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PanoDreamer: 3D Panorama Synthesis from a Single Image
🔗 Discover More:
* Source code: Github
* Project Page: PanoDreamer
* Paper: Read the paper
* YouTube: Video Results
✅ https://t.me/deeplearning_ai
🔗 Discover More:
* Source code: Github
* Project Page: PanoDreamer
* Paper: Read the paper
* YouTube: Video Results
✅ https://t.me/deeplearning_ai
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Elevating Flow-Guided Video Inpainting with Reference Generation
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* Source code: Github
* Paper: Read the paper
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* Source code: Github
* Paper: Read the paper
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OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
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* Source code: Github
* Paper: Read the paper
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* Source code: Github
* Paper: Read the paper
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🔥 Shanghai AI Lab Introduces RTMW: Real-Time Multi-Person Whole-Body Pose Estimation 🔥
• Blazing Speed: 940+ FPS on GPU, 50–300+ FPS on CPU
• High-Performance Models: Supports 2D/3D whole-body pose estimation
• Cutting-Edge Architecture: Built upon RTMPose with FPN & HEM
• Wide Dataset Coverage: Manually aligned keypoints across 14 open datasets
• Extensive Framework Support: ONNX, TensorRT, ncnn, and OpenVINO
• Open Source: Code and pre-trained models available
🔗 Discover More:
* Source code: Github
* Paper: Read the paper
✅ https://t.me/deeplearning_ai
• Blazing Speed: 940+ FPS on GPU, 50–300+ FPS on CPU
• High-Performance Models: Supports 2D/3D whole-body pose estimation
• Cutting-Edge Architecture: Built upon RTMPose with FPN & HEM
• Wide Dataset Coverage: Manually aligned keypoints across 14 open datasets
• Extensive Framework Support: ONNX, TensorRT, ncnn, and OpenVINO
• Open Source: Code and pre-trained models available
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* Source code: Github
* Paper: Read the paper
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⚽ FIFA World Cup 3D Human Pose Dataset ⚽
Discover WorldPose: a cutting-edge dataset for multi-person global pose estimation, featuring footage from the 2022 FIFA World Cup with 2.5M+ annotations!
Key Highlights:
✅ Authors: ETH, FIFA, Microsoft
✅ 150K+ frames, 2.5M+ 3D poses (SMPL format)
✅ Calibrated moving cameras & accurate trajectories
📄 Paper: arxiv.org/pdf/2501.02771
📊 Dataset: Access here
👉 Join our Telegram channel for AI/ML updates! LINK
Discover WorldPose: a cutting-edge dataset for multi-person global pose estimation, featuring footage from the 2022 FIFA World Cup with 2.5M+ annotations!
Key Highlights:
✅ Authors: ETH, FIFA, Microsoft
✅ 150K+ frames, 2.5M+ 3D poses (SMPL format)
✅ Calibrated moving cameras & accurate trajectories
📄 Paper: arxiv.org/pdf/2501.02771
📊 Dataset: Access here
👉 Join our Telegram channel for AI/ML updates! LINK
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🚀 The Future of Object Detection is Here!
🔍Achieve state-of-the-art results with just one line of code! 🔥
🎥 Live Demos & Code: GitHub Repo
📥 Pretrained Models: Ready for download—plug and play!
⭐️ Support innovation! Star the repo now 👉 GitHub Link
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🔍Achieve state-of-the-art results with just one line of code! 🔥
🎥 Live Demos & Code: GitHub Repo
📥 Pretrained Models: Ready for download—plug and play!
⭐️ Support innovation! Star the repo now 👉 GitHub Link
📢 Join our ML community: @DeepLearning_ai
#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
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🚀 Whisper AI is Now on Telegram! 🎙
Turn any audio, video, or YouTube content into accurate transcripts, concise summaries, and smart task executions—all powered by GPT-4o and Claude Sonnet!
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Turn any audio, video, or YouTube content into accurate transcripts, concise summaries, and smart task executions—all powered by GPT-4o and Claude Sonnet!
🌍 Supports 120+ languages
✅ 99% accuracy
⏱️ Processes up to 6+ hours of audio seamlessly
🔊 Say goodbye to manual transcription—Whisper AI does it for you!
👉 Try it now: [whisper]
🔥 WineWayLab – The FIRST Online Accelerator for WineTech Startups! 🔥
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✅ Working on a project? Perfect!
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🌟 Discover 6DRepNet: The Ultimate Head Pose Estimation Model!
Features:
* State-of-the-art accuracy
* Comprehensive tools for training, testing, and inference
* Easy setup with conda
* Supports multiple datasets
Watch the performance showcase on GitHub for future advancements.
[Source Code] [Paper]
join our community:
👉 @deeplearning_ai
Features:
* State-of-the-art accuracy
* Comprehensive tools for training, testing, and inference
* Easy setup with conda
* Supports multiple datasets
Watch the performance showcase on GitHub for future advancements.
[Source Code] [Paper]
join our community:
👉 @deeplearning_ai
Free access to our secret channels ✅
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🚀 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! 🌟
Key Features:
🔹 Advanced Neural Network: Built on the robust U2-Net architecture.
🔹 Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
🔹 Seamless Integration: Train, test, and visualize with simple commands.
Demo Visualization:Visualize the demo by configuring your video path in main.py and showcasing the power of 3DGazeNet.
Pretrained Weights:Quick start with our pretrained weights stored in the weights folder.
💻Source Code: https://github.com/Shohruh72/3DGazeNet
📖Read the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
Key Features:
🔹 Advanced Neural Network: Built on the robust U2-Net architecture.
🔹 Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
🔹 Seamless Integration: Train, test, and visualize with simple commands.
Demo Visualization:Visualize the demo by configuring your video path in main.py and showcasing the power of 3DGazeNet.
Pretrained Weights:Quick start with our pretrained weights stored in the weights folder.
💻Source Code: https://github.com/Shohruh72/3DGazeNet
📖Read the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
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Pippo: High-Resolution Multi-View Humans from a Single Image
🔗 Discover More:
* Source code: Github
* Paper: Read the paper
* Jump to Visual: LINK
🔗 Discover More:
* Source code: Github
* Paper: Read the paper
* Jump to Visual: LINK
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🚀 Introducing L2CS-Net: Fine-Grained Gaze Estimation 👀✨
🔗 GitHub Repo: Star ⭐ the Repo
🔥 Key Features:
✅ Fine-grained gaze estimation with deep learning
✅ Supports Gaze360 dataset
✅ Train with Single-GPU / Multi-GPU
✅ Demo for real-time visualization
📌 Quick Start:
🗂️ Prepare dataset
🏋️ Train (
🎥 Video Infernece (
🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo: L2CSNet
#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀
🔗 GitHub Repo: Star ⭐ the Repo
🔥 Key Features:
✅ Fine-grained gaze estimation with deep learning
✅ Supports Gaze360 dataset
✅ Train with Single-GPU / Multi-GPU
✅ Demo for real-time visualization
📌 Quick Start:
🗂️ Prepare dataset
🏋️ Train (
python main.py --train) 🎥 Video Infernece (
python main.py --demo)🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo: L2CSNet
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🚀 Generative AI is Taking Over – Will You Lead or Follow? 🚀
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🔥 High demand, low competition – Now is the time to upskill!
⏳ Opportunities like this don’t last forever!