AI Generated Photos: IT’S TOO REAL
TLDRThe video discusses the capabilities of Adobe Generative AI, highlighting its uses in object removal, generation, and scene extension. It also touches on the challenges of generating realistic human faces and the ethical considerations surrounding AI-generated images, mentioning the more realistic outputs from Mid Journey and the implications for copyright and discerning reality.
Takeaways
- 🎨 AI-generated images are becoming increasingly realistic, blurring the line between what's real and what's not.
- 🤖 Generative AI refers to AI systems that can create text, images, and other media based on real-life datasets.
- 🔍 Adobe's generative AI allows for practical applications such as object removal, generation, and scene extension.
- 🚫 Object removal has been simplified with AI, making traditional tools like the Clone stamp obsolete.
- 🎁 Object generation can produce varied results, from unrealistic to surprisingly believable additions to a scene.
- 🏞️ Scene extension can enhance photos, like filling out an Instagram layout or digitally extending a set.
- 👤 AI still struggles with accurately generating human faces, often resulting in unrealistic or blurred features.
- 🌐 AI-generated images, like those from Midjourney, can be incredibly realistic and even deceive viewers.
- 📸 Copyright laws in the US do not apply to AI-generated works, raising questions about ownership and legality.
- 🔮 The potential for AI-generated videos and other media raises concerns about the authenticity of evidence and information.
Q & A
What is the main topic discussed in the video?
-The main topic discussed in the video is AI-generated photos and their increasing realism, specifically focusing on Adobe Generative AI and its capabilities.
What are the three use cases for generative AI mentioned in the video?
-The three use cases mentioned are object removal, object generation, and scene extension.
How has Adobe Generative AI changed the traditional photo editing process?
-Adobe Generative AI has streamlined the photo editing process by making tools like the Clone stamp tool obsolete. Now, users can simply select what they want to be removed and the AI takes care of the rest.
What are some limitations of generative AI when it comes to human faces?
-Generative AI struggles with creating realistic human faces, often resulting in blurred or strange-looking features 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 even more realism, detail, and fidelity compared to Adobe Generative AI and other similar apps.
What ethical and legal concerns does the video raise about AI-generated images?
-The video raises concerns about copyright ownership, the potential for creating fake evidence, and the challenges in distinguishing between real and AI-generated content.
What is the significance of the AI-generated photos of the Pope and Trump mentioned in the video?
-These photos went viral and demonstrate the potential of AI-generated images to create realistic and convincing scenarios, raising questions about authenticity and the impact on society.
How does the video suggest the future of AI in the art world?
-The video suggests that AI will play a significant role in the art world, creating a blend of human and AI-generated art across various mediums like photos, videos, and music.
What is the current status of the AI technologies discussed in the video?
-The AI technologies discussed, such as Adobe Generative AI, are still in their beta stages, but they have already shown impressive functionality and potential for future development.
How does the video address the uncanny valley issue with AI-generated faces?
-The video highlights that Mid Journey has managed to overcome the uncanny valley issue by creating AI-generated faces that look realistic and do not cause discomfort or unease.
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, and is trained on vast datasets to produce new creations. The speaker outlines three primary use cases for Adobe's generative AI: object removal, object generation, and scene extension. Object removal is demonstrated by easily deleting unwanted elements from a photo, while object generation shows the AI's ability to create new items, though with varying success. Scene extension is highlighted as the most impressive feature, allowing for the seamless blending of AI-generated elements with real-life pixels. However, the paragraph also notes the current limitations in generating realistic human faces with AI.
🖼️ The Power and Ethics of MidJourney AI in Image Generation
The second paragraph delves into another AI generation tool called MidJourney, which is noted for creating highly realistic and detailed images. It discusses how MidJourney can generate stylized images as well as photorealistic ones that are nearly indistinguishable from real photos. The speaker is particularly impressed by MidJourney's ability to create believable faces, avoiding the uncanny valley effect. The tool's versatility is demonstrated by its ability to merge faces with different reference photos and even imagine scenes from alternative movie directors. The paragraph raises important ethical and legal questions regarding AI-generated content, such as copyright ownership and the potential for misuse in creating fake evidence or media. It emphasizes the rapidly evolving nature of AI and its growing impact on our perception of reality.
Mindmap
Keywords
💡AI Generated Photos
💡Adobe Generative AI
💡Object Removal
💡Object Generation
💡Scene Extension
💡Mid Journey
💡Human Faces
💡Moral and Legality
💡Copyright Laws
💡AI Art
Highlights
AI-generated photos are becoming incredibly realistic, blurring the line between reality and fiction.
Adobe's generative AI is capable of creating text, images, and other media based on real-life datasets.
Generative AI can remove objects from images, making traditional tools like the Clone Stamp tool almost obsolete.
The AI can generate new objects, such as trophies or even complex scenes, with varying levels of success.
Scene extension allows for the seamless blending of AI-generated elements with real-life pixels, creating expansive images.
Generative AI struggles with creating realistic human faces, often resulting in blurred or distorted features.
MidJourney is an AI generation tool that produces images with high realism and detail, surpassing other apps in fidelity.
AI-generated faces by MidJourney avoid the uncanny valley effect, making them almost indistinguishable from real faces.
The ability to place a face onto any reference photo or generate scenes based on movies or directors showcases the versatility of AI.
Legal and ethical questions arise regarding the ownership and potential misuse of AI-generated content.
The potential for AI-generated videos raises concerns about the authenticity of visual evidence.
AI-generated art, text, photos, videos, and music herald a new era where human creations are intertwined with AI creations.
The rapid advancement of AI technologies offers a glimpse into a future where artificial intelligence plays a significant role in shaping our world.
The video demonstrates the power of generative AI by showing before and after images, highlighting the technology's capabilities.
The video discusses the limitations of generative AI, particularly in the realm of human facial recognition and generation.
The video explores the implications of AI-generated content on social media platforms like Instagram and its potential for creative expression.
The video touches on the importance of guidelines and regulations for the use of generative AI to prevent the spread of misinformation.