recent advances in deep learning the practical applications of pose estimation are similar to image segmentation and object detectionalthough the applications for pose estimation are more meaningful and targeted--for exampletracking the activity of personsuch as runningcyclingetc activity tracking enables security surveillance to be taken to the next level another important application of pose estimation is related to the field of motion cinema and augmented reality translating motion capture from human into -dimensional graphical characterwhere the movements are precisely captured and translated (called vfxor vfx)is used often in motion cinema to learn more about pose estimationvisit tag/facial-pose-estimationgenerative computer vision beyond classificationobject detectionimage segmentationand pose estimationwe also have another hot field within computer vision-generative adversarial networks (gansgenerative models in computer vision first learn the distribution of the training set and then generate some new samples with small variation these new images are synthetically generated by the model using random noise and previously learned model weights in supervised setting figure - shows an example of image samples generated by gan models