❇️ AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction 🔥


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* Github Link
* Project Page: AniGS
* Paper: Read the paper

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HunyuanVideo: A Systematic Framework For Large Video Generation Model


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* Source code: Github
* Project Page: HunyuanVideo
* Paper: Read the paper

✅ https://www.tgoop.com/deeplearning_ai

PanoDreamer: 3D Panorama Synthesis from a Single Image

🔗 Discover More:
* Source code: Github
* Project Page: PanoDreamer
* Paper: Read the paper
* YouTube: Video Results

✅ https://www.tgoop.com/deeplearning_ai

Elevating Flow-Guided Video Inpainting with Reference Generation

🔗 Discover More:
* Source code: Github
* Paper: Read the paper

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OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving

🔗 Discover More:
* 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://www.tgoop.com/deeplearning_ai

⚽ 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

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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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🚀 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!

🌍 Supports 120+ languages
✅ 99% accuracy
⏱️ Processes up to 6+ hours of audio seamlessly

🔊 Say goodbye to manual transcription—Whisper AI does it for you!

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🔥 WineWayLab – The FIRST Online Accelerator for WineTech Startups! 🔥
🚀 Passionate about Tech & Wine? Turn your idea into a game-changing WineTech startup with WineWayLab – a FREE 2-month online accelerator!

🎯 Who can apply?
✅ Have just an idea? Welcome!
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🔹 2 months of expert mentorship & startup development
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🌍 Last batch stats: 320+ applications from 14 countries – only 60 spots! A strong motivation letter is KEY!

✨ Dream of launching a WineTech startup? This is your moment!

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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]

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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!

🚀 You Rock! 🤘

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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

🚀 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 🚀