
img2pose: Guide to Face Alignment, Detection and Pose Estimation using 6DoF
We have already seen a couple of pose estimation and face detection techniques in our previous article like 3ddfa-v2, OpenPose, Nvidia Imaginaire(Image & Video translation
We have already seen a couple of pose estimation and face detection techniques in our previous article like 3ddfa-v2, OpenPose, Nvidia Imaginaire(Image & Video translation
PoseCNN(Convolutional Neural Network) is an end to end framework for 6D object pose estimation, It calculates the 3D translation of the object by localizing the
we have learned how self-supervised depth estimation (SDE) can be used to improve semantic segmentation, in both semis and fully supervised configuration.
We have seen enough of the optimizers previously in Tensorflow and PyTorch library, today we will be discussing a specific one i.e. AdaBelief. Almost every
YolatEdge is one of the first competitive instanced segmentation techniques that can run on small devices with great real-time speed, It can reach up to
Recently Salesforce Research launched an open-sourced framework for economic policy design and simulation: AI Economist. It is an economic simulation environment in which Artificial intelligence
3D dense face alignment(3DDFA) is a trending technique for many face tasks, For example, object recognition, animation, tracking, image restoration, and many more. For now,
PyTorch is the fastest growing deep learning framework and it is also used by many top fortune companies like Tesla, Apple, Qualcomm, Facebook, and many
Optimizers are the expanded class, which includes the method to train your machine/deep learning model. Right optimizers are necessary for your model as they improve
Bringing Old Photos Back to Life
OpenPose is a Real-time multiple-person detection library, and it’s the first time that any library has shown the capability of jointly detecting human body, face,
Impersonator++ is a human motion imitation library with state-of-the-art image synthesis within a unified framework, which means if the model once trained it can be
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