AI Generated Photos: IT’S TOO REAL
TLDRThe video discusses the capabilities of Adobe's generative AI, showcasing its applications in object removal, generation, and scene extension. It highlights the impressive realism of AI-generated images, while also touching on the challenges of creating realistic human faces. The video also mentions the ethical and legal implications of AI-generated content, questioning ownership and authenticity in a world where AI can create increasingly convincing media.
Takeaways
- 🎨 AI-generated photos are becoming increasingly realistic, blurring the line between what's real and what's not.
- 🤖 Generative AI is an artificial intelligence system that can create text, images, and other media based on real-life data sets.
- 🖼️ Adobe's generative AI allows for practical applications like object removal, generation, and scene extension in images.
- 🚫 Object removal has been simplified with AI, making traditional tools like the Clone stamp obsolete.
- 🎁 Object generation can produce varied results, from less convincing to highly realistic creations.
- 🌄 Scene extension can blend real-life pixels with AI-generated elements to create seamless, extended images.
- 🧑 Human faces are challenging for AI to generate realistically, often resulting in identifiable inaccuracies.
- 🌐 AI-generated images have raised questions about morality, legality, and the potential for misuse, such as faking evidence.
- 🖼️ MidJourney is another AI tool that can generate highly realistic images, even eliminating the uncanny valley effect in faces.
- 🏛️ Copyright laws currently do not apply to AI-generated works, leading to discussions about ownership and authenticity.
Q & A
What is the main topic of the video?
-The main topic of the video is AI-generated photos and their increasing realism, with a focus on Adobe Generative AI and its capabilities.
What are the three use cases of generative AI discussed in the video?
-The three use cases discussed are object removal, object generation, and scene extension.
How does Adobe Generative AI change the process of object removal in Photoshop?
-Adobe Generative AI simplifies object removal by allowing users to select and delete unwanted objects from an image with a click of a button, making the Clone Stamp tool essentially obsolete.
What are some limitations of generative AI in generating human faces?
-Generative AI struggles with creating realistic human faces, often resulting in blurry or slightly strange appearances that can easily be identified as not real.
How does Mid Journey differ from Adobe Generative AI?
-Mid Journey is another AI generation tool that generates images with more realism, detail, and fidelity compared to Adobe Generative AI, and it handles the generation of faces in a way that avoids the uncanny valley effect.
What is the potential legal and moral issue raised by the video regarding AI-generated images?
-The video raises the issue of copyright and ownership of AI-generated images, as well as the potential for creating fake evidence or determining the authenticity of images in the legal system.
What is the significance of the AI-generated photos of the Pope and Trump mentioned in the video?
-These photos, which went viral, demonstrate the increasing capability of AI to generate realistic images that can fool people into believing they are real, raising questions about the future of truth and authenticity in media.
How does the video address the future of AI in the arts?
-The video suggests that we are moving towards a world where AI-generated art, including text, photos, videos, and music, will coexist with human-created art, and that this transition is happening very rapidly.
What is the role of user guidelines in the use of generative AI?
-User guidelines, like those provided by Adobe, are in place to restrict the use of generative AI for creating content that involves graphic violence, illegal activities, or impersonating individuals, ensuring ethical use of the technology.
What is the potential application of scene extension in photography?
-Scene extension can be used to adjust the composition of a photo, such as filling out the frame on social media platforms like Instagram or digitally extending a set in a more visually pleasing way.
Outlines
🎨 Introduction to Adobe Generative AI and its Applications
This paragraph introduces the concept of generative AI, specifically focusing on Adobe's implementation. It explains that generative AI can create text, images, and other media based on prompts, using data sets to generate new creations. The speaker illustrates this by showing a painting and a trophy that were AI-generated, emphasizing that the entire setting around them is not real. The paragraph outlines three primary use cases for generative AI: object removal, object generation, and scene extension. Object removal is highlighted as a significant application, where AI has made traditional tools like the Clone stamp obsolete. Object generation is described as a hit-or-miss feature, with varying levels of success in creating believable images. Scene extension is noted as the most impressive use case, allowing for seamless blending of AI-generated elements with real-life pixels. However, the paragraph also points out the limitations of generative AI in accurately rendering human faces.
🤖 MidJourney AI and its Impact on Realism
The second paragraph delves into the capabilities of MidJourney, another AI generation tool that surpasses Adobe's AI in terms of realism and detail. It emphasizes the platform's ability to generate highly stylized and photo-realistic images, challenging the distinction between AI-generated and real content. The paragraph discusses how MidJourney can convincingly create faces that avoid the uncanny valley effect, raising questions about the ethical and legal implications of such technology. The potential for AI-generated content to be used unethically, such as faking evidence or impersonating individuals, is highlighted. The paragraph concludes by contemplating the future where AI-generated art, text, photos, videos, and music will coexist with human creations, noting the rapid pace of this technological evolution.
Mindmap
Keywords
💡AI Generated Photos
💡Adobe Generative AI
💡Object Removal
💡Object Generation
💡Scene Extension
💡Human Faces
💡Mid Journey
💡Copyright and AI
💡Uncanny Valley
💡AI Art
💡Moral and Legality
Highlights
AI generated videos are now a reality, with technology advancing to create highly realistic visuals.
Adobe's generative AI allows for the creation of text, images, and other media based on real-life datasets.
Generative AI models are trained on thousands of samples to produce new creations.
Object removal using generative AI is more efficient than traditional Photoshop tools like the Clone stamp.
Generative AI can remove people from a scene quickly and accurately, as demonstrated in a photo taken in Japan.
Object generation with AI can produce varying results, from realistic trophies to less convincing hot air balloons.
Scene extension is a powerful use case of generative AI, blending real and AI-generated pixels seamlessly.
Generative AI struggles with human faces, often resulting in a blur or an uncanny resemblance.
Mid Journey is an AI generation tool that produces images with high realism and detail, surpassing other apps.
AI-generated faces by Mid Journey avoid the uncanny valley effect, making them almost indistinguishable from real faces.
Mid Journey allows users to swap faces or generate images based on specific movies or directors' styles.
AI-generated images are not subject to copyright laws, as they are not created by humans.
The morality and legality of AI-generated content raise questions about image ownership and the potential for misuse.
The advancement of AI-generated videos could lead to a world where human and AI art coexist.
The speed at which AI is evolving gives a glimpse into a future where artificial intelligence plays a significant role in various aspects of life.