Artificial Intelligence and Content: Generative Videos, Realistic Avatars, and AI Photoshoots
Certainly, one of the most significant phenomena and breakthroughs of 2023 is the widespread integration of artificial intelligence. Based on the analysis of big data, user query frequencies, and assessments from leading experts, the most popular term has become "neural network."
In 2024, AI continues to gain momentum: learning algorithms are improving, the creativity of neural networks is becoming increasingly challenging to distinguish from reality, routine tasks are delegated to chatbots, and social media users actively incorporate generated content into their profiles.
Let's delve into the trends that will characterize marketing with the use of neural networks: generative videos, digital avatars, and simulated photoshoots.
What types of generative videos exist?
Video generation using artificial intelligence (AI) is a domain that encompasses various machine learning methods and generative models to produce video content. Here are several key approaches to video generation using artificial intelligence:
Generative Adversarial Networks (GANs): GANs serve as a powerful tool for generating various types of content, including images and videos. In the context of video generation, GANs can be trained on video data to create new frames that align with the style or characteristics of the training dataset.
Autoencoders: These neural networks learn to compress input data into a compact representation and then reconstruct it. Applying autoencoders to videos allows for the creation of new frames or even the alteration of the style of existing ones.
Motion Synthesis: By leveraging deep learning-based methods, realistic movements can be generated for objects in videos. This may involve animating characters, altering scenarios, or creating entirely new motions.
Style Transfer: Methods that enable the alteration of video styles allow for the application of various effects and artistic approaches to the original content. This can involve transferring painting styles onto videos, creating animations in the style of a specific artist, and more.
Video Generation from Text Description: AI can also be utilized to create videos based on textual descriptions, enabling the generation of video scenarios based on textual instructions.
The application of these methods can be diverse, ranging from content creation to the enhancement of existing videos. Nevertheless, creating high-quality and realistic videos using AI remains a challenging task, and ongoing research in this field aims to improve results.
Top neural networks for video content creation
GEN-2 by Runway
«If you can imagine it, you can generate it». The exact slogan you can find in the official promotional video for Gen-2.
The Runway neural network is renowned as one of the most popular platforms for generating and processing videos using AI. With its extensive functionality, Gen-2 allows users to create videos based on text descriptions, photo references, or video references. For instance, various visual effects can be applied, objects in the frame can be removed or replaced, specific video layers can be worked on individually, subtitles can be added, and the "motion brush" tool can be used to manipulate specific areas of the image.
On the official website, there is a short tutorial video on how to write prompts (textual descriptions for the created video). The more detailed the description of objects, movements, perspectives, camera angles, the higher the quality of the desired result. For more precise task execution by the neural network, it is recommended to write prompts in English.
Users are provided with 105 trial seconds to generate their initial videos, after which a paid subscription is required to continue using the neural network.
Pika 1.0 AI Video Generator
Pika is a video generation tool introduced by the startup Pika Labs in November 2023. Its primary tenet is to "empower everyone to become the director of their own story and awaken the creator in each of us." The functionality aligns with other neural networks, generating videos based on text, pre-existing images, and video sequences. However, Pika introduces some innovative features:
Video-to-Video: Transformation of existing videos by adding objects, characters, and applying a new style (e.g., 3D animation, comics, anime).
Change: Editing characters, individual clothing elements, and the character's surroundings.
Expand: Adjusting the aspect ratio of the video.
Extend: Increasing the length of the video.
Access to the video editor can be obtained via the Discord platform or through Pika.art (currently in a waiting list phase). Pika aims to provide a creative outlet for users to craft unique and personalized video content, fostering a sense of directorial control over their narratives.
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