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 17 261 subscribers, ranking 7 543 in the Technologies & Applications category and 2 144 in the Malaysia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 261 subscribers.
According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 250 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 17.43%. Within the first 24 hours after publication, content typically collects 7.04% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 008 views. Within the first day, a publication typically gains 1 216 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 16.
- 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 27 October, 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.
17 261
Subscribers
+124 hours
+97 days
+25030 days
Posts Archive
🪅Inpaint Anything: Segmentation + Inpainting 🪅
👉Remove / Fill /Replace anything (also via prompt). "Inpainting Anything", a new paradigm of “clicking & filling"
😎Review https://bit.ly/43JNREE
😎Paper arxiv.org/pdf/2304.06790.pdf
😎Code github.com/geekyutao/Inpaint-Anything
🌻 DDS: diffusive text-based image editing 🌻
👉Google unveils a novel text-based image editing for modifications of an input image towards a text description.
😎Review https://bit.ly/3L52UBl
😎Paper arxiv.org/pdf/2304.07090.pdf
😎Project delta-denoising-score.github.io
🪬 META's Animated Drawings is out! 🪬
👉#META unveils an easy-to-use method for animating human-like figures drawn by children.
😎Review https://bit.ly/3mGeQQv
😎Paper arxiv.org/pdf/2303.12741.pdf
😎Project fairanimateddrawings.com/site/home
😎Dataset (coming) https://fairanimateddrawings.com/site/dataset
😎Code https://github.com/facebookresearch/AnimatedDrawings#amateur-drawings-dataset
🔥 ALERT: Stable Diffusion XL just launched! 🔥
👉SDXL the new generative AI by Stability.AI for images from text. Up to 1024x1024 resolution, for free.
😎More https://bit.ly/41wrh0j
🥦 Zip-NeRF: the Anti-Aliasing NeRF 🥦
👉#Google unveils a novel version of NeRF able to fix the aliasing problem being 22x faster in training than SOTA.
😎Review https://bit.ly/3L1hZ6M
😎Paper arxiv.org/pdf/2304.06706.pdf
😎Project https://jonbarron.info/zipnerf
👗DreamPose: Fashion I-2-V Diffusion👗
👉 Turning fashion photos into realistic videos via driving pose sequence
😎Review https://bit.ly/3AdNtAN
😎Paper arxiv.org/pdf/2304.06025.pdf
😎Code github.com/johannakarras/DreamPose
😎Project grail.cs.washington.edu/projects/dreampose
💦SegGPT: Segmenting Everything (In Context)💦
👉BAAI unveils SegGPT, a generalist model for segmenting everything in context
😎Review https://bit.ly/3zFkUf2
😎Paper arxiv.org/pdf/2304.03284.pdf
😎Code github.com/baaivision/Painter
😎Demo huggingface.co/spaces/BAAI/SegGPT
🔥 "Segmenting Anything". CRAZY! 🔥
👉#Google unveils a novel model and (1B+) dataset for neural segmentation 🤯
😎Review https://bit.ly/3ZFhjrX
😎Paper https://bit.ly/43788DC
😎Project https://segment-anything.com
😎Code github.com/facebookresearch/segment-anything
🔥 "Segmenting Anything". CRAZY! 🔥
👉#Google unveils a novel model and (1B+) dataset for neural segmentation 🤯
😎Paper https://bit.ly/43788DC
😎Project https://segment-anything.com/
😎Code github.com/facebookresearch/segment-anything
🦒SOTA ALERT: Synthetic 3D Cities 🦒
👉UrbanGIRAFFE: novel SOTA generator of photorealistic #3D-aware urban image with full controllability
😎Review https://bit.ly/42ZdX5Q
😎Paper arxiv.org/pdf/2303.14167.pdf
😎Project lv3d.github.io/urbanGIRAFFE
🛎 Neural 6-DoF Tracking + 3D Reconstruction 🛎
👉The novel SOTA for real-time 6-DoF tracking of unknown objects, while simultaneously performing neural 3D
😎Review https://bit.ly/3lHVoT2
😎Paper arxiv.org/pdf/2303.14158.pdf
😎Project bundlesdf.github.io/
📊 Neural vs. Old School ML 📊
✅ The choice of Deep Learning-based AI vs. traditional ML may depend on the specific application and problem being addressed.
👉 What's your favorite approach? Please vote: https://bit.ly/3LQU774
📊 Neural vs. Old School ML 📊
✅ The choice of Deep Learning-based AI vs. traditional ml may depend on the specific application and problem being addressed.
👉 What's your favorite approach? Please vote: https://bit.ly/3LQU774
🥦 ReBotNet: Neural Real-Time Enhancement 🥦
👉#Google unveils ReBotNet, novel real-time video enhancement for live video calls & streams
😎Review https://bit.ly/3z8oqhG
😎Paper arxiv.org/pdf/2303.13504.pdf
😎Project jeya-maria-jose.github.io/rebotnet-web
🪲Neural 4K Color Style Transfer🪲
👉#Adobe 4K color style transfer: no artifacts, low memory & super-speed!
😎Review https://bit.ly/3TNKtUE
😎Paper arxiv.org/pdf/2303.13511.pdf
😎Project zhkkke.github.io/NeuralPreset
😎Code github.com/ZHKKKe/NeuralPreset
😎Demo zhkkke.github.io/NeuralPreset/#/editor
🔥 Is ChatGPT (close to) an AGI? 🔥
👉According to Microsoft #ChatGPT is an early (yet still incomplete) version of an artificial general intelligence system. Math, coding, vision, medicine, law, psychology and more.
👉Flame here: https://bit.ly/3K3Q1XC 🤣
🌈 #3D Editing with Instructions 🌈
👉A novel method for editing NeRF scenes with text-instructions
😎Review https://bit.ly/3K3putM
😎Paper https://arxiv.org/pdf/2303.12789.pdf
😎Project https://instruct-nerf2nerf.github.io
🛌 CC3D: Layout-Conditioned 3D Generation 🛌
👉A novel step towards the realistic multi-object scene generation
😎Review https://bit.ly/3JXG0v3
😎Paper arxiv.org/pdf/2303.12074.pdf
😎Project sherwinbahmani.github.io/cc3d
😎Code github.com/sherwinbahmani/cc3d
📘 Free Book: Understanding Deep Learning 📘
👉From MIT Press, a fresh book for mastering the Deep Learning & #AI
😎Download https://bit.ly/3JUHMNv
💀 SDFStudio: Unified Surface Reconstruction 💀
👉A unified (and open) framework for neural implicit surface reconstruction
😎Review https://bit.ly/3yUvuP2
😎Project autonomousvision.github.io/sdfstudio
😎Code github.com/autonomousvision/sdfstudio
😎Doc github.com/autonomousvision/sdfstudio/blob/master/docs/sdfstudio-methods.md
