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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 17 263 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
🐓 DREAMIX: General Diffusion Video Editors 🐓 👉#Google unveils the first diffusion-based method able to perform text-based motion/appearance editing of general videos 😎Review https://bit.ly/3I3Hq6B 😎Paper arxiv.org/pdf/2302.01329.pdf 😎Project dreamix-video-editing.github.io/

💧FLOW360: 360° Neural Optical Flow💧 👉 IIT unveils the first perceptually realistic 360° video benchmark dataset + SLOF method for OF tracking 😎Review https://bit.ly/3wMZZoX 😎Paper arxiv.org/pdf/2301.11880.pdf 😎Project https://siamlof.github.io

🛋️🛋️ 100% Accurated #3D Labeling 🛋️🛋️ 👉#Amazon unveils a novel tool for fine-grained 3D part labeling. Up to 100% accura
🛋️🛋️ 100% Accurated #3D Labeling 🛋️🛋️ 👉#Amazon unveils a novel tool for fine-grained 3D part labeling. Up to 100% accuracy! Paper (only😢) 😎Review https://bit.ly/3kYpQHQ 😎Paper https://arxiv.org/pdf/2301.10460.pdf

⭐ Mono-STAR: Unified Tracking/Reconstruction ⭐ 👉Real-time 3D unified framework for semantic fusion, tracking, non-rigid deformation, and topological changes 😎Review https://bit.ly/3Dxvxmx 😎Paper arxiv.org/pdf/2301.13244.pdf 😎Project github.com/changhaonan/Mono-STAR-demo

🚛 Text-driven Video Neural Editing 🚛 👉A novel text-guided video editing with both appearance/shape 😎Review https://bit.ly/3YcfMJO 😎Paper arxiv.org/pdf/2301.13173.pdf 😎Project text-video-edit.github.io/

🎷Audio-Visual Semantic Segmentation🎷 👉A novel problem in #AI: pixel-level segmentation of objects that produce sound in the image frame 😎Review https://bit.ly/3wFY6dw 😎Paper arxiv.org/pdf/2301.13190.pdf 😎Project opennlplab.github.io/AVSBench 😎Code github.com/OpenNLPLab/AVSBench

🐦 PhyCV: Physics-inspired Computer Vision 🐦 👉From UCLA, the first Physics-inspired Computer Vision Library 😎Review https://bit.ly/3HEWozI 😎Code github.com/JalaliLabUCLA/phycv 😎Project photonics.ucla.edu/2022/05/12/jalali-lab-open-sources-phycv-a-physics-inspired-computer-vision-library/

😍 CLIP/GPT3-driven Affective Faces 😍 👉Columbia unveils a novel framework for facial expressions retrieval given the context of the speaker 😎Review https://bit.ly/3HERna0 😎Paper arxiv.org/pdf/2301.10939.pdf 😎Project realtalk.cs.columbia.edu 😎Code github.com/scottgeng00/realtalk

🔥CutLER: Unsupervised Segmentation 🔥 👉Novel paper by #META on detection & instance segmentation without human annotations 😎Review https://bit.ly/3DlFiUG 😎Paper arxiv.org/pdf/2301.11320.pdf 😎Code github.com/facebookresearch/CutLER 😎Project people.eecs.berkeley.edu/~xdwang/projects/CutLER

🐕 MAV3D: #3D Video from Text 🐕 👉#META unveils a novel #AI for generating #3D dynamic videos from text 😎Review https://bit.ly/3WPRAvK 😎Paper arxiv.org/pdf/2301.11280.pdf 😎Project make-a-video3d.github.io

🧠 SERENA: LLM for Mental Health Support 🧠 👉Interactive #AI (in "#chatgpt" style) designed for mental health counseling 😎R
🧠 SERENA: LLM for Mental Health Support 🧠 👉Interactive #AI (in "#chatgpt" style) designed for mental health counseling 😎Review https://bit.ly/3wtbW37 😎Paper arxiv.org/pdf/2301.09412.pdf 😎Project https://serena.chat/

🧠 SERENA: LLM for Mental Health Support 🧠 👉Interactive #AI (in "#chatgpt" style) designed for mental health counseling 😎Review https://bit.ly/3wtbW37 😎Paper arxiv.org/pdf/2301.09412.pdf 😎Project https://serena.chat/

♿ Detecting Vulnerable Pedestrian ♿ 👉 BGSU opens a novel pedestrian dataset for vulnerable people 😎Review https://bit.ly/3JjVmu2 😎Paper arxiv.org/pdf/2212.06218.pdf 😎Project github.com/devvansh1997/BGVP

🔥 Neural Tracking via Weighted OF 🔥 👉The new SOTA in planar neural tracking is out. INSANE! 😎Review https://bit.ly/404gcDs 😎Paper arxiv.org/pdf/2301.10057.pdf 😎Code github.com/serycjon/WOFT 😎Project cmp.felk.cvut.cz/~serycjon/WOFT

🪀 NeRF in Time, Space and Appearance 🪀 👉From Berkeley k-planes: a white-box model for radiance fields in arbitrary dimensions 😎Review https://bit.ly/3J8GiiS 😎Paper arxiv.org/pdf/2301.10241.pdf 😎Project sarafridov.github.io/K-Planes/ 😎Code github.com/sarafridov/K-Planes

⚡StyleGAN-T: unlocking the Power of GANs⚡ 👉#Nvidia (+Tubingen) unveils StyleGAN-T to regain competitiveness to GANs vs. Diffusive Models 😎Review https://bit.ly/3HtKxEA 😎Paper arxiv.org/pdf/2301.09515.pdf 😎Project sites.google.com/view/stylegan-t 😎Code github.com/autonomousvision/stylegan-t

🍄 BTS: Density Fields from Single View 🍄 👉Volumetric scene representation from a single image in challenging conditions 😎Review https://bit.ly/3wjHDvH 😎Paper arxiv.org/pdf/2301.07668.pdf 😎Project fwmb.github.io/bts/

👑 OnePose++: One-Shot Pose 👑 👉Open-source (insane) keypoint-free pose pipeline for #AR 😎Review https://bit.ly/3kF0BdG 😎Paper arxiv.org/pdf/2301.07673.pdf 😎Project zju3dv.github.io/onepose_plus_plus 😎Code github.com/zju3dv/OnePose_Plus_Plus 😎Dataset zjueducn-my.sharepoint.com/personal/12121064_zju_edu_cn/_layouts/15/onedrive.aspx

🏞OmniObject3D: Realistic 3D Dataset 🏞 👉Large-vocabulary #3D dataset for realistic perception, reconstruction & generation 😎Review https://bit.ly/3HlXyjp 😎Paper arxiv.org/pdf/2301.07525.pdf 😎Project omniobject3d.github.io/

🎨 RecolorNeRF: #3D Color Editing 🎨 👉INSANE palette-based color editing of NeRF scenes 😎Review https://bit.ly/3GYjhfR 😎Paper arxiv.org/pdf/2301.07958.pdf 😎Project sites.google.com/view/recolornerf