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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

Malaysia2 150 Technologies & Applications7 543...

📈 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 17 260 subscribers, ranking 7 543 in the Technologies & Applications category and 2 150 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 260 subscribers.

According to the latest data from 28 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 229 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 17.18%. Within the first 24 hours after publication, content typically collects 7.02% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 965 views. Within the first day, a publication typically gains 1 211 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
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 29 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.

17 260

Subscribers

+124 hours

+17 days

+22930 days

2 965

Post views

~ 1 21124 hours

~ 1 52548 hours

17.18%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

17 261

🟧 PlanT: Driving Plan w/ Transformer 🟧 👉PlanT: planning via transformer. Imitation learning with compact object-level representation 😎Review https://bit.ly/3Ni2MxN 😎Project www.katrinrenz.de/plant/ 😎Paper arxiv.org/pdf/2210.14222.pdf 😎Code github.com/autonomousvision/plant

17 261

🌨️Multi NeRF-supervised Depth-Pose🌨️ 👉NeRF-supervised disentanglement of depth/camera pose from large-scale clips 😎Review https://bit.ly/3gS4Z7e 😎Paper arxiv.org/pdf/2210.07181.pdf 😎Project oasisyang.github.io/self-mpinerf

17 261

🎸MUSIKA! Neural ∞-audio generation🎸 👉Novel neural music generation system on single consumer GPU! 😎Listen: https://bit.ly/3W80p4U 😎Paper arxiv.org/pdf/2208.08706.pdf 😎Code github.com/marcoppasini/musika

17 261

💓 Gesture Recognition in 80's 💓 👉The #Casio AT-550 was offering the edge gesture recognition in 1984! 😎Review https://bit.ly/3fcPia6 😎Clip: youtube.com/watch?v=piFaJmYpQfQ

17 261

📯Modeling the Human Pose Manifolds📯 👉#Meta Pose-NDF: continuous model for plausible human poses based on neural distance fields 😎Review https://bit.ly/3f6X59o 😎Paper arxiv.org/pdf/2207.13807.pdf 😎Project virtualhumans.mpi-inf.mpg.de/posendf 😎Code github.com/garvita-tiwari/PoseNDF

17 261

🛎️🛎️Autoregressive NeRF-Avatar🛎️🛎️ 👉AutoAvatar by #Meta: autoregressive method for modeling dynamically deforming human bodies from raw scans 😎Review https://bit.ly/3W0oTgo 😎Paper arxiv.org/pdf/2203.13817.pdf 😎Project zqbai-jeremy.github.io/autoavatar 😎Code github.com/facebookresearch/AutoAvatar

17 261

↕️SOTA Action Detector @90+ FPS!↕️ 👉YOWO-plus: real-time method for spatio-temporal action detection. YOWO-Nano the fastest! 😎Review https://bit.ly/3TUdhcI 😎Paper arxiv.org/pdf/2210.11219.pdf 😎Code github.com/yjh0410/PyTorch_YOWO

17 261

🤖JRBD: Egocentric Perception of Humans🤖 👉Stanford -> JRDB-Pose: Dataset with 600,000+ body pose annotations! 😎Review https://bit.ly/3gEZBE4 😎Paper arxiv.org/pdf/1910.11792.pdf 😎Project jrdb.erc.monash.edu/

17 261

🤯 Full-Body from head/hand signals 🤯 👉#Meta unveils AvatarPoser: first full-body pose method via user’s head/hands 😎Review https://bit.ly/3gESR9y 😎Paper arxiv.org/pdf/2207.13784.pdf 😎Code github.com/eth-siplab/AvatarPoser

17 261

🎨 UniColor: Unified Colorization 🎨 👉The first unified framework for colorization via stroke, exemplar, text, and a mix of them 😎Review https://bit.ly/3gESR9y 😎Paper arxiv.org/pdf/2209.11223.pdf 😎Project luckyhzt.github.io/unicolor 😎Code (SOON)

17 261

🔥New SOTA in Panoptic Segmentation🔥 👉#Google (with Hinton🤯) unveils Pix2Seq-D: novel generalist framework for panoptic segmentation 😎Review https://bit.ly/3DmpbGM 😎Paper arxiv.org/pdf/2210.06366.pdf

17 261

🦙LaMAR: Localization/Mapping for #AR🦙 👉A new benchmark for #AR in large and unconstrained scenes 😎Review https://bit.ly/3DjlnWU 😎Paper lamar.ethz.ch/files/LaMAR.pdf 😎Project https://lamar.ethz.ch/ 😎Code github.com/microsoft/lamar-benchmark

17 261

🪂 Parallel NeRF for 6-DoF pose 🪂 👉#Nvidia unveils a parallel NeRF for 6-DoF target pose estimation 😎Review https://bit.ly/3guWWwA 😎Paper arxiv.org/pdf/2210.10108.pdf 😎Project https://pnerfp.github.io/

17 261

🔥Meta Omni3D: code is out!🔥 👉Source Code, models, and data just released by #META ! 😎Review https://bit.ly/3MIWxD9 😎Paper arxiv.org/pdf/2207.10660.pdf 😎Project garrickbrazil.com/omni3d/ 😎Code github.com/facebookresearch/omni3d

17 261

🔥 Dressing Avatars by #META 🔥 👉Novel deep photorealistic appearance method for physically-simulated clothing in #metaverse 😎Review https://bit.ly/3yRBW9Y 😎Paper arxiv.org/pdf/2206.15470.pdf

17 261

⚽Markerless Body-Object Interaction⚽ 👉Novel whole-bodies/objects interaction method from multi-view RGB-D data 😎Review https://bit.ly/3yO56GY 😎Data intercap.is.tue.mpg.de/login.php 😎Project https://intercap.is.tue.mpg.de 😎Code github.com/YinghaoHuang91 😎Paper intercap.is.tue.mpg.de/media/upload/main.pdf

17 261

⛽ Stable Diffusion in #Blender ⛽ 👉Render with SuperPowers: novel scene render via text prompt 😎Review https://bit.ly/3s1mEeN 😎Code github.com/benrugg/AI-Render

17 261

🪲#6D estimation fully in the wild🪲 👉First ever self-supervised 6D pose estimation training in the wild 😎Review https://bit.ly/3yHdHuS 😎Paper arxiv.org/pdf/2210.07199.pdf 😎Project kywind.github.io/self-pose 😎Code (soon)

17 261

🧮 Novel DM for 3D Shapes by #Nvidia 🧮 👉Hierarchical Latent Point Diffusion Model (LION) for 3D shape generation 😎Review https://bit.ly/3yDhZ6I 😎Paper arxiv.org/pdf/2210.06978.pdf 😎Project https://nv-tlabs.github.io/LION/ 😎Code(soon) github.com/nv-tlabs/LION

17 261

🦑 Instant Map-free Relocalization 🦑 👉#Niantic unveils a novel instant, metric scaled re-localization with one single photo 😎Review https://bit.ly/3S1Gdyh 😎Paper arxiv.org/pdf/2210.05494.pdf 😎Project research.nianticlabs.com/mapfree-reloc-benchmark 😎Data research.nianticlabs.com/mapfree-reloc-benchmark/dataset