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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
Show more📈 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 17 137 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 17 137 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.
17 137
Subscribers
-724 hours
-427 days
-19730 days
Posts Archive
🦒SOTA ALERT: Synthetic 3D Cities 🦒
👉UrbanGIRAFFE: novel SOTA generator of photorealistic #3D-aware urban image with full controllability
😎Review https://bit.ly/42ZdX5Q
😎Paper arxiv.org/pdf/2303.14167.pdf
😎Project lv3d.github.io/urbanGIRAFFE
🛎 Neural 6-DoF Tracking + 3D Reconstruction 🛎
👉The novel SOTA for real-time 6-DoF tracking of unknown objects, while simultaneously performing neural 3D
😎Review https://bit.ly/3lHVoT2
😎Paper arxiv.org/pdf/2303.14158.pdf
😎Project bundlesdf.github.io/
📊 Neural vs. Old School ML 📊
✅ The choice of Deep Learning-based AI vs. traditional ML may depend on the specific application and problem being addressed.
👉 What's your favorite approach? Please vote: https://bit.ly/3LQU774
📊 Neural vs. Old School ML 📊
✅ The choice of Deep Learning-based AI vs. traditional ml may depend on the specific application and problem being addressed.
👉 What's your favorite approach? Please vote: https://bit.ly/3LQU774
🥦 ReBotNet: Neural Real-Time Enhancement 🥦
👉#Google unveils ReBotNet, novel real-time video enhancement for live video calls & streams
😎Review https://bit.ly/3z8oqhG
😎Paper arxiv.org/pdf/2303.13504.pdf
😎Project jeya-maria-jose.github.io/rebotnet-web
🪲Neural 4K Color Style Transfer🪲
👉#Adobe 4K color style transfer: no artifacts, low memory & super-speed!
😎Review https://bit.ly/3TNKtUE
😎Paper arxiv.org/pdf/2303.13511.pdf
😎Project zhkkke.github.io/NeuralPreset
😎Code github.com/ZHKKKe/NeuralPreset
😎Demo zhkkke.github.io/NeuralPreset/#/editor
🔥 Is ChatGPT (close to) an AGI? 🔥
👉According to Microsoft #ChatGPT is an early (yet still incomplete) version of an artificial general intelligence system. Math, coding, vision, medicine, law, psychology and more.
👉Flame here: https://bit.ly/3K3Q1XC 🤣
🌈 #3D Editing with Instructions 🌈
👉A novel method for editing NeRF scenes with text-instructions
😎Review https://bit.ly/3K3putM
😎Paper https://arxiv.org/pdf/2303.12789.pdf
😎Project https://instruct-nerf2nerf.github.io
🛌 CC3D: Layout-Conditioned 3D Generation 🛌
👉A novel step towards the realistic multi-object scene generation
😎Review https://bit.ly/3JXG0v3
😎Paper arxiv.org/pdf/2303.12074.pdf
😎Project sherwinbahmani.github.io/cc3d
😎Code github.com/sherwinbahmani/cc3d
📘 Free Book: Understanding Deep Learning 📘
👉From MIT Press, a fresh book for mastering the Deep Learning & #AI
😎Download https://bit.ly/3JUHMNv
💀 SDFStudio: Unified Surface Reconstruction 💀
👉A unified (and open) framework for neural implicit surface reconstruction
😎Review https://bit.ly/3yUvuP2
😎Project autonomousvision.github.io/sdfstudio
😎Code github.com/autonomousvision/sdfstudio
😎Doc github.com/autonomousvision/sdfstudio/blob/master/docs/sdfstudio-methods.md
<img src="assets/img/emoji/1f480.png" class="emoji" alt="💀"> SDFStudio: Unified Surface Reconstruction <img src="assets/img/emoji/1f480.png" class="emoji" alt="💀">
<img src="assets/img/emoji/1f449.png" class="emoji" alt="👉">A unified (and open) framework for neural implicit surface reconstruction
<img src="assets/img/emoji/1f60e.png" class="emoji" alt="😎">Review https://bit.ly/3yUvuP2
<img src="assets/img/emoji/1f60e.png" class="emoji" alt="😎">Project autonomousvision.github.io/sdfstudio
<img src="assets/img/emoji/1f60e.png" class="emoji" alt="😎">Code github.com/autonomousvision/sdfstudio
<img src="assets/img/emoji/1f60e.png" class="emoji" alt="😎">Doc github.com/autonomousvision/sdfstudio/blob/master/docs/sdfstudio-methods.md
🐍🐍 ViperGPT: Visual Inference / Reasoning 🐍🐍
👉ViperGPT: vision/language -> code to produce results for any query
😎Review https://bit.ly/3n6yw01
😎Paper arxiv.org/pdf/2303.08128.pdf
😎Project viper.cs.columbia.edu/
😎Code github.com/cvlab-columbia/viper
🎀 The baby is born: GPT-4 is out! 🎀
👉GPT-4 is the new LLM (accepting image and text inputs, emitting text outputs) with human-level performance on various professional and academic benchmarks
😎More: https://bit.ly/3LntuWL
🐢 GigaGAN: ultra-GAN for Neural Synthesis 🐢
👉 Novel method that far exceeds the previous limits of GAN -> ultra HD images!
😎Review https://bit.ly/3ZYnZBX
😎Paper arxiv.org/pdf/2303.05511.pdf
😎Project mingukkang.github.io/GigaGAN
🚀 Visual ChatGPT: Talking, Drawing & Editing 🚀
👉 Microsoft extends ChatGPT to handle visual information
😎Review https://bit.ly/3LkSJJD
😎Paper arxiv.org/pdf/2303.04671.pdf
😎Code https://github.com/microsoft/visual-chatgpt
🧩 X-Avatar: Expressive Human Avatars 🧩
👉ETHZ (+Microsoft) unveils X-Avatar: digital expressive humans for life-like experiences (#AR / #VR)
😎Review https://bit.ly/3J6YDLH
😎Paper arxiv.org/pdf/2303.04805.pdf
😎Project https://skype-line.github.io/projects/X-Avatar/
😎Code https://github.com/Skype-line/X-Avatar
+2🐠🐡 DeepSeeColor: Under the Sea in Colors 🐡🐠
👉 DeepSeeColor: real-time adaptive color correction under the sea
😎Review https://bit.ly/3mxGuyP
😎Paper arxiv.org/pdf/2303.04025.pdf
😎Code warp.whoi.edu/deepseecolor
⚠️ BREAKING: Stability Acquires Init ML ⚠️
👉 Stability AI (#stablediffusion) announces the acquisition of Clipdrop makers 🤯
👉 More: https://bit.ly/3JhKkVO
🧱 MobileBrick: #3D object on mobile 🧱
👉#Apple (+Oxford) exploiting #LEGO bricks to open the most precise #3D dataset ever. Suitable for mobile #AR
😎Review https://bit.ly/3ZqbiAh
😎Paper arxiv.org/pdf/2303.01932.pdf
😎Project code.active.vision/MobileBrick/
😎Code github.com/ActiveVisionLab/MobileBrick
