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
Ko'proq ko'rsatish📈 Telegram kanali AI with Papers - Artificial Intelligence & Deep Learning analitikasi
AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 17 261 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 7 543-o'rinni va Malayziya mintaqasida 2 144-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 17 261 obunachiga ega bo‘ldi.
26 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 250 ga, so‘nggi 24 soatda esa 1 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 17.43% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.04% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 3 008 marta ko‘riladi; birinchi sutkada odatda 1 216 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 16 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent framework, object, dataset, tba, depth kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 27 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
17 261
Obunachilar
+124 soatlar
+97 kun
+25030 kun
Postlar arxiv
🪅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
🌻 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
🪬 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
🔥 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
🥦 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
👗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
💦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
🔥 "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
🔥 "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
🦒SOTA ALERT: Synthetic 3D Cities 🦒
👉UrbanGIRAFFE: novel SOTA generator of photorealistic #3D-aware urban image with full controllability
😎Review https://bit.ly/42ZdX5Q
😎Paper arxiv.org/pdf/2303.14167.pdf
😎Project lv3d.github.io/urbanGIRAFFE
🛎 Neural 6-DoF Tracking + 3D Reconstruction 🛎
👉The novel SOTA for real-time 6-DoF tracking of unknown objects, while simultaneously performing neural 3D
😎Review https://bit.ly/3lHVoT2
😎Paper arxiv.org/pdf/2303.14158.pdf
😎Project bundlesdf.github.io/
📊 Neural vs. Old School ML 📊
✅ The choice of Deep Learning-based AI vs. traditional ML may depend on the specific application and problem being addressed.
👉 What's your favorite approach? Please vote: https://bit.ly/3LQU774
📊 Neural vs. Old School ML 📊
✅ The choice of Deep Learning-based AI vs. traditional ml may depend on the specific application and problem being addressed.
👉 What's your favorite approach? Please vote: https://bit.ly/3LQU774
🥦 ReBotNet: Neural Real-Time Enhancement 🥦
👉#Google unveils ReBotNet, novel real-time video enhancement for live video calls & streams
😎Review https://bit.ly/3z8oqhG
😎Paper arxiv.org/pdf/2303.13504.pdf
😎Project jeya-maria-jose.github.io/rebotnet-web
🪲Neural 4K Color Style Transfer🪲
👉#Adobe 4K color style transfer: no artifacts, low memory & super-speed!
😎Review https://bit.ly/3TNKtUE
😎Paper arxiv.org/pdf/2303.13511.pdf
😎Project zhkkke.github.io/NeuralPreset
😎Code github.com/ZHKKKe/NeuralPreset
😎Demo zhkkke.github.io/NeuralPreset/#/editor
🔥 Is ChatGPT (close to) an AGI? 🔥
👉According to Microsoft #ChatGPT is an early (yet still incomplete) version of an artificial general intelligence system. Math, coding, vision, medicine, law, psychology and more.
👉Flame here: https://bit.ly/3K3Q1XC 🤣
🌈 #3D Editing with Instructions 🌈
👉A novel method for editing NeRF scenes with text-instructions
😎Review https://bit.ly/3K3putM
😎Paper https://arxiv.org/pdf/2303.12789.pdf
😎Project https://instruct-nerf2nerf.github.io
🛌 CC3D: Layout-Conditioned 3D Generation 🛌
👉A novel step towards the realistic multi-object scene generation
😎Review https://bit.ly/3JXG0v3
😎Paper arxiv.org/pdf/2303.12074.pdf
😎Project sherwinbahmani.github.io/cc3d
😎Code github.com/sherwinbahmani/cc3d
📘 Free Book: Understanding Deep Learning 📘
👉From MIT Press, a fresh book for mastering the Deep Learning & #AI
😎Download https://bit.ly/3JUHMNv
💀 SDFStudio: Unified Surface Reconstruction 💀
👉A unified (and open) framework for neural implicit surface reconstruction
😎Review https://bit.ly/3yUvuP2
😎Project autonomousvision.github.io/sdfstudio
😎Code github.com/autonomousvision/sdfstudio
😎Doc github.com/autonomousvision/sdfstudio/blob/master/docs/sdfstudio-methods.md
