What is AIGC? Discover the Types of Content It Can Generate

What is AIGC?

AIGC, or AI-Generated Content, refers to the automatic creation of content using advanced artificial intelligence technologies. This guide explores the AI techniques behind AIGC and the diverse types of content it can produce.

Understanding AIGC: A Three-Tiered Framework

AIGC is categorized into three levels based on technology:

1. Intelligent Digital Content Twin

- This concept involves mapping existing digital content to create new content where none exists.

- Enhancement includes improving and augmenting digital content, such as upscaling low-resolution images or restoring old photographs.

- Transformation allows for content conversion across modalities, like generating subtitles from audio or performing text-to-speech transformations.

- Use Cases: Image upscaling, audio-to-text transcription, text-to-speech conversion.

2. Intelligent Digital Content Editing

- This process modifies content based on its attributes. In computer vision, AI can analyze video content and edit clips by detecting relevant scenes.

- AI can facilitate virtual fitting by understanding body shapes and controlling garment deformations. In audio, it differentiates between vocal signals and background noise.

- Application Areas: Video editing, virtual fitting, audio signal manipulation.

3. Intelligent Digital Content Generation

- This aspect involves learning abstract concepts and synthesizing them to create original content. For instance, AI can analyze artistic techniques and styles to produce unique artworks.

- It excels in generating text, music, and poetry, and can even create images based on text descriptions with specific styles and attributes.

- Application Areas: AI image generation, AI writing, chatbot text generation, video generation.

Key Aspects of AIGC Content Generation

AIGC encompasses five primary content generation areas:

1. Text Generation

- This utilizes natural language processing, with non-interactive types (e.g., summarization, content creation) and interactive types (e.g., chatbots, text-based games). Notable examples include JasperAI, Copy.AI, ChatGPT, and Bard.

2. Image Generation

- This can be divided into editing (e.g., super-resolution, image restoration) and autonomous generation, such as creating cartoon images from photos or generating visuals from text prompts. Key tools include DALL-E, Midjourney, and StableDiffusion.

3. Audio Generation

- Audio technology includes voice cloning and tailored audio for specific applications, such as digital announcements. Representative models are WaveNet and DeepVoice.

4. Video Generation

- Video generation includes both editing (e.g., enhancing video quality) and autonomous creation based on images or textual descriptions. Solutions like Deepfake and Make-A-Video exemplify this domain.

5. Multi-Modal Generation

- This innovative field enables the conversion between various modalities, such as turning text into images or audio and vice versa. Prominent tools include DALL-E and StableDiffusion.

Conclusion

AIGC represents a pivotal evolution in digital content creation, utilizing AI to generate and enhance various media. By understanding its technological foundations and applications, we can leverage AI's capabilities to meet diverse content generation needs.