: ONE model -> 10+ video synthesis tasks!
😎Review https://bit.ly/3FX2P09
😎Project magvit.cs.cmu.edu/
😎Paper arxiv.org/pdf/2212.05199.pdf
😎Code github.com/MAGVIT/magvit
🐲 Neural Rendering from Web Images 🐲
👉Snap opens the novel SOTA in neural rendering from online image collections
😎Review https://bit.ly/3VPOjwy
😎Project formyfamily.github.io/NeROIC/
😎Paper arxiv.org/pdf/2201.02533.pdf
😎Code github.com/snap-research/NeROIC
