ch
Feedback
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

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 17 137 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
🧠 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

🍀 NeRF2NeRF: 3D registration on NeRFs 🍀 👉A novel 3D registration that operates directly on NeRFs 😎Review https://bit.ly/3ZRgz4a 😎Paper arxiv.org/pdf/2211.01600.pdf 😎Code github.com/nerf2nerf 😎Project https://nerf2nerf.github.io/ 😎Dataset https://drive.google.com/drive/folders/1jNpwAv1T1ntjIHUMJ1wABePA2Z8_nRRQ

🧤 Handy: Hands "Pipeline" by #Shopify 🧤 👉Shopify open-sourced Handy: hand gestures via #metaquest headsets -> into #Blender 😎Review https://bit.ly/3Wpkpi2 😎Project github.com/Shopify/handy 😎Demo diegomacario.github.io/Hands-In-The-Web/public/index.html

🍊 GLIGEN: Grounded T2I Diffusion 🍊 👉The new (insane🤯) SOTA in zero-shot layout-to-image generation. Demo available! 😎Review https://bit.ly/3J0rnHw 😎Paper arxiv.org/pdf/2301.07093.pdf 😎Code github.com/gligen/GLIGEN 😎Demo dev.hliu.cc/gligen_mirror2/ 😎Project gligen.github.io/

🥫 Plug 'n' play self-checkout 🥫 👉#Google's new shelf-checking #AI: recognizing billions of products, even purchased/moved 😎Review https://bit.ly/3J58hQe 😎News https://cloud.google.com/blog/transform/nrf-2023-google-cloud-big-show-big-moment-hybrid-retail

🧪 YOLOv6 v3.0 is out! 🧪 👉Meituan open-sourced YOLOv6 v3.0: many novel enhancements on architecture & training scheme. New
🧪 YOLOv6 v3.0 is out! 🧪 👉Meituan open-sourced YOLOv6 v3.0: many novel enhancements on architecture & training scheme. New SOTA on COCO! 😎Review https://bit.ly/3wbj7wC 😎Paper arxiv.org/pdf/2301.05586.pdf 😎Code github.com/meituan/YOLOv6

🪷 Salient Object Detection by/for Impaired 🪷 👉A novel dataset using images taken by visually impaired people. Suitable for
🪷 Salient Object Detection by/for Impaired 🪷 👉A novel dataset using images taken by visually impaired people. Suitable for (big object/text) saliency detectors 😎Paper arxiv.org/pdf/2301.05323.pdf 😎Data vizwiz.org/tasks-and-datasets/salient-object-detection 😎Code vizwiz.org/wp-content/uploads/2023/01/sod_mask_example.txt

🏵️ Instant-NeRF Artists Gallery 🏵️ 👉A gallery of beautiful scenes powered by the #NVIDIA Instant-NeRF 😎Review https://bit.ly/3XxV9au 😎Gallery www.nvidia.com/en-us/research/ai-art-gallery/instant-nerf

📶 Dense Pose from WiFi 📶 👉AI able to map phase/amplitude of WiFi signals for humans sensing application 😎Review https://b
📶 Dense Pose from WiFi 📶 👉AI able to map phase/amplitude of WiFi signals for humans sensing application 😎Review https://bit.ly/3QDeFQC 😎Paper arxiv.org/pdf/2301.00250.pdf

🍏 MMEditing: SOTA toolbox for #AI 🍏 👉An open-source image/video editing toolbox based on #PyTorch. 😎Review https://bit.ly/3k4cmK8 😎Project github.com/open-mmlab/mmediting

👛 New Task in #AI: Domain Expansion 👛 👉#Adobe on augmenting the space a model can generate, without overriding its original behavior 😎Review https://bit.ly/3ZCtwPA 😎Paper arxiv.org/pdf/2301.05225.pdf 😎Project yotamnitzan.github.io/domain-expansion 😎Code github.com/adobe-research/domain-expansion