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.
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.
π1
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://t.me/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks
@ShohruhRakhmatov
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://t.me/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks
@ShohruhRakhmatov
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Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
π3π±1
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ππ Magic-Me: Identity-Specific Video ππ
πhashtag#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 π
ππ’π π‘π₯π’π π‘ππ¬:
β Novel Video Custom Diffusion (VCD) framework
β High-Quality ID-specific videos generation
β Improvement in aligning IDs-images and text
β Robust 3D Gaussian Noise Prior for denoising
β Better Inter-frame correlation / video consistency
β New modules F-VCD/T-VCD for videos upscale
β 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
πChannel: @deeplearning_ai
πPaper https://arxiv.org/pdf/2402.09368.pdf
πProject https://magic-me-webpage.github.io/
πCode https://github.com/Zhen-Dong/Magic-Me
πhashtag#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 π
ππ’π π‘π₯π’π π‘ππ¬:
β Novel Video Custom Diffusion (VCD) framework
β High-Quality ID-specific videos generation
β Improvement in aligning IDs-images and text
β Robust 3D Gaussian Noise Prior for denoising
β Better Inter-frame correlation / video consistency
β New modules F-VCD/T-VCD for videos upscale
β 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
πChannel: @deeplearning_ai
πPaper https://arxiv.org/pdf/2402.09368.pdf
πProject https://magic-me-webpage.github.io/
πCode https://github.com/Zhen-Dong/Magic-Me
π23β€5
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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:
β Novel approach for modeling clothed human figures.
β Unified framework accommodating various clothing types.
β Consistent representation of both body and clothing.
β Enables seamless modification of identity, shape, clothing, and pose.
β Extensive dataset with detailed clothing information.
Explore More:
π»Project Details: Discover More
πRead the Paper: Access Here
π»Source Code: Explore on GitHub
Relevance: #artificialintelligence #machinelearning #AI #deeplearning #computervision
join our community:
π @deeplearning_ai
Introduction: Neural-ABC, a cutting-edge parametric model developed by the University of Science & Technology of China, innovatively represents clothed human bodies.
Key Features:
β Novel approach for modeling clothed human figures.
β Unified framework accommodating various clothing types.
β Consistent representation of both body and clothing.
β Enables seamless modification of identity, shape, clothing, and pose.
β Extensive dataset with detailed clothing information.
Explore More:
π»Project Details: Discover More
πRead the Paper: Access Here
π»Source Code: Explore on GitHub
Relevance: #artificialintelligence #machinelearning #AI #deeplearning #computervision
join our community:
π @deeplearning_ai
π12π₯7β€6
demo.gif
15 MB
π Explore SCRFD: High-Efficiency, High-Accuracy Face Detection π
Unlock next-level face detection capabilities with SCRFD β efficiency and accuracy in one solution!
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π Explore more and consider starring our repo for updates:
--- GitHub Repository.
--- Paper
#AI #MachineLearning #FaceDetection #TechInnovation #DeepLearning
β https://t.me/deeplearning_ai
Unlock next-level face detection capabilities with SCRFD β efficiency and accuracy in one solution!
π Performance at a Glance:
β Model range: SCRFD_500M to SCRFD_34G
β Accuracy up to 96.06%
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π Explore more and consider starring our repo for updates:
--- GitHub Repository.
--- Paper
#AI #MachineLearning #FaceDetection #TechInnovation #DeepLearning
β https://t.me/deeplearning_ai
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π Discover the Power of Fine-Grained Gaze Estimation with L2CS-Net! π
π Key Features:
β Advanced Architecture: Built using state-of-the-art neural network structures.
β Versatile Utilities: Packed with utility functions and classes for seamless integration.
β Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
β Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.
π Live Demo:
Visualize the power of L2CS-Net with your own video:
π 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!
π GitHub Repository
Let's advance gaze estimation together! ππ #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision
π Key Features:
β Advanced Architecture: Built using state-of-the-art neural network structures.
β Versatile Utilities: Packed with utility functions and classes for seamless integration.
β Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
β Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.
π Live Demo:
Visualize the power of L2CS-Net with your own video:
π 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!
π GitHub Repository
Let's advance gaze estimation together! ππ #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision
π14β€5π€©1
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π Unlock ML deployment secrets on top clouds & open source.
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π Exciting AI Breakthrough! Meet U^2-Net! π
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π10π’1
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π The Future of Object Detection is Here!
πAchieve state-of-the-art results with just one line of code! π₯
π₯ Live Demos & Code: GitHub Repo
π₯ Pretrained Models: Ready for downloadβplug and play!
βοΈ Support innovation! Star the repo now π GitHub Link
π’ Join our ML community: @DeepLearning_ai
#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
πAchieve state-of-the-art results with just one line of code! π₯
π₯ Live Demos & Code: GitHub Repo
π₯ Pretrained Models: Ready for downloadβplug and play!
βοΈ Support innovation! Star the repo now π GitHub Link
π’ Join our ML community: @DeepLearning_ai
#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
π₯9π7β€5
π 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! π
Key Features:
πΉ Advanced Neural Network: Built on the robust U2-Net architecture.
πΉ Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
πΉ 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.
π»Source Code: https://github.com/Shohruh72/3DGazeNet
πRead the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
Key Features:
πΉ Advanced Neural Network: Built on the robust U2-Net architecture.
πΉ Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
πΉ 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.
π»Source Code: https://github.com/Shohruh72/3DGazeNet
πRead the Paper: Access Here
#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation
Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
π7π€©3β€2π₯2
π You Rock! π€
We love the shout-out! Want to stay ahead with the latest AI news? Subscribe now! π©
π Ainews.com/subscribe
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We love the shout-out! Want to stay ahead with the latest AI news? Subscribe now! π©
π Ainews.com/subscribe
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Bringing the Future of AI to You
π4π₯3
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π Introducing L2CS-Net: Fine-Grained Gaze Estimation πβ¨
π GitHub Repo: Star β the Repo
π₯ Key Features:
β Fine-grained gaze estimation with deep learning
β Supports Gaze360 dataset
β Train with Single-GPU / Multi-GPU
β Demo for real-time visualization
π Quick Start:
ποΈ Prepare dataset
ποΈ Train (
π₯ Video Infernece (
π Support Open Source! Star β & Share!
π GitHub Repo: L2CSNet
#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource π
π GitHub Repo: Star β the Repo
π₯ Key Features:
β Fine-grained gaze estimation with deep learning
β Supports Gaze360 dataset
β Train with Single-GPU / Multi-GPU
β Demo for real-time visualization
π Quick Start:
ποΈ Prepare dataset
ποΈ Train (
python main.py --train) π₯ Video Infernece (
python main.py --demo)π Support Open Source! Star β & Share!
π GitHub Repo: L2CSNet
#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource π
π17β€3π₯2π€©1
π Next-Level 3D Generation is Here!
π₯ TripoSG β A state-of-the-art open-source 3D generation model powered by Large-Scale Rectified Flow Transformers.
π¨ Turn single images into high-fidelity 3D shapes β fast, accurate, and stunning.
π Paper:https://arxiv.org/pdf/2502.06608v3
π Demo: Try it on Hugging Face
π» Code: GitHub Repo
π‘ Built by VAST-AI Research
#AI #3D #OpenSource #DiffusionModels #TripoSG
join our community:
π @deeplearning_ai
π₯ TripoSG β A state-of-the-art open-source 3D generation model powered by Large-Scale Rectified Flow Transformers.
π¨ Turn single images into high-fidelity 3D shapes β fast, accurate, and stunning.
π Paper:https://arxiv.org/pdf/2502.06608v3
π Demo: Try it on Hugging Face
π» Code: GitHub Repo
π‘ Built by VAST-AI Research
#AI #3D #OpenSource #DiffusionModels #TripoSG
join our community:
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π Refactored HRNet Now Live! π
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π Check it out & βοΈ Star the repo if you find it useful!
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π Check it out & βοΈ Star the repo if you find it useful!
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π 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 supervisionβno huge real-world datasets needed.
Perfect for AR/VR, HCI, and beyond.
Cutting-edge, open-source, and ready for your next project!
π Try it now: https://github.com/Shohruh72/3DGazeNet
#DeepLearning #GazeEstimation #AI
@deeplearning_ai
Discover how to train powerful gaze estimation models using only synthetic data and weak supervisionβno huge real-world datasets needed.
Perfect for AR/VR, HCI, and beyond.
Cutting-edge, open-source, and ready for your next project!
π Try it now: https://github.com/Shohruh72/3DGazeNet
#DeepLearning #GazeEstimation #AI
@deeplearning_ai
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