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🌴🌴Direct-a-Video: driving Video Generation🌴🌴

πŸ‘‰Direct-a-Video is a text-to-video generation framework that allows users to individually or jointly control the camera movement and/or object motion. Authors: City University of HK, Kuaishou Tech & Tianjin.

𝐇𝐒𝐠𝐑π₯𝐒𝐠𝐑𝐭𝐬:
βœ…Decoupling camera/object motion in gen-AI
βœ…Allowing users to independently/jointly control
βœ…Novel temporal cross-attention for cam motion
βœ…Training-free spatial cross-attention for objects
βœ…Driving object generation via bounding boxes

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

πŸ‘‰Channel: @MachineLearning_Programming
πŸ‘‰Paper https://arxiv.org/pdf/2402.03162.pdf
πŸ‘‰Project https://direct-a-video.github.io/
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LeGrad: Layerwise Explainability GRADient method for large ViT transformer architectures

Explore More:
πŸ’»DEMO:
you may use demo
πŸ“–Read the Paper:
Access Here
πŸ’»Source Code: Explore on GitHub

Relevance:
#AI #machinelearning #deeplearning #computervision

join our community:
πŸ‘‰
@MachineLearning_Programming
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πŸš€ Discover LiteHPE: Advanced Head Pose Estimation πŸš€

Features:
πŸ› οΈ Setup in Minutes:
πŸ“ˆ Top-Tier Performance:
βœ… Achieve low Mean Absolute Error rates
βœ… Models range from MobileOne_s0 to s4
βœ… Pretrained models ready for download

🌟 🌟 Star us on GitHub for the latest updates: LiteHPE on GitHub.

Boost your project's capabilities with LiteHPE – the forefront of head pose estimation technology!

#AI #MachineLearning #HeadPoseEstimation #Technology #DeepLearning

πŸ”— Join now:
@MachineLearning_Programming
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πŸš€ MLOps Market to reach US$4 Billion in 2025

Unleash MLOps Mastery - FREE Training on AWS, Azure, GCP & Open-source!

Navigating the Landscape of MLOps & LLMOps

🌟 Unlock ML deployment secrets on top clouds & open source.
πŸ’‘ Dive into data management insights.
πŸ› οΈ Harness the latest MLOps tools.
πŸ‘₯ Real-time expert interaction.

πŸ”₯ Limited spots! Enroll now:
https://bit.ly/mlops-free-class

πŸš€ Share with ML enthusiasts! #MLOps #AI #TechTraining
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πŸš€ 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! 🌟

Key Features:
πŸ”Ή Advanced Neural Network:
Built on the robust U2-Net architecture.
πŸ”Ή Comprehensive Utilities:
Easy data loading, preprocessing, and augmentation.
πŸ”Ή 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.

πŸ’»Source Code: https://github.com/Shohruh72/3DGazeNet
πŸ“–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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🚨 FREE MLOps TRAINING ALERT 🚨

πŸ’Ό Earn up to β‚Ή26.6 Lakhs/Year as a Certified MLOps Engineer!

πŸš€ Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools!

πŸ”₯ LIMITED SPOTS – Act Fast!
πŸ“ Secure Your Spot Now:


https://bit.ly/mlops-free-class

πŸ’‘ Transform Your Career with our Expert Training!

🎯 Share with fellow ML Enthusiasts and future tech leaders!
#MLOps #AI #TechCareers #FreeTraining
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🚨 FREE MLOps TRAINING ALERT 🚨

πŸ’Ό Earn up to β‚Ή35.1 Lakhs/Year as a Certified MLOps Engineer!

πŸš€ Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools!

πŸ”₯ LIMITED SPOTS – Act Fast!
πŸ“ Secure Your Spot Now:


https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777

πŸ’‘ Transform Your Career with our Expert Training!

🎯 Share with fellow ML Enthusiasts and future tech leaders!
#MLOps #AI #TechCareers #FreeTraining
πŸ‘10
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πŸš€ The Future of Object Detection is Here!

πŸ”Achieve state-of-the-art results with just one line of code! πŸ”₯


πŸŽ₯ Live Demos & Code: GitHub Repo

πŸ“₯ Pretrained Models: Ready for downloadβ€”plug and play!

⭐️ Support innovation! Star the repo now πŸ‘‰ GitHub Link

πŸ“’ Join our ML community: @MachineLearning_Programming

#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
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πŸš€ PIPNet: One-Click Facial Landmark Detection 🎯

πŸ”— GitHub: Star ⭐ the Repo | πŸŽ₯ Watch Dem

πŸ”₯ Key Features:
βœ… One-Click Inference – Just run & detect!
βœ… High Accuracy (300W dataset) πŸ“Š
βœ… ResNet-powered for robustness
βœ… Supports training, testing & real-time demo πŸŽ₯

πŸ“Œ Run Inference in One Click:
python main.py --demo

πŸ“Š Performance:
πŸ”Ή ResNet101 (120 epochs) β†’ 3.17 NME

🌟 Support Open Source! Star ⭐ & Share!

πŸ”— GitHub Repo

#AI #DeepLearning #FacialRecognition #PIPNet #OneClickInference πŸš€
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🧠 VGGT: Visual Geometry Grounded Transformer

⚑️ Fast, accurate 3D scene understanding from just a few images β€” no post-processing needed!

🎯 Outputs: camera pose, depth, point cloud & 3D tracking
πŸ”₯ Boosts tasks like view synthesis & non-rigid tracking

πŸ“„ Read the paper
πŸ’» Code on GitHub

#AI #3D #Transformer #VGGT #ComputerVision

βœ… @MachineLearning_Programming
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🚨 FREE MLOps TRAINING ALERT 🚨

πŸ’Ό Earn up to β‚Ή35.1 Lakhs/Year as a Certified MLOps Engineer!

πŸš€ Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools!

πŸ”₯ LIMITED SPOTS – Act Fast!
πŸ“ Secure Your Spot Now:


https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777

πŸ’‘ Transform Your Career with our Expert Training!

🎯 Share with fellow ML Enthusiasts and future tech leaders!
#MLOps #AI #TechCareers #FreeTraining
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πŸš€ Refactored HRNet Now Live! πŸš€

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

βœ… Multiple ImageNet-pretrained models
βœ… Lightning-fast setup
βœ… Top-tier accuracy

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

#AI #DeepLearning #OpenSource

βœ… @MachineLearning_Programming
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🎬 Live Portraits AI: Bring Photos to Life!

Transform any static portrait into a vivid animationβ€”just one click.

✨ One-click animation
✨ Realistic facial movements
✨ Supports image & video input

πŸ‘‰ [Try it now!]

#AI #PortraitAnimation #DeepLearning


@MachineLearning_Programming
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