❇️ Creating an AI that Knows When You’re Eating Without Seeing or Hearing 🍽👀


https://github.com/ZSturman/Hows-My-Eating


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❇️ BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

🔗 Discover More:
* Source Code: GitHub
* Project Page: BundleSDF
* Supplement Video: Try it here
* Paper: Read the paper

✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

"DARTH: Holistic Test-time Adaptation for Multiple Object Tracking"

🔗 Discover More:
* Source Code: GitHub


✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

❇️ 3D Reconstruction with Spatial Memory


🔗 Discover More:
* Source Code: GitHub
* Project Page: Spann3R
* Supplement Video: Try it here
* Paper: Read the paper

✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

🔗 Discover More:
* Source Code: GitHub
* Try Demo: Try it here


✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

Are you an avid traveler? 🧳✈️

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🚀 Generative AI & MLOps Masterclass!

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4. AI Agents: Build solutions with Amazon Bedrock.
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Feel free to reach out for more details!

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


🔗 Discover More:
* Github Link
* Project Page: AniGS
* Paper: Read the paper

✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

HunyuanVideo: A Systematic Framework For Large Video Generation Model


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

✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/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.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

Elevating Flow-Guided Video Inpainting with Reference Generation

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

✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

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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

✅ https://www.tg-me.com/Artificial Intelligence && Deep Learning/com.deeplearning_ai

🔥 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.tg-me.com/Artificial Intelligence && Deep Learning/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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🚨 FREE MLOps TRAINING ALERT 🚨

💼 Earn up to ₹35.1 Lakhs/Year as a Certified MLOps Engineer!

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