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AI with Papers - Artificial Intelligence & Deep Learning
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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
Show more📈 Analytical overview of Telegram channel AI with Papers - Artificial Intelligence & Deep Learning
Channel AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) in the English language segment is an active participant. Currently, the community unites 17 137 subscribers, ranking 7 702 in the Technologies & Applications category and 2 235 in the Malaysia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 137 subscribers.
According to the latest data from 24 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -197 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 25.73%. Within the first 24 hours after publication, content typically collects 6.87% reactions from the total number of subscribers.
- Post reach: On average, each post receives 4 411 views. Within the first day, a publication typically gains 1 177 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 26.
- Thematic interests: Content is focused on key topics such as framework, object, dataset, tba, depth.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“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”
Thanks to the high frequency of updates (latest data received on 25 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
17 137
Subscribers
-724 hours
-427 days
-19730 days
Posts Archive
🧠 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 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 (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://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
