AI with Papers - Artificial Intelligence & Deep Learning
前往频道在 Telegram
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
显示更多📈 Telegram 频道 AI with Papers - Artificial Intelligence & Deep Learning 的分析概览
频道 AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 17 263 名订阅者，在 技术与应用 类别中位列第 7 540，并在 马来西亚 地区排名第 2 147 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 17 263 名订阅者。
根据 28 十月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 229，过去 24 小时变化为 1，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 17.18%。内容发布后 24 小时内通常能获得 7.02% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 965 次浏览，首日通常累积 1 211 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 15。
- 主题关注点： 内容集中在 framework, object, dataset, tba, depth 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“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”
凭借高频更新（最新数据采集于 29 十月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
17 263
订阅者
+124 小时
+17 天
+22930 天
帖子存档
🎆 One-Shot Video Generation 🎆
👉Tune-A-Video: One-Shot Video Generation with no training pain!
😎Review https://bit.ly/3hX47il
😎Paper arxiv.org/pdf/2212.11565.pdf
😎Project https://tuneavideo.github.io/
😎Code github.com/showlab/Tune-A-Video
☃️ Neural Smooth Video Composition ☃️
👉The novel SOTA in neural video composition. From a few frames to infinite!
😎Review https://bit.ly/3hRyaIe
😎Code github.com/genforce/StyleSV
😎Paper arxiv.org/pdf/2212.07413.pdf
😎Project genforce.github.io/StyleSV/
❄️ ClimateNeRF: Extreme Climate NeRF ❄️
👉NeRF/based Realistic climate change simulations for disaster forecasting
😎Review https://bit.ly/3vhqdz6
😎Paper arxiv.org/pdf/2211.13226.pdf
😎Project https://climatenerf.github.io
🐬 DeepLSD: Neural Lines Detector 🐬
👉 DeepLSD: novel neural line detector in the wild. Paper, Code, and Models available
😎
😎Paper arxiv.org/pdf/2212.07766.pdf
😎Code github.com/cvg/deeplsd
🥑 InstantAvatar: Avatar in 60 Sec. 🥑
👉Avatars from monocular video in ONE minute (130x faster than SOTA)
😎Review https://bit.ly/3PNw1tJ
😎Paper arxiv.org/pdf/2212.10550.pdf
😎Project tijiang13.github.io/InstantAvatar
🤯 Point·E: the "DALL·E" of 3D points cloud 🤯
👉OpenAI opens Point·E: the "evolution" of DALL·E in the #3D point cloud domain
😎Review https://bit.ly/3I87PR9
😎Code github.com/openai/point-e
😎Paper arxiv.org/pdf/2212.08751.pdf
🔥#AIwithPapers: we are ~5,500!🔥
👉 I see you: everyone hot for #CHATGPT. But Computer Vision still loves you. We miss you all, don't break up with us 🧡
😈 Forward this post!
😈 Let's talk -> https://bit.ly/3v389IT
😈 Invite friends -> https://t.me/AI_DeepLearning
🥻 Neural Cloth Simulation 🥻
👉The most advanced #AI for unsupervised garment animation
😎Review https://bit.ly/3WadOZR
😎Project hbertiche.github.io/NeuralClothSim/
😎Paper
dl.acm.org/doi/pdf/10.1145/3550454.3555491
😎Code
https://github.com/hbertiche/NeuralClothSim
🪴 Rodin: 3D Avatars Using Diffusion 🪴
👉#Microsoft unveils a novel #3D diffusion for digital avatars as NeRF
😎Review https://bit.ly/3jcxeOX
😎Project 3d-avatar-diffusion.microsoft.com
😎Paper arxiv.org/pdf/2212.06135.pdf
🎸 RIFFUSION: #AI that sounds!🎸
👉RIFFUSION: real-time music generation via spectrograms created with #stablediffusion
😎Review https://bit.ly/3GcOtcd
😎Project www.riffusion.com/about
😎App https://www.riffusion.com/
😎Code github.com/riffusion/riffusion-inference
😎Model huggingface.co/riffusion/riffusion-model-v1
🏜Insane Neural Asset by #META 🏜
👉DiffRF: novel 3D radiance field synthesis based on denoising diffusion
😎Review https://bit.ly/3V5Daqo
😎Project sirwyver.github.io/DiffRF/
😎Paper arxiv.org/pdf/2212.01206.pdf
🔥🔥 MODEL UPDATE 🔥🔥
👉 New PIPs checkpoint released with 4x larger batch size and better performance than the "old" #ECCV2022 paper.
👆 In the gif: tracking >5000 points on a camel (1.5s on #Nvidia RTX 3090)
🖼️ PV3D: Generative Portrait Video 🖼️
👉 PV3D: first generative #AI for multi-view consistent portrait videos
😎Review https://bit.ly/3W5l5dn
😎Project showlab.github.io/pv3d/
😎Paper arxiv.org/pdf/2212.06384.pdf
🔥 DRAMA of the week: ARTISTS vs. #AI ART 🔥
👉Generative AI is changing forever (again) how we create images, video and music. Progress brings conflict.
Let's talk: https://bit.ly/3BHOUIN
🔍 DifFace: Super-Face Restoration 🔍
👉The new SOTA face restoration in severe-degradation photos
😎Review https://bit.ly/3YqCsXr
😎Paper arxiv.org/pdf/2212.06512.pdf
😎Code github.com/zsyOAOA/DifFace
🟥 3DHumanGAN: 3D Human GAN 🟥
👉 The first ever 3D-aware GAN for full-body humans is out!
😎Review https://bit.ly/3V07QJE
😎Paper arxiv.org/pdf/2212.07378.pdf
😎Code 3dhumangan.github.io/
😎Project github.com/3dhumangan/3DHumanGAN
☔ ECON: Explicit Clothed #Avatars ☔
👉ECON: high-fidelity 3D humans even in loose clothes and challenging poses
😎Review https://bit.ly/3W21Wsu
😎Paper arxiv.org/pdf/2212.07422.pdf
😎Project https://xiuyuliang.cn/econ/
😎Code https://github.com/YuliangXiu/ECON
🎯 MOTRv2: Tracking by Pretrained Model 🎯
👉MOTRv2: e2e multi-object tracking with pretrained detector
😎Review https://bit.ly/3UYzvdN
😎Paper arxiv.org/pdf/2211.09791.pdf
😎Code github.com/megvii-research/MOTRv2
🧲 MAGVIT: 250x Faster Transformer 🧲
👉MAGVIT: ONE model -> 10+ video synthesis tasks!
😎Review https://bit.ly/3FX2P09
😎Project magvit.cs.cmu.edu/
😎Paper arxiv.org/pdf/2212.05199.pdf
😎Code github.com/MAGVIT/magvit
🐲 Neural Rendering from Web Images 🐲
👉Snap opens the novel SOTA in neural rendering from online image collections
😎Review https://bit.ly/3VPOjwy
😎Project formyfamily.github.io/NeROIC/
😎Paper arxiv.org/pdf/2201.02533.pdf
😎Code github.com/snap-research/NeROIC
