¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
AI with Papers - Artificial Intelligence & Deep Learning
Ir al canal en Telegram
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
Mostrar más📈 Análisis del canal de Telegram AI with Papers - Artificial Intelligence & Deep Learning
El canal AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 17 137 suscriptores, ocupando la posición 7 702 en la categoría Tecnologías y Aplicaciones y el puesto 2 235 en la región Malasia.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 17 137 suscriptores.
Según los últimos datos del 24 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -197, y en las últimas 24 horas de -7, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 25.73%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.87% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 4 411 visualizaciones. En el primer día suele acumular 1 177 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 26.
- Intereses temáticos: El contenido se centra en temas clave como framework, object, dataset, tba, depth.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 25 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
17 137
Suscriptores
-724 horas
-427 días
-19730 días
Archivo de publicaciones
🦒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
