Good day dear subscribers.
Within this past a year we learn or still learning more about specific topics through channel.
I try with my best to provide, keep going with contemporary knowladge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and Stay with us.

Good day dear subscribers.
Today, 25th January, our community are already more than 30K.
Within these years we learn or still learning more about specific topics through channel.
I try my best to provide, keep going with contemporary knowledge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and stay with us and invite your friends (https://yangx.top/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks

@ShohruhRakhmatov

🆔🆔 Magic-Me: Identity-Specific Video 🆔🆔

👉hashtag#ByteDance (+UC Berkeley) unveils VCD for video-gen: with just a few images of a specific identity it can generate temporal consistent videos aligned with the given prompt. Impressive results, source code under Apache 2.0 💙

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Novel Video Custom Diffusion (VCD) framework
✅High-Quality ID-specific videos generation
✅Improvement in aligning IDs-images and text
✅Robust 3D Gaussian Noise Prior for denoising
✅Better Inter-frame correlation / video consistency
✅New modules F-VCD/T-VCD for videos upscale
✅New train with masked loss by prompt-to-segmentation

hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse

👉Channel: @deeplearning_ai
👉Paper https://arxiv.org/pdf/2402.09368.pdf
👉Project https://magic-me-webpage.github.io/
👉Code https://github.com/Zhen-Dong/Magic-Me

Neural Bodies with Clothes: Overview

Introduction: Neural-ABC, a cutting-edge parametric model developed by the University of Science & Technology of China, innovatively represents clothed human bodies.

Key Features:

✅Novel approach for modeling clothed human figures.
✅Unified framework accommodating various clothing types.
✅Consistent representation of both body and clothing.
✅Enables seamless modification of identity, shape, clothing, and pose.
✅Extensive dataset with detailed clothing information.

Explore More:
💻Project Details: Discover More
📖Read the Paper: Access Here
💻Source Code: Explore on GitHub

Relevance: #artificialintelligence #machinelearning #AI #deeplearning #computervision

join our community:
👉 @deeplearning_ai

🚀 Explore SCRFD: High-Efficiency, High-Accuracy Face Detection 🚀


Unlock next-level face detection capabilities with SCRFD – efficiency and accuracy in one solution!


📈 Performance at a Glance:

✅Model range: SCRFD_500M to SCRFD_34G
✅Accuracy up to 96.06%
✅Inference as fast as 3.6 ms

🔍 Explore more and consider starring our repo for updates:
--- GitHub Repository.
--- Paper



#AI #MachineLearning #FaceDetection #TechInnovation #DeepLearning

✅ https://yangx.top/deeplearning_ai

🔍 Discover the Power of Fine-Grained Gaze Estimation with L2CS-Net! 🌟

🚀 Key Features:
✅Advanced Architecture: Built using state-of-the-art neural network structures.
✅Versatile Utilities: Packed with utility functions and classes for seamless integration.
✅Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
✅Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.

👀 Live Demo:
Visualize the power of L2CS-Net with your own video:


🌟 Join Us:
Star our repo on GitHub and be part of the innovative community pushing the boundaries of gaze estimation. Your support drives us forward!

🔗 GitHub Repository

Let's advance gaze estimation together! 🚀🌐 #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision

🚀 MLOps Market to reach US$4 Billion in 2025

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Navigating the Landscape of MLOps & LLMOps

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🌟 Exciting AI Breakthrough! Meet U^2-Net! 🌟

🌟 Why U^2-Net?
* Efficient
* AdvancedArchitecture.
* High-Resolution Outputs
🚀 Key Applications:
* Salient Object Detection
* Background Removal
* Medical Imaging

💡 Ready to Transform Projects

✨ Give our repo a ⭐ and show your support!

#AI #DeepLearning #U2Net #ImageSegmentation #OpenSource #GitHub

💻Source Code: Explore GitHub Repo

Happy Learning! 🌟

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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

📢 Join our ML community: @DeepLearning_ai

#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation

🚀 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!

🚀 You Rock! 🤘

We love the shout-out! Want to stay ahead with the latest AI news? Subscribe now! 📩

👉 Ainews.com/subscribe

#AI #News #Subs

🚀 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 (python main.py --train)
🎥 Video Infernece (python main.py --demo)

🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo: L2CSNet

#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀

🚀 Next-Level 3D Generation is Here!

🔥 TripoSG — A state-of-the-art open-source 3D generation model powered by Large-Scale Rectified Flow Transformers.

🎨 Turn single images into high-fidelity 3D shapes — fast, accurate, and stunning.

🔗 Paper:https://arxiv.org/pdf/2502.06608v3
🛠 Demo: Try it on Hugging Face
💻 Code: GitHub Repo

💡 Built by VAST-AI Research

#AI #3D #OpenSource #DiffusionModels #TripoSG

join our community:
👉 @deeplearning_ai

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🚀 Refactored HRNet Now Live! 🚀

🔥 Supercharge your computer vision projects with high-resolution HRNet models – fully refactored for easy training/testing!

✅ Multiple ImageNet-pretrained models
✅ Lightning-fast setup
✅ Top-tier accuracy

👉 Check it out & ⭐️ Star the repo if you find it useful!
GitHub: Shohruh72/HRNet

#AI #DeepLearning #OpenSource

@deeplearning_ai

🚀 3DGazeNet: Next-Gen Gaze Estimation! - get instant results with just one click.

Discover how to train powerful gaze estimation models using only synthetic data and weak supervision—no huge real-world datasets needed.
Perfect for AR/VR, HCI, and beyond.
Cutting-edge, open-source, and ready for your next project!

👉 Try it now: https://github.com/Shohruh72/3DGazeNet

#DeepLearning #GazeEstimation #AI

@deeplearning_ai

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