现已上线！2025 年 Telegram 研究 — 年度关键洞察 
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
显示更多📈 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 17 145 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 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 17 145 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。
17 145
订阅者
-724 小时
-427 天
-19730 天
帖子存档
💎 Clothes-Changing Re-Identification 💎
👉The new SOTA in wild Re-identification by mixing appearance & face features
😎Review https://bit.ly/3HdTTUU
😎Paper arxiv.org/pdf/2211.13807.pdf
😎Project www.vision.huji.ac.il/reface
😎Code github.com/bar371/ReFace
👽HD Faces via "Hacked" Smartphone👽
👉A novel method for HD faces from (polarizing-foils) smartphones
😎Review https://bit.ly/3H8yhJN
😎Paper arxiv.org/pdf/2212.01160.pdf
😎Project dazinovic.github.io/polface
🫐 Tracking EVERYTHING in the wild 🫐
👉Disentangling classification from tracking, Track Every Thing Accuracy (TETA) for SOTA
😎Review https://bit.ly/3F2rfU7
😎Paper arxiv.org/pdf/2207.12978.pdf
😎Project www.vis.xyz/pub/tet/
🎨 Dr.3D: adapting 3D GANs to Arts 🎨
👉Novel 3D GAN domain adaptation method for drawings. From portraits to 3D!
😎Review https://bit.ly/3He3Phv
😎Paper arxiv.org/pdf/2211.16798.pdf
😎Project jinwonjoon.github.io/dr3d/
😎Code github.com/JinWonjoon/Dr.3D
Should I write a book (no technicalities, for everyone) about the evolution of the modern Computer Vision / AI ?
🤪 Just another ORDINARY week in #AI community 🤪
😈 Let's talk -> https://bit.ly/3VsEfth
😈 Invite friends -> https://t.me/AI_DeepLearning
💎 SJC: from 2D -> #3D generation 💎
👉 Novel method to convert pretrained 2D diffusion into 3D generative mode
😎Review https://bit.ly/3UppHJx
😎Paper arxiv.org/pdf/2212.00774.pdf
😎Code github.com/pals-ttic/sjc
😎Project pals.ttic.edu/p/score-jacobian-chaining
🔥🔥 #StableDiffusion2 paper is out! 🔥🔥
👉The progress with #StableDiffusion at #neurips2022 conference. Crazy times!
😎Review https://bit.ly/3ESo5Cn
😎Paper arxiv.org/pdf/2210.03142.pdf
🔥#AIwithPapers: we are 5,200+!🔥
👉 Me (and you, all), these days (audio ON!) 🤣
😈 Share -> https://bit.ly/3fA5geu
😈 Invite friends -> https://t.me/AI_DeepLearning
🔥#AIwithPapers: we are 5,200+!🔥
👉 Me (and you, all), these days (audio ON!) 🤣
😈 Share -> https://bit.ly/3fA5geu
😈 Invite friends -> https://t.me/AI_DeepLearning
🧨Fast-SNARF: 150× faster Neural Fields🧨
👉Voxel-based correspondence, pre-computed skinning, and #cuda kernels -> avatar 150x faster!
😎Review https://bit.ly/3OMvEPo
😎Code github.com/xuchen-ethz/fast-snarf
😎Paper dataset.ait.ethz.ch/downloads/fast-snarf/paper.pdf
🚗 3DDesigner: Text-guided Diffusion 🚗
👉Novel method to generate #3D fine-grained objects via textual diffusion
😎Review https://bit.ly/3Fbmyc1
😎Project 3ddesigner-diffusion.github.io/
😎Paper arxiv.org/pdf/2211.14108.pdf
💡Diffusive Generation/Inpainting/Reconstruction💡
👉The first 3D-aware diffusion model purely trained from 2D images only
😎Review https://bit.ly/3XyHyjY
😎Paper arxiv.org/pdf/2211.09869.pdf
😎Code github.com/Anciukevicius/RenderDiffusion
🐈 SpaText: Spatio-Textual Generation 🐈
👉#META AI unveils a novel text-to-image generation using open-vocabulary scene control
😎Review https://bit.ly/3OKcdXz
😎Project pnp-diffusion.github.io/
😎Paper arxiv.org/pdf/2211.14305.pdf
😎Code (coming)
🥬 Diffusive Sketch-Guided Text-to-Image 🥬
👉#Google unveils a universal approach for T2I (pre-trained) diffusion: free-hand, saliency-guided, etc.
😎Review https://bit.ly/3XFVMj2
😎Project sketch-guided-diffusion.github.io/
😎Paper sketch-guided-diffusion.github.io/files/sketch-guided-preprint.pdf
💃EDGE: Diffusive Dancers Generator💃
👉New SOTA in editable human-dancer generation according to the input music
😎Review https://bit.ly/3u2egfY
😎Paper arxiv.org/pdf/2211.10658.pdf
😎Project edge-dance.github.io/
🍫 Tracking in Motion-Blurred Clips 🍫
👉Robust line segment detector in motion-blurred clips -> #SLAM / #3D.
😎Review https://bit.ly/3F2wHrb
😎Paper arxiv.org/pdf/2211.07365.pdf
😎Project levenberg.github.io/FE-LSD/
😎Code github.com/lh9171338/FE-LSD
🔥🔥 UPDATE 🔥🔥
Code Released: https://bit.ly/3tZLWuP
🥇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
