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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
Больше📈 Аналитический обзор Telegram-канала AI with Papers - Artificial Intelligence & Deep Learning
Канал AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 17 151 подписчиков, занимая 7 726 место в категории Технологии и приложения и 2 240 место в регионе Малайзия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 17 151 подписчиков.
Согласно последним данным от 21 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -166, а за последние 24 часа — -6, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 23.63%. В первые 24 часа после публикации контент обычно набирает 6.86% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 4 057 просмотров. В течение первых суток публикация набирает 1 177 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 26.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как framework, object, dataset, tba, depth.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”
Благодаря высокой частоте обновлений (последние данные получены 22 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
17 151
Подписчики
-624 часа
-277 дней
-16630 день
Архив постов
↘️ 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/
🥓 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
🍋 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
🧠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
🐙 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
🌋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
🦩 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/
👢"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/
🫧 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
🧪 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 :(
🔥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
🎭 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 🩷
🔥 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
😻 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
👽 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
🦠 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
🫒 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
🔥🔥 Code is out 🔥🔥
Check the comments for the links ;)
💃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
💥 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
