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 235 Tecnologías y Aplicaciones7 702...

📈 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 17 137 suscriptores, ocupando la posición 7 702 en la categoría Tecnologías y Aplicaciones y el puesto 2 235 en la región Malasia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 17 137 suscriptores.

Según los últimos datos del 24 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -197, y en las últimas 24 horas de -7, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 25.73%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 6.87% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 4 411 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 25 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.

17 137

Suscriptores

-724 horas

-427 días

-19730 días

4 411

Visitas de la publicación

~ 1 17724 horas

~ 1 35348 horas

25.73%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

17 137

🎫 100% Mask-Free VIS 🎫 👉ETH Z unveils MaskFreeVIS: novel high-performing VIS without any mask annotations. 😎Review https://bit.ly/3Wg7CQB 😎Paper arxiv.org/pdf/2303.15904.pdf 😎Project www.vis.xyz/pub/maskfreevis/ 😎Code github.com/SysCV/maskfreevis

17 137

👚 Multi-Layered 3D Garments Animation 👚 👉S-Lab unveils LayersNet: animating multi-layered garments driven by various external forces, such as human bodies & wind 😎Review https://bit.ly/435b42F 😎Paper arxiv.org/pdf/2305.10418.pdf 😎Project mmlab-ntu.github.io/project/layersnet

17 137

🪰 #3D Auto-Reconstruction 🪰 👉AutoRecon: automated discovery & reconstruction of objects from multi-view pics. 😎Review https://bit.ly/3MxI0f4 😎Paper arxiv.org/pdf/2305.08810.pdf 😎Project zju3dv.github.io/autorecon/ 😎Code github.com/zju3dv/AutoRecon

17 137

🍿 De-Aging Harrison Ford via SD 🍿 👉Stable Diffusion Deepfake for Hollywood: a preview of the next autotune of the entertainment industry. A Reddit discussion👇 😎 More: https://bit.ly/41EzaQK

17 137

🛸 Virtual Occlusions in #AR 🛸 👉Niantic (#pokemongo) on a novel approach for virtual assets to appear ‘sitting among’ the real world objects 😎Review https://bit.ly/3o04wn6 😎Paper arxiv.org/pdf/2305.07014.pdf 😎Project nianticlabs.github.io/implicit-depth 😎Code github.com/nianticlabs/implicit-depth

17 137

🦕 HACMan: 6D Non-Prehensile Manipulation 🦕 👉#META (+CMU) unveils HACMan, novel 6D non-prehensile manipulation of objects 😎Review https://bit.ly/3NP1jl1 😎Paper arxiv.org/pdf/2305.03942.pdf 😎Project hacman-2023.github.io

17 137

🐊 RelPose++: SOTA 6D from 2-8 pics 🐊 👉CMU unveils a novel neural method for 6D camera poses from only 2-8 images 😎Review https://bit.ly/42ioJ6K 😎Paper arxiv.org/pdf/2305.04926.pdf 😎Project amyxlase.github.io/relpose-plus-plus 😎Code github.com/amyxlase/relpose-plus-plus

17 137

🦒 Look mom, I'm a giraffe 🦒 👉 A patent to transpose adversarial patches onto a knitted fabric. Be undetectable or associated with incorrect category such as "animal" (giraffe, zebra, etc) 😎 More: https://www.linkedin.com/posts/visionarynet_artificialintelligence-machinelearning-ml-activity-7059835420628369408-lJOs

17 137

🌱 Segment Everything Everywhere 🌱 👉 Segmenting everything using visual/language prompts (BBs, scribbles, text & audio) 😎Review https://bit.ly/3LEiOmx 😎Paper arxiv.org/pdf/2304.06718.pdf 😎Demo huggingface.co/spaces/xdecoder/SEEM 😎Code github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once

17 137

🔥 Track Anything: SAM-powered tracking 🔥 👉 SUSTech VIP Lab proposes TAM, a "novel" video tracker powered by SAM 😎Review https://bit.ly/44jwI4W 😎Paper arxiv.org/pdf/2304.11968.pdf 😎Code github.com/gaomingqi/Track-Anything

17 137

Hi Everybody, right now I'm flying to NY for a business trip! 👉 Is there anyone is studying/working @NYU? I'd be super excited to see the campus and (eventually) attend to a few lessons about AI/CV/MATH on Monday (or this Friday) Send me a DM -> @argovision

17 137

🪅Inpaint Anything: Segmentation + Inpainting 🪅 👉Remove / Fill /Replace anything (also via prompt). "Inpainting Anything", a new paradigm of “clicking & filling" 😎Review https://bit.ly/43JNREE 😎Paper arxiv.org/pdf/2304.06790.pdf 😎Code github.com/geekyutao/Inpaint-Anything

17 137

🌻 DDS: diffusive text-based image editing 🌻 👉Google unveils a novel text-based image editing for modifications of an input image towards a text description. 😎Review https://bit.ly/3L52UBl 😎Paper arxiv.org/pdf/2304.07090.pdf 😎Project delta-denoising-score.github.io

17 137

🪬 META's Animated Drawings is out! 🪬 👉#META unveils an easy-to-use method for animating human-like figures drawn by children. 😎Review https://bit.ly/3mGeQQv 😎Paper arxiv.org/pdf/2303.12741.pdf 😎Project fairanimateddrawings.com/site/home 😎Dataset (coming) https://fairanimateddrawings.com/site/dataset 😎Code https://github.com/facebookresearch/AnimatedDrawings#amateur-drawings-dataset

17 137

🔥 ALERT: Stable Diffusion XL just launched! 🔥 👉SDXL the new generative AI by Stability.AI for images from text. Up to 1024x1024 resolution, for free. 😎More https://bit.ly/41wrh0j

17 137

🥦 Zip-NeRF: the Anti-Aliasing NeRF 🥦 👉#Google unveils a novel version of NeRF able to fix the aliasing problem being 22x faster in training than SOTA. 😎Review https://bit.ly/3L1hZ6M 😎Paper arxiv.org/pdf/2304.06706.pdf 😎Project https://jonbarron.info/zipnerf

17 137

👗DreamPose: Fashion I-2-V Diffusion👗 👉 Turning fashion photos into realistic videos via driving pose sequence 😎Review https://bit.ly/3AdNtAN 😎Paper arxiv.org/pdf/2304.06025.pdf 😎Code github.com/johannakarras/DreamPose 😎Project grail.cs.washington.edu/projects/dreampose

17 137

💦SegGPT: Segmenting Everything (In Context)💦 👉BAAI unveils SegGPT, a generalist model for segmenting everything in context 😎Review https://bit.ly/3zFkUf2 😎Paper arxiv.org/pdf/2304.03284.pdf 😎Code github.com/baaivision/Painter 😎Demo huggingface.co/spaces/BAAI/SegGPT

17 137

🔥 "Segmenting Anything". CRAZY! 🔥 👉#Google unveils a novel model and (1B+) dataset for neural segmentation 🤯 😎Review https://bit.ly/3ZFhjrX 😎Paper https://bit.ly/43788DC 😎Project https://segment-anything.com 😎Code github.com/facebookresearch/segment-anything

17 137

🔥 "Segmenting Anything". CRAZY! 🔥 👉#Google unveils a novel model and (1B+) dataset for neural segmentation 🤯 😎Paper https://bit.ly/43788DC 😎Project https://segment-anything.com/ 😎Code github.com/facebookresearch/segment-anything