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AI with Papers - Artificial Intelligence & Deep Learning

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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📈 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
Posts Archive
🐲🐲NeROIC: Neural Rendering from Web Images🐲🐲 👉#Snap open-sourcing the novel SOTA in neural rendering from online image collections.

👁️ Eye Tracking: the Tear Film Lipid 👁️ 👉 Berkeley unveils a novel approach for DED, fully CV-based 😎Review https://bit.ly/3FndGyY 😎Project easytear-dev.github.io/ 😎Paper arxiv.org/pdf/2212.03450.pdf

💎4K-NeRF: Ultra High Resolution NeRF💎 👉Alibaba unveils the novel SOTA in Ultra High Resolution NeRF -> Up to 4K! 😎Review https://bit.ly/3hh3YGj 😎Code github.com/frozoul/4K-NeRF 😎Paper arxiv.org/pdf/2212.04701.pdf

🦄 #3D Human Motion from Speech 🦄 👉The new SOTA in generating 3D holistic body motions from human speech 😎Review https://bit.ly/3W59RVB 😎Project talkshow.is.tue.mpg.de/ 😎Paper arxiv.org/pdf/2212.04420.pdf

🦄 #3D Human Motion from Speech 🦄 👉The new SOTA in generating 3D holistic body motions from human speech

🪂 Fast Neural Deferred Shading 🪂 👉Novel fast multi-view 3D reconstruction of opaque objects with arbitrary materials & light 😎https://bit.ly/3Brs9bY 😎Project fraunhoferhhi.github.io/neural-deferred-shading 😎Code github.com/fraunhoferhhi/neural-deferred-shading 😎Paper mworchel.github.io/assets/papers/neural_deferred_shading_with_supp.pdf

🔥 #StableDiffusion 2.1 is out! 🔥 👉Stability.ai releases Stable Diffusion v2.1 and DreamStudio-Updates_7-Dec 22. 😎Review h
🔥 #StableDiffusion 2.1 is out! 🔥 👉Stability.ai releases Stable Diffusion v2.1 and DreamStudio-Updates_7-Dec 22. 😎Review https://bit.ly/3Y49898 😎Code github.com/Stability-AI/stablediffusion 😎Blog stability.ai/blog/stablediffusion2-1-release7-dec-2022

🧰UDE: Unified Human Motion Generation🧰 👉The first unified human motion from Text or Audio. Audio ON, New SOTA. 😎Review https://bit.ly/3HjWsVN 😎Paper arxiv.org/pdf/2211.16016.pdf 😎Project zixiangzhou916.github.io/UDE 😎Code github.com/zixiangzhou916/UDE

🐸 RANA: Neural Avatar by #Nvidia 🐸 👉Neural humans under arbitrary viewpoints, body poses & lighting 😎Review https://bit.ly/3iIYOTP 😎Paper arxiv.org/pdf/2212.03237.pdf 😎Project nvlabs.github.io/RANA

👘 SOTA: One-Shot Animatable Avatars 👘 👉ELICIT: synthesis & avatar animation -> NeRF representation in one-shot 😎Review https://bit.ly/3P3eZY6 😎Paper arxiv.org/pdf/2212.02469.pdf 😎Project https://elicit3d.github.io/ 😎Code github.com/huangyangyi/ELICIT

💎 Clothes-Changing Re-Identification 💎 👉The new SOTA in wild Re-identification by mixing appearance & face features 😎Review https://bit.ly/3HdTTUU 😎Paper arxiv.org/pdf/2211.13807.pdf 😎Project www.vision.huji.ac.il/reface 😎Code github.com/bar371/ReFace

👽HD Faces via "Hacked" Smartphone👽 👉A novel method for HD faces from (polarizing-foils) smartphones 😎Review https://bit.ly/3H8yhJN 😎Paper arxiv.org/pdf/2212.01160.pdf 😎Project dazinovic.github.io/polface

🫐 Tracking EVERYTHING in the wild 🫐 👉Disentangling classification from tracking, Track Every Thing Accuracy (TETA) for SOTA 😎Review https://bit.ly/3F2rfU7 😎Paper arxiv.org/pdf/2207.12978.pdf 😎Project www.vis.xyz/pub/tet/

🎨 Dr.3D: adapting 3D GANs to Arts 🎨 👉Novel 3D GAN domain adaptation method for drawings. From portraits to 3D! 😎Review https://bit.ly/3He3Phv 😎Paper arxiv.org/pdf/2211.16798.pdf 😎Project jinwonjoon.github.io/dr3d/ 😎Code github.com/JinWonjoon/Dr.3D

Should I write a book (no technicalities, for everyone) about the evolution of the modern Computer Vision / AI ?
Anonymous voting

🤪 Just another ORDINARY week in #AI community 🤪 😈 Let's talk -> https://bit.ly/3VsEfth 😈 Invite friends -> https://t.me/AI_DeepLearning

💎 SJC: from 2D -> #3D generation 💎 👉 Novel method to convert pretrained 2D diffusion into 3D generative mode 😎Review https://bit.ly/3UppHJx 😎Paper arxiv.org/pdf/2212.00774.pdf 😎Code github.com/pals-ttic/sjc 😎Project pals.ttic.edu/p/score-jacobian-chaining

🔥🔥 #StableDiffusion2 paper is out! 🔥🔥 👉The progress with #StableDiffusion at #neurips2022 conference. Crazy times! 😎Rev
🔥🔥 #StableDiffusion2 paper is out! 🔥🔥 👉The progress with #StableDiffusion at #neurips2022 conference. Crazy times! 😎Review https://bit.ly/3ESo5Cn 😎Paper arxiv.org/pdf/2210.03142.pdf

🔥#AIwithPapers: we are 5,200+!🔥 👉 Me (and you, all), these days (audio ON!) 🤣 😈 Share -> https://bit.ly/3fA5geu 😈 Invite friends -> https://t.me/AI_DeepLearning