Over the past several years, machine learning and deep learning have pushed us far in this direction. Highly realistic digital humans have been created with the help of techniques like Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). These algorithms can be trained on large datasets of real human images and videos so that they are then able to create new, computer-generated avatars that appear unmistakably realistic.
One of the primary difficulties faced with generating realistic human avatars is capturing their emotion and movement to achieve a near-real experience. Human behavior is nuanced, with all sorts of tiny differences in facial expressions and body language and speech patterns. Researchers are now integrating advanced techniques (i.e., motion capture, facial recognition and speech synthesis) into their avatar creation pipelines to emulate such complexity.
Avatars need to be attuned and respond appropriately to social cues like body language, prosody (sound of voice), as well as the context. Developers are accomplishing this through the use of natural-language processing (NLP) and social learning algorithms in their avatar systems.
The quickest and most effective way to establish a realistic experience is by having a human display emotions. This is exactly what LUMA AI — a platform for generating photo-realistic human avatars with real people.
Step 1: Sign up or login (if you already have an account) to the Luma AI platform from here.
Visit Luma AI Website
Step 2: Speaking of which, get the Enhance Prompt feature like this: if the ‘enhance prompt’ box is unchecked, ensure you check it.
Step 3: Insert Your Text Prompt Next, type the text prompt you want in the prompt box to get started on your video. Example: “wind blowing, Smiling”
Step 4: Produce Your Video Click the far right-upwards facing white-colored arrow and wait for it to do its magic.. The project will expand on your prompt and put your basic description into action.
Step 5: Download your result or extend it as need. At this point, you can have the result downloaded or generate more content if you are not satisfied with the output.
As these technologies develop further, there will be increasing lifelike human avatars employed across a range of applications from virtual reality and gaming to healthcare and education.
