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Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction

🔗 Discover More:
* Source Code: GitHub
* Project Page: Lotus
* Try Demo: Try it here
* Paper: Read the paper

@MachineLearning_Programming
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Forwarded from ENG. Hussein Sheikho
This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣  Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

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https://www.tgoop.com/codeprogrammer
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❇️ Real-time and easy-to-use football tracker🔥



🔗 Discover More:
* Source Code: GitHub


@MachineLearning_Programming
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Hourglass Tokenizer for Efficient Transformer-Based
3D Human Pose Estimation [CVPR 2024 🔥]


🔗 Discover More:
* Source Code: GitHub
* Paper Page: HoT

@MachineLearning_Programming
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🛹 RollingDepth: Video Depth without Video Models

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

@MachineLearning_Programming
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DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding

🔗 Discover More:
* Source Code: GitHub
* Project Page: DINO-X
* Paper Page: DINO-X paper

@MachineLearning_Programming
OminiControl: Minimal and Universal Control for Diffusion Transformer


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

@MachineLearning_Programming
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Gaze-LLE

🔗 Discover More:
* Source Code: GitHub
* Paper Page: Gaze-LLE

@MachineLearning_Programming
This channels is for Programmers, Coders, Software Engineers.

0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣  Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages

 https://www.tgoop.com/addlist/8_rRW2scgfRhOTc0

 https://www.tgoop.com/Python53
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🧤 HaWoR: World-Space Ego 3D Hands 🧤

Introducing HaWoR: a state-of-the-art approach for 3D hand motion estimation in egocentric videos, developed by Imperial College (H/T Rolandos Alexandros Potamias). Achieving new SOTA in camera pose estimation and hand motion reconstruction, with code available under Attribution-NC-ND 4.0. 💙

Key Highlights:
World-space 3D hand motion estimation
Novel infiller net for hand motion reconstruction
Reliable even with missing frames/occlusions
Robust single-shot camera trajectory estimation

📄 Paper: arxiv.org/pdf/2501.02973
🌐 Project Page: Explore here
💻 Code: Access here

👉 Stay updated on AI/ML innovations! @MachineLearning_Programming
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🚀 The Future of Object Detection is Here!

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🌟FACE ID: Face Identification 🌟


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🔗
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2025/06/16 20:36:51
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