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 17 263 名订阅者，在 技术与应用 类别中位列第 7 540，并在 马来西亚 地区排名第 2 147 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 17 263 名订阅者。
根据 28 十月, 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 229，过去 24 小时变化为 1，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 17.18%。内容发布后 24 小时内通常能获得 7.02% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 965 次浏览，首日通常累积 1 211 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 15。
- 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 29 十月, 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。
17 263
订阅者
+124 小时
+17 天
+22930 天
帖子存档
🐲🐲NeROIC: Neural Rendering from Web Images🐲🐲
👉#Snap open-sourcing the novel SOTA in neural rendering from online image collections.
👁️ Eye Tracking: the Tear Film Lipid 👁️
👉 Berkeley unveils a novel approach for DED, fully CV-based
😎Review https://bit.ly/3FndGyY
😎Project easytear-dev.github.io/
😎Paper arxiv.org/pdf/2212.03450.pdf
💎4K-NeRF: Ultra High Resolution NeRF💎
👉Alibaba unveils the novel SOTA in Ultra High Resolution NeRF -> Up to 4K!
😎Review https://bit.ly/3hh3YGj
😎Code github.com/frozoul/4K-NeRF
😎Paper arxiv.org/pdf/2212.04701.pdf
🦄 #3D Human Motion from Speech 🦄
👉The new SOTA in generating 3D holistic body motions from human speech
😎Review https://bit.ly/3W59RVB
😎Project talkshow.is.tue.mpg.de/
😎Paper arxiv.org/pdf/2212.04420.pdf
🦄 #3D Human Motion from Speech 🦄
👉The new SOTA in generating 3D holistic body motions from human speech
🪂 Fast Neural Deferred Shading 🪂
👉Novel fast multi-view 3D reconstruction of opaque objects with arbitrary materials & light
😎https://bit.ly/3Brs9bY
😎Project fraunhoferhhi.github.io/neural-deferred-shading
😎Code github.com/fraunhoferhhi/neural-deferred-shading
😎Paper mworchel.github.io/assets/papers/neural_deferred_shading_with_supp.pdf
🔥 #StableDiffusion 2.1 is out! 🔥
👉Stability.ai releases Stable Diffusion v2.1 and DreamStudio-Updates_7-Dec 22.
😎Review https://bit.ly/3Y49898
😎Code github.com/Stability-AI/stablediffusion
😎Blog stability.ai/blog/stablediffusion2-1-release7-dec-2022
🧰UDE: Unified Human Motion Generation🧰
👉The first unified human motion from Text or Audio. Audio ON, New SOTA.
😎Review https://bit.ly/3HjWsVN
😎Paper arxiv.org/pdf/2211.16016.pdf
😎Project zixiangzhou916.github.io/UDE
😎Code github.com/zixiangzhou916/UDE
🐸 RANA: Neural Avatar by #Nvidia 🐸
👉Neural humans under arbitrary viewpoints, body poses & lighting
😎Review https://bit.ly/3iIYOTP
😎Paper arxiv.org/pdf/2212.03237.pdf
😎Project nvlabs.github.io/RANA
👘 SOTA: One-Shot Animatable Avatars 👘
👉ELICIT: synthesis & avatar animation -> NeRF representation in one-shot
😎Review https://bit.ly/3P3eZY6
😎Paper arxiv.org/pdf/2212.02469.pdf
😎Project https://elicit3d.github.io/
😎Code github.com/huangyangyi/ELICIT
💎 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
