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 240 Technologies & Applications7 726...

📈 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 17 154 subscribers, ranking 7 726 in the Technologies & Applications category and 2 240 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 154 subscribers.

According to the latest data from 21 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -166 over the last 30 days and by -6 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 23.63%. Within the first 24 hours after publication, content typically collects 6.86% reactions from the total number of subscribers.
Post reach: On average, each post receives 4 057 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 22 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.

17 154

Subscribers

-624 hours

-277 days

-16630 days

4 057

Post views

~ 1 17724 hours

~ 1 35348 hours

23.63%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

17 154

🥎POKEFLEX: Soft Object Dataset🥎 👉PokeFlex from ETH is a dataset that includes 3D textured meshes, point clouds, RGB & depth maps of deformable objects. Pretrained models & dataset announced💙 👉Review https://t.ly/GXggP 👉Paper arxiv.org/pdf/2410.07688 👉Project https://lnkd.in/duv-jS7a 👉Repo

17 154

💡Diffusion Models Relighting💡 👉#Netflix unveils DifFRelight, a novel free-viewpoint facial relighting via diffusion model. Precise lighting control, high-fidelity relit facial images from flat-lit inputs. 👉Review https://t.ly/fliXU 👉Paper arxiv.org/pdf/2410.08188 👉Project www.eyelinestudios.com/research/diffrelight.html

17 154

🥦Gaussian Splatting VTON🥦 👉GS-VTON is a novel image-prompted 3D-VTON which, by leveraging 3DGS as the 3D representation, enables the transfer of pre-trained knowledge from 2D VTON models to 3D while improving cross-view consistency. Code announced💙 👉Review https://t.ly/sTPbW 👉Paper arxiv.org/pdf/2410.05259 👉Project yukangcao.github.io/GS-VTON/ 👉Repo github.com/yukangcao/GS-VTON

17 154

🐏 EFM3D: 3D Ego-Foundation 🐏 👉#META presents EFM3D, the first benchmark for 3D object detection and surface regression on HQ annotated egocentric data of Project Aria. Datasets & Code released💙 👉Review https://t.ly/cDJv6 👉Paper arxiv.org/pdf/2406.10224 👉Project www.projectaria.com/datasets/aeo/ 👉Repo github.com/facebookresearch/efm3d

17 154

🔥 "Deep Gen-AI" Full Course 🔥 👉A fresh course from Stanford about the probabilistic foundations and algorithms for deep generative models. A novel overview about the evolution of the genAI in #computervision, language and more... 👉Review https://t.ly/ylBxq 👉Course https://lnkd.in/dMKH9gNe 👉Lectures https://lnkd.in/d_uwDvT6

17 154

🛳️ EVER Ellipsoid Rendering 🛳️ 👉UCSD & Google present EVER, a novel method for real-time differentiable emission-only volume rendering. Unlike 3DGS it does not suffer from popping artifacts and view dependent density, achieving ∼30 FPS at 720p on #NVIDIA RTX4090. 👉Review https://t.ly/zAfGU 👉Paper arxiv.org/pdf/2410.01804 👉Project half-potato.gitlab.io/posts/ever/

17 154

🦴 One-Image Object Detection 🦴 👉Delft University (+Hensoldt Optronics) introduces OSSA, a novel unsupervised domain adaptation method for object detection that utilizes a single, unlabeled target image to approximate the target domain style. Code released💙 👉Review https://t.ly/-li2G 👉Paper arxiv.org/pdf/2410.00900 👉Code github.com/RobinGerster7/OSSA

17 154

🍇SPARK: Real-time Face Capture🍇 👉Technicolor Group unveils SPARK, a novel high-precision 3D face capture via collection of unconstrained videos of a subject as prior information. New SOTA able to handle unseen pose, expression and lighting. Impressive results. Code & Model announced💙 👉Review https://t.ly/rZOgp 👉Paper arxiv.org/pdf/2409.07984 👉Project kelianb.github.io/SPARK/ 👉Repo github.com/KelianB/SPARK/

17 154

👩‍🦰 SOTA Gaussian Haircut 👩‍🦰 👉ETH et. al unveils Gaussian Haircut, the new SOTA in hair reconstruction via dual representation (classic + 3D Gaussian). Code and Model announced💙 👉Review https://t.ly/aiOjq 👉Paper arxiv.org/pdf/2409.14778 👉Project https://lnkd.in/dFRm2ycb 👉Repo https://lnkd.in/d5NWNkb5

17 154

🌾 New SOTA Edge Detection 🌾 👉CUP (+ ESPOCH) unveils the new SOTA for Edge Detection (NBED); superior performance consistently across multiple benchmarks, even compared with huge computational cost and complex training models. Source Code released💙 👉Review https://t.ly/zUMcS 👉Paper arxiv.org/pdf/2409.14976 👉Code github.com/Li-yachuan/NBED

17 154

🩰 Dressed Humans in the wild 🩰 👉ETH (+ #Microsoft ) ReLoo: novel 3D-HQ reconstruction of humans dressed in loose garments from mono in-the-wild clips. No prior assumptions about the garments. Source Code announced, coming 💙 👉Review https://t.ly/evgmN 👉Paper arxiv.org/pdf/2409.15269 👉Project moygcc.github.io/ReLoo/ 👉Code github.com/eth-ait/ReLoo

17 154

🎢 Robo-quadruped Parkour🎢 👉LAAS-CNRS unveils a novel RL approach to perform agile skills that are reminiscent of parkour, such as walking, climbing high steps, leaping over gaps, and crawling under obstacles. Data and Code available💙 👉Review https://t.ly/-6VRm 👉Paper arxiv.org/pdf/2409.13678 👉Project gepetto.github.io/SoloParkour/ 👉Code github.com/Gepetto/SoloParkour

17 154

🌏 JoyHallo: Mandarin Digital Human 🌏 👉JD Health faced the challenges of audio-driven video generation in Mandarin, a task complicated by the language’s intricate lip movements and the scarcity of HQ datasets. Impressive results (-> audio ON). Code Models available💙 👉Review https://t.ly/5NGDh 👉Paper arxiv.org/pdf/2409.13268 👉Project jdh-algo.github.io/JoyHallo/ 👉Code github.com/jdh-algo/JoyHallo

17 154

🌏 JoyHallo: Mandarin Digital Human 🌏 👉JD Health faced the challenges of audio-driven video generation in Mandarin, a task complicated by the language’s intricate lip movements and the scarcity of HQ datasets. Impressive results (-> audio ON). Code Models available💙 👉Review 👉Paper arxiv.org/pdf/2409.13268 👉Project jdh-algo.github.io/JoyHallo/ 👉Code github.com/jdh-algo/JoyHallo

17 154

⚽ SoccerNet 2024 Results ⚽ 👉SoccerNet is the annual video understanding challenge for football. These challenges aim to advance research across multiple themes in football. The 2024 results are out! 👉Review https://t.ly/DUPgx 👉Paper arxiv.org/pdf/2409.10587 👉Repo github.com/SoccerNet 👉Project www.soccer-net.org/

17 154

🧸Motion Instruction Fine-Tuning🧸 👉MotIF is a novel method that fine-tunes pre-trained VLMs to equip the capability to distinguish nuanced robotic motions with different shapes and semantic groundings. A work by MIT, Stanford, and CMU. Source Code announced, coming💙 👉Review https://t.ly/iJ2UY 👉Paper https://arxiv.org/pdf/2409.10683 👉Project https://motif-1k.github.io/ 👉Code coming

17 154

🌭Hand-Object interaction Pretraining🌭 👉Berkeley unveils HOP, a novel approach to learn general robot manipulation priors from 3D hand-object interaction trajectories. 👉Review https://t.ly/FLqvJ 👉Paper https://arxiv.org/pdf/2409.08273 👉Project https://hgaurav2k.github.io/hop/

17 154

💄Interactive Drag-based Editing💄 👉CSE unveils InstantDrag: novel pipeline designed to enhance editing interactivity and speed, taking only an image and a drag instruction as input. Source Code announced, coming💙 👉Review https://t.ly/hy6SL 👉Paper arxiv.org/pdf/2409.08857 👉Project joonghyuk.com/instantdrag-web/ 👉Code github.com/alex4727/InstantDrag

17 154

🫒 Omni Urban Scene Reconstruction 🫒 👉OmniRe is novel holistic approach for efficiently reconstructing HD dynamic urban scenes from on-device logs. It's able to create the simulation of reconstructed scenarios with actors in real-time (~60 Hz). Code released💙 👉Review https://t.ly/SXVPa 👉Paper arxiv.org/pdf/2408.16760 👉Project ziyc.github.io/omnire/ 👉Code github.com/ziyc/drivestudio

17 154

🐺 Diffusion Game Engine 🐺 👉#Google unveils GameNGen: the first game engine powered entirely by a neural #AI that enables real-time interaction with a complex environment over long trajectories at HQ. No code announced but I love it 💙 👉Review https://t.ly/_WR5z 👉Paper https://lnkd.in/dZqgiqb9 👉Project https://lnkd.in/dJUd2Fr6