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AI with Papers - Artificial Intelligence & Deep Learning

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

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📈 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
🗺️ S-NeRF: NeRF for Street Views 🗺️ 👉S-NeRF: novel view synthesis of streets & foreground moving vehicles jointly 😎Review https://bit.ly/3KZUN9w 😎Paper arxiv.org/pdf/2303.00749.pdf 😎Project ziyang-xie.github.io/s-nerf/ 😎Code (soon)

🗺️ S-NeRF: NeRF for Street Views 🗺️ 👉S-NeRF: novel view synthesis of streets & foreground moving vehicles jointly

🌸 3DGP: ImageNet in #3D 🌸 👉 Snap unveils 3DGP: a novel 3D generator with Generic Priors 😎Review https://bit.ly/3KWHUgG 😎Paper arxiv.org/pdf/2303.01416.pdf 😎Project snap-research.github.io/3dgp/ 😎Code github.com/snap-research/3dgp

🩻 Independent Tokens for 3D Human 🩻 👉Tencent open-sourcing a novel method to estimate #3D human pose and shape from monocular videos 😎Review https://bit.ly/3Zz0uiH 😎Paper arxiv.org/pdf/2303.00298.pdf 😎Code (soon) github.com/yangsenius/INT_HMR_Model 😎Project yangsenius.github.io/INT_HMR_Model/index.html

🛸 TAU: video traffic analytics via UAVs 🛸 👉 Prince Sultan University unveils TAU: AI-integrated video analytics framework from UAVs' POV 😎Review https://bit.ly/3EQIh8F 😎Paper arxiv.org/pdf/2303.00337.pdf 😎Project github.com/bilel-bj/TAU

👑 ControNet: Conditional Control of Diffusion 👑 👉Controlling Stable Diffusion via conditional inputs like edges, segmentation, keypoints, etc. Extra: a super-nice tutorial. 😎Review https://bit.ly/3YgjrWt 😎Paper arxiv.org/pdf/2302.05543.pdf 😎Code github.com/lllyasviel/ControlNet 😎Tutorial https://github.com/Mikubill/sd-webui-controlnet/discussions/204

🐇 SplineCam: Neural Decision Boundary 🐇 👉#META -> SplineCam: a step towards neural visualization / interpretability 😎Revi
🐇 SplineCam: Neural Decision Boundary 🐇 👉#META -> SplineCam: a step towards neural visualization / interpretability 😎Review https://bit.ly/3mgoOaH 😎Paper arxiv.org/pdf/2302.12828.pdf 😎Project imtiazhumayun.github.io/splinecam 😎Code github.com/AhmedImtiazPrio/SplineCAM

🏉 SLAHMR: 4D People from Clip in-the-Wild 🏉 👉UC-Berkeley unveils SLAHMR: novel method to reconstruct global human trajectories from videos 😎Review https://bit.ly/3SzTIaj 😎Paper arxiv.org/pdf/2302.12827.pdf 😎Project vye16.github.io/slahmr/ 😎Code github.com/vye16/slahmr

⚽️ Vid2Avatar: 3D Avatar from Videos ⚽️ 👉Vid2Avatar: detailed 3D avatar from monocular videos in the wild 😎Review https://bit.ly/3ISbceD 😎Paper arxiv.org/pdf/2302.11566.pdf 😎Project moygcc.github.io/vid2avatar 😎Code (soon) github.com/MoyGcc

🪞DisCO: Selfie Correction with 3D-GAN🪞 👉Snap (et al.) unveils a GAN-based method for correcting distortions in close-up faces 😎Review https://bit.ly/3StGGuX 😎Paper arxiv.org/pdf/2302.12253.pdf 😎Project https://portrait-disco.github.io

🪁 VoxFormer: 2D->#3D Voxel Transformer 🪁 👉#Nvidia VoxFormer: transformer for #3D volumetric semantics from 2D images 😎Paper arxiv.org/pdf/2302.12251.pdf 😎Code github.com/NVlabs/VoxFormer

🫳 Neural Relighting of Hands 🫴 👉#META unveil the first neural relighting for personalized hands in real-time under novel illumination 😎Review https://bit.ly/3SblmKC 😎Paper arxiv.org/pdf/2302.04866.pdf 😎Project sh8.io/#/relightable_hands

🏀 #NBA Mixed Reality is NUTS 🏀 👉The premiere of the streaming app of the #NBA is totally INSANE. A mix of #AI, CG and much
🏀 #NBA Mixed Reality is NUTS 🏀 👉The premiere of the streaming app of the #NBA is totally INSANE. A mix of #AI, CG and much more👇 🏀More: https://bit.ly/3IJ3uUp

🛡️ TPV: Tesla's O-Net competitor 🛡️ 👉From Beijing an open-source approach for vision-centric autonomous driving #3D perception 😎Review https://bit.ly/3lNvVYc 😎Paper arxiv.org/pdf/2302.07817.pdf 😎Code github.com/wzzheng/TPVFormer

🌶️ 3D-aware conditional generative AI 🌶️ 👉 Pix2Pix3D: 3D-aware conditional generative AI for controllable photorealistic synthesis 😎Review https://bit.ly/3I80MWS 😎Paper arxiv.org/pdf/2302.08509.pdf 😎Project www.cs.cmu.edu/~pix2pix3D 😎Code github.com/dunbar12138/pix2pix3D

🦩 One-Shot Face via LSs of StyleGAN2 🦩 👉 Novel video generation framework with edits, facial motions, deformations & identity 😎Review https://bit.ly/3xuChhF 😎Paper arxiv.org/pdf/2302.07848.pdf 😎Project trevineoorloff.github.io/FaceVideoReenactment_HybridLatents.io/

📬 DIVOTrack: crossview MOT dataset 📬 👉 DIVOTrack + CrossMOT: the ultimate solution for MOT in realistic scenario 😎Review https://bit.ly/3YSFZgL 😎Paper arxiv.org/pdf/2302.07676.pdf 😎Code github.com/shengyuhao/DIVOTrack

🦞 SOTA ALERT: YOWOv2 is out! 🦞 👉 The 2nd-gen of YOWO, real-time detection of spatio-temporal action 😎Review https://bit.ly/3IscY60 😎Paper arxiv.org/pdf/2302.06848v1.pdf 😎Code github.com/yjh0410/YOWOv2

🌅 Novel semantics-guided natural synthesis 🌅 👉Alibaba #AI unveils a novel semantics-guided view synthesis of natural scenes 😎Review https://bit.ly/4115MVJ 😎Paper arxiv.org/pdf/2302.07224.pdf 😎Project zju3dv.github.io/paintingnature

🌅 Novel semantics-guided natural synthesis 🌅 👉Alibaba #AI unveils a novel semantics-guided view synthesis of natural scenes