Learn how to transform ordinary photos into stunning 3D images using machine learning and Python in this 20-minute tutorial. Explore the "3D Photography using Context-aware Layered Depth Inpainting" project, set up a Google Colab notebook, and follow step-by-step instructions to clone the GitHub repository, download model checkpoints, and prepare images for inpainting. Witness the 3D inpainting process in action, examine the resulting 3D images, and gain insights into the underlying mechanisms of this innovative technique. Perfect for enthusiasts interested in combining photography, deep learning, and Python to create captivating 3D visual effects.
3D Photo Inpainting Python Tutorial - Turn Any Picture Into 3D Photo with Machine Learning
Overview
Syllabus
Demo of 3D inpainting
Overview of the "3D Photography using Context-aware Layered Depth Inpainting" project
Start a Google Colab notebook
Clone the GitHub project and download model checkpoints
Prepare images for inpainting
3D inpainting
Look at the resulting 3D images
How it works?
Taught by
Venelin Valkov
