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AI with Papers - Artificial Intelligence & Deep Learning

AI with Papers - Artificial Intelligence & Deep Learning

前往频道在 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

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📈 Telegram 频道 AI with Papers - Artificial Intelligence & Deep Learning 的分析概览

频道 AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 17 137 名订阅者,在 技术与应用 类别中位列第 7 702,并在 马来西亚 地区排名第 2 235

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 17 137 名订阅者。

根据 24 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -197,过去 24 小时变化为 -7,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 25.73%。内容发布后 24 小时内通常能获得 6.87% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 4 411 次浏览,首日通常累积 1 177 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 26
  • 主题关注点: 内容集中在 framework, object, dataset, tba, depth 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
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

凭借高频更新(最新数据采集于 25 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

17 137
订阅者
-724 小时
-427
-19730
帖子存档
🦒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 applicati
📊 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 artifi
🔥 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 hu
🎀 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

🐠🐡 DeepSeeColor: Under the Sea in Colors 🐡🐠 👉 DeepSeeColor: real-time adaptive color correction under the sea 😎Review h
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🐠🐡 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