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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 17 145 subscribers, ranking 7 702 in the Technologies & Applications category and 2 235 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 145 subscribers.

According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -197 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 25.73%. Within the first 24 hours after publication, content typically collects 6.87% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 4 411 views. Within the first day, a publication typically gains 1 177 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 26.
  • 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 25 June, 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.

17 145
Subscribers
-724 hours
-427 days
-19730 days
Posts Archive
🏜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

🐲🐲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