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 210 Technologies & Applications7 681...

📈 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 17 127 subscribers, ranking 7 681 in the Technologies & Applications category and 2 210 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 127 subscribers.

According to the latest data from 28 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -170 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 13.02%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 230 views. Within the first day, a publication typically gains 0 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 29 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.

17 127

Subscribers

+424 hours

-327 days

-17030 days

2 230

Post views

No data24 hours

No data48 hours

13.02%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

17 127

🥇MineDojo: Agents at Internet-Scale🥇 👉The #neurips2022 Outstanding Paper Award winner is out. By #Nvidia et al. 😎Review https://bit.ly/3F0RPhN 😎Project https://minedojo.org/ 😎Paper arxiv.org/pdf/2206.08853.pdf 😎Code github.com/MineDojo/MineDojo

17 127

🔥 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

17 127

🍹 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

17 127

🖌️ 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

17 127

🔥🔥 "There can be only one" 🔥🔥 👉#Catfighting from the #AI community 😂 😎Review https://bit.ly/3Ax5I4n

17 127

🧟‍♀️ 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

17 127

🔥🔥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/

17 127

🎴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

17 127

🔥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

17 127

🛸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

17 127

🪄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

17 127

🔥#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

17 127

💎 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

17 127

🐠 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

17 127

🔥 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

17 127

♾ 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

17 127

🎃 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

17 127

🧶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

17 127

🏔️ 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

17 127

🔫 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