graphics
TensorFlow Graphics seamlessly integrates differentiable graphics layers into neural networks, emphasizing efficient training with geometric constraints. It supports self-supervised learning by combining computer vision and graphics techniques to utilize unlabelled data. The project provides graphics layers, 3D viewing capabilities, and full compatibility with TensorFlow. Users can access detailed tutorials on a range of 3D tasks, such as object pose estimation and spherical harmonics, offering a valuable tool for enhancing machine learning models' 3D understanding.
