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

Malasia2 240 Tecnologías y Aplicaciones7 726...

📈 Análisis del canal de Telegram AI with Papers - Artificial Intelligence & Deep Learning

El canal AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 17 151 suscriptores, ocupando la posición 7 726 en la categoría Tecnologías y Aplicaciones y el puesto 2 240 en la región Malasia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 17 151 suscriptores.

Según los últimos datos del 21 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -166, y en las últimas 24 horas de -6, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 23.63%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.86% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 4 057 visualizaciones. En el primer día suele acumular 1 177 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 26.
Intereses temáticos: El contenido se centra en temas clave como framework, object, dataset, tba, depth.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 22 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

17 151

Suscriptores

-624 horas

-277 días

-16630 días

4 057

Visitas de la publicación

~ 1 17724 horas

~ 1 35348 horas

23.63%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

17 151

↘️ SEELE: "moving" the subjects ➡️ 👉Subject repositioning: manipulating an input image to reposition one of its subjects to a desired location while preserving the image’s fidelity. SEELE is a single diffusion model to address this novel generative sub-tasks 👉Review https://t.ly/4FS4H 👉Paper https://arxiv.org/pdf/2401.16861.pdf 👉Project https://yikai-wang.github.io/seele/

17 151

🥓 RANSAC -> PARSAC (neural) 🥓 👉Neural PARSAC: estimating multiple vanishing points (V), fundamental matrices (F) or homographies (H) at the speed of light! Source Code released 💙 👉Review https://t.ly/r9ngg 👉Paper https://lnkd.in/dadQ4Qec 👉Code https://lnkd.in/dYp6gADd

17 151

🍋 Diffutoon: new SOTA video 🍋 👉Diffutoon is a cartoon shading approach, aiming to transform photorealistic videos in anime styles. It can handle exceptionally high resolutions and rapid motions. Source code released! 👉Review https://t.ly/sim2O 👉Paper https://lnkd.in/dPcSnAUu 👉Code https://lnkd.in/d9B_dGrf 👉Project https://lnkd.in/dpcsJcX2

17 151

🧠350+ Free #AI Courses by #Google🧠 👉350+ free courses from #Google to become professional in #AI & #Cloud. The full catalog (900+) includes a variety of activity: videos, documents, labs, coding, and quizzes. 15+ supported languages. No excuse. ✅𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 ✅𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐋𝐋𝐌𝐬 ✅𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐓𝐅 ✅𝐁𝐚𝐬𝐞𝐥𝐢𝐧𝐞 𝐃𝐚𝐭𝐚, 𝐌𝐋, 𝐀𝐈 ✅𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐀𝐈 👉Review: https://t.ly/517Dr 👉Full list: https://www.cloudskillsboost.google/catalog?page=1

17 151

🐙 Rock-Track announced! 🐙 👉Key Lab of Robotics and System announced Rock-Track, the evolution of Poly-MOT, the previous SOTA in 3D MOT Tracking-By-Detection framework. 👉Review https://t.ly/hC0ak 👉Repo, coming: https://lnkd.in/dtDkPwCC 👉Paper coming

17 151

🌋EasyVolcap: Accelerating Neural Volumetric🌋 👉Novel #PyTorch library for accelerating neural volumetric video research: volumetric video capturing, reconstruction & rendering 👉Review https://t.ly/8BISl 👉Paper arxiv.org/pdf/2312.06575.pdf 👉Code github.com/zju3dv/EasyVolcap

17 151

🦩 WildRGB-D: Objects in the Wild 🦩 👉#NVIDIA unveils a novel RGB-D object dataset captured in the wild: ~8500 recorded objects, ~20,000 RGBD videos, 46 categories with corresponding masks and 3D point clouds. 👉Review https://t.ly/WCqVz 👉Data github.com/wildrgbd/wildrgbd 👉Paper arxiv.org/pdf/2401.12592.pdf 👉Project wildrgbd.github.io/

17 151

👢"Virtual Try-All" by #Amazon 👢 👉#Amazon announces ”Diffuse to Choose”: diffusion-based image-conditioned inpainting for VTON. Virtually place any e-commerce item in any setting. 👉Review https://t.ly/at07Y 👉Paper https://lnkd.in/dxR7nGtd 👉Project diffuse2choose.github.io/

17 151

🫧 SAM + Open-Models 🫧 👉Grounded SAM (w/ DINO) as an open-set detector to combine with SAM. This integration enables the detection and segmentation of any regions based on arbitrary text inputs and opens a door to connecting various vision models. It can seamlessly integrate with other Open-World models to accomplish more intricate visual tasks. 👉Review https://t.ly/FwasQ 👉Paper https://arxiv.org/pdf/2401.14159.pdf 👉Code https://github.com/IDEA-Research/Grounded-Segment-Anything

17 151

🧪 SUPIR: SOTA restoration 🧪 👉SUPIR is the new SOTA in image restoration; suitable for restoration of blurry objects, defining the material texture of objects, and adjusting restoration based on high-level semantics 👉Review https://t.ly/wgObH 👉Project https://lnkd.in/dPcnBKWm 👉Paper https://lnkd.in/dZPYcUuq 👉Demo coming 🩷 but no code announced :(

17 151

🔥Lumiere: SOTA video-gen🔥 👉#Google unveils Lumiere: Space-Time Diffusion Model for Realistic Video Generation. It's the new SOTA, tasks: Text-to-Video, Video Stylization, Cinemagraphs & Video Inpainting. 👉Review https://t.ly/nalJR 👉Paper https://lnkd.in/d-PvrGjT 👉Project https://t.ly/gK8hz

17 151

🎭 UltrAvatar: ULTRA-Realistic Avatar 🎭 👉Novel 3D avatar with enhanced fidelity of geometry, and superior quality of physically based rendering (PBR) textures without unwanted lighting. 👉Review https://t.ly/B3BEu 👉Project https://lnkd.in/dkUQHFEV 👉Paper https://lnkd.in/dtEQxrBu 👉Code coming 🩷

17 151

🔥 Depth Anything: the new SOTA 🔥 👉Depth Anything: the new SOTA in monocular depth estimation (MDE), trained with 1.5M labeled images and 62M+ unlabeled images jointly. It's the new SOTA! Authors: University of Hong Kong, #TikTok, Zhejiang Lab & Zhejiang University. Paper, project, code, models & HF-demo released! 👉Review https://t.ly/tCBwO 👉Paper https://lnkd.in/djx-9k2J 👉Project https://lnkd.in/dYetqZFa 👉Repo https://lnkd.in/d87CrUGv 👉Demo🤗 https://lnkd.in/dJhvKBep

17 151

😻 GARField: Group Anything 😻 👉 GARField is a novel approach for decomposing #3D scenes into a hierarchy of semantically meaningful groups from posed image inputs. 👉Review https://t.ly/6Hkeq 👉Paper https://lnkd.in/d28mfRcZ 👉Project https://lnkd.in/dzYdRNKy 👉Repo (coming) https://lnkd.in/d2VeRJCS

17 151

👽 One Model <-> All Segmentations 👽 👉 10+ different segmentation tasks in one framework, including image-level, video-level, interactive segmentation, & open-vocabulary segmentation. 👉Review https://t.ly/fywVz 👉Paper https://lnkd.in/dw3S4B74 👉Project https://lnkd.in/dzHT9v45 👉Repo https://lnkd.in/d6fDCnSp

17 151

🦠 XINC: Pixels to Neurons 🦠 👉eXplaining the Implicit Neural Canvas (XINC) from the University of Maryland, is a unified framework for explaining properties of INRs by examining the strength of each neuron’s contribution to each output pixel 👉Review https://t.ly/wwAmz 👉Paper arxiv.org/pdf/2401.10217.pdf 👉Project namithap10.github.io/xinc 👉Repo github.com/namithap10/xinc

17 151

🫒 AlphaGeometry: Olympiad-level AI 🫒 👉 Theorem prover for Euclidean plane geometry that sidesteps the need for human demonstrations by synthesizing millions of theorems and proofs across different levels of complexity 🤯 👉Review https://t.ly/2-Z7C 👉Paper https://lnkd.in/g3QkqwCE 👉Blog https://lnkd.in/ge-mpM7q 👉Repo https://lnkd.in/gHjwks_9

17 151

🔥🔥 Code is out 🔥🔥 Check the comments for the links ;)

17 151

💃Timeline Text-Driven Humans💃 👉Novel challenge: timeline control for text-driven motion synthesis of 3D Humans. 👉Review https://t.ly/HLm-N 👉Paper https://lnkd.in/esaR_M_9 👉Project https://lnkd.in/epCZDvFW 👉Repo coming

17 151

💥 Announcing #Py4Ai Conference💥 👉 Super proud to unveil #Py4AI, the newest conference dedicated to exploring the depths of Python & AI. Py4AI is a 1-day free event for Python and Artificial Intelligence developers. 𝐄𝐯𝐞𝐧𝐭 𝐃𝐞𝐭𝐚𝐢𝐥𝐬: ✅16th March 2024 (Saturday) - all day long! ✅Location: Pavia, at SEA Vision HQ ✅Seats: first 100 available now! ✅Live streaming: YES 🌍 ✅Cost: it's 100% FREE! We will investigate the latest trends, advancements, and challenges in Artificial Intelligence: NLP, MLOps, Computer Vision, Machine Learning & Generative AI! A scientific conference with international speakers. Only Science, Coding & professionals in AI. And beers, of course. 𝐓𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐛𝐚𝐭𝐜𝐡 𝐨𝐟 𝐬𝐩𝐞𝐚𝐤𝐞𝐫𝐬: 🚀Merve Noyan | ML Advocate Eng. Hugging Face 🤗 🚀Gabriele Lombardi | CTO ARGO Vision 🚀Amanda Cercas Curry | PostDoc. Università Bocconi 🚀Piero Savastano | Founder Cheshire Cat AI 🚀Francesco Zuppichini | Sr. ML engineer Zurich Insurance 🚀Andrea Palladino, PhD | Sr. Data Scientist 👉 More: https://www.linkedin.com/posts/visionarynet_py4ai-py4ai-python-activity-7152928716988243968-pOUn?utm_source=share&utm_medium=member_desktop