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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

Malaysia2 147 Technologies & Applications7 540...

📈 Analytical overview of Telegram channel AI with Papers - Artificial Intelligence & Deep Learning

Channel AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) in the English language segment is an active participant. Currently, the community unites 17 261 subscribers, ranking 7 540 in the Technologies & Applications category and 2 147 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 261 subscribers.

According to the latest data from 27 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 242 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 16.94%. Within the first 24 hours after publication, content typically collects 7.10% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 923 views. Within the first day, a publication typically gains 1 225 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 16.
Thematic interests: Content is focused on key topics such as framework, object, dataset, tba, depth.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 28 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

17 261

Subscribers

-224 hours

+67 days

+24230 days

2 923

Post views

~ 1 22524 hours

~ 1 52548 hours

16.94%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

17 261

🎆 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

17 261

☃️ 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/

17 261

❄️ 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

17 261

🐬 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

17 261

🥑 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

17 261

🤯 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

17 261

🔥#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

17 261

🥻 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

17 261

🪴 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

17 261

🎸 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

17 261

🏜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

17 261

🔥🔥 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)

17 261

🖼️ 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

17 261

🔥 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

17 261

🔍 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

17 261

🟥 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

17 261

☔ 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

17 261

🎯 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

17 261

🧲 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

17 261

🐲 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