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
Show more📈 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 17 261 subscribers, ranking 7 543 in the Technologies & Applications category and 2 144 in the Malaysia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 261 subscribers.
According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 250 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 17.43%. Within the first 24 hours after publication, content typically collects 7.04% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 008 views. Within the first day, a publication typically gains 1 216 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 16.
- 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 27 October, 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.
17 261
Subscribers
+124 hours
+97 days
+25030 days
Posts Archive
🌻 Extending Mona Lisa with AI 🌻
👉 A guy on Reddit extends Mona Lisa Painting with #Photoshop AI. The result is surprising.
😎More https://t.ly/j_2r
🦜 ColorDiffuser: Text-to-Video Colorization 🦜
👉HK University unveils ColorDiffuser: adapting pre-trained text-to-image latent diffusion model for video colorization
😎Report https://t.ly/XGv_
😎Paper arxiv.org/pdf/2306.01732.pdf
😎Project colordiffuser.github.io/
😎Code github.com/ColorDiffuser/ColorDiffuser
🗽 Neuralangelo Digital Twins. INSANE🗽
👉 A novel framework from #Nvidia for Hi-Fi 3D Digital twins.
😎Report https://t.ly/XGv_
😎Paper research.nvidia.com/labs/dir/neuralangelo/paper.pdf
😎Project research.nvidia.com/labs/dir/neuralangelo
🎗️ 4D Humans with Transformers 🎗️
👉Novel approach to reconstruct and track humans (even in unusual poses)
😎Report https://t.ly/XGv_
😎Paper arxiv.org/pdf/2305.20091.pdf
😎Project shubham-goel.github.io/4dhumans/#
😎Code github.com/shubham-goel/4D-Humans
🦁 Open Semantic Segmentation 🦁
👉SSSegmentation: open source supervised semantic segmentation toolbox based on #PyTorch
😎Review https://t.ly/ZE9q
😎Paper arxiv.org/pdf/2305.17091.pdf
😎Code github.com/SegmentationBLWX/sssegmentation
🌊 Neural Dynamic Image-Based Rendering 🌊
👉 DynIBaR: synthesizing novel views from monocular video depicting a complex dynamic scene.
😎Review https://t.ly/90Kw
😎Paper arxiv.org/pdf/2211.11082.pdf
😎Project https://dynibar.github.io/
😎Code github.com/google/dynibar
🍶 AVOS via Multiscale Encoder-Decoder ViT 🍶
👉 MED-VT, world's first Multiscale Encoder Decoder Video Transformer for AVOS
😎Review https://bit.ly/3MohFi1
😎Paper arxiv.org/pdf/2304.05930.pdf
😎Project rkyuca.github.io/medvt
😎Code github.com/rkyuca/medvt
🗺️ AI-generated stereotypical men in [Country] 🗺️
👉A thread about generating stereotypical person from 15 countries all around the world. And yes, Italian love Pizza.
😎 More https://bit.ly/3oo0t4c
🀄 Drag-GAN: user-friendly image-manipulation 🀄
👉 Manual deforming of (real and generated) images over pose, shape, expression and layout.
😎Review https://bit.ly/3BFyXlR
😎Paper arxiv.org/pdf/2305.10973.pdf
😎Project vcai.mpi-inf.mpg.de/projects/DragGAN
😎Code github.com/XingangPan/DragGAN
🎫 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
👚 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
🪰 #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
🍿 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
🛸 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
🦕 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
🐊 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
🦒 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
🌱 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
🔥 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
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
