Mind Boggling A.I. to Fix EXTREME Blur!
TLDRUmesh from Pixar shares his astonishment with a mobile AI application that enhances and fixes blurred images, even those with shallow depth of field. He demonstrates the app's ability to bring back details in faces and objects, transforming low-resolution images into sharp, focus-enhanced versions. Despite some limitations, such as resolution restrictions and the need for external upscalers, Umesh is impressed by the app's potential for both casual users and professionals, suggesting its integration with Photoshop or Lightroom for wider adoption.
Takeaways
- 🤖 The speaker, Umesh from Pixar, discusses a mind-boggling AI application for fixing extreme blur in photos.
- 📸 The AI can enhance an out-of-focus image by inventing details that were not captured originally.
- 👁️ The application uses a cloud-based system, possibly utilizing sample images to reconstruct the details.
- 🚀 The technology is capable of restoring old photos, bringing back details in faces that were lost over time.
- 🧐 The AI can also upscale low-resolution images, improving their quality significantly.
- 🎭 The speaker suggests that the AI could be a game-changer for professionals, especially in photo restoration and enhancement.
- 📷 The application has a limit of processing five images per day for free, with an option to pay for more.
- 💡 The speaker recommends using external upscalers to increase the resolution of the AI-enhanced images for better quality.
- 🎨 The AI's output can be integrated into professional workflows, but it may require additional steps and software.
- 🌐 The speaker expresses a desire for the AI to offer higher resolution exports for professional use.
- 💸 The AI's potential for monetization is highlighted, especially if it can meet the needs of professional users.
Q & A
What was Umesh's initial perception about mobile applications compared to desktop software programs?
-Umesh initially believed that desktop software programs were superior and were the standard for professional workflows, often neglecting the capabilities of mobile applications.
How did the AI application manage to enhance the out-of-focus face in the shallow depth of field image?
-The AI application used advanced algorithms and possibly a database of sample images to generate and fill in the details of the out-of-focus face, creating a sharp and clear result.
What is the main limitation of the AI application when it comes to exporting images?
-The main limitation is that the AI application does not export images in their full resolution. It seems capable of processing higher resolution images but limits the output to a certain extent, possibly for social media compatibility.
How did Umesh demonstrate the AI application's potential in image restoration?
-Umesh used an old photo of his parents graduating from art college to show how the AI application could enhance and bring out more details in the faces, even though the original photo was of relatively good quality.
What was the outcome when the AI application was tested on a very low-resolution image?
-The AI application managed to significantly improve the low-resolution image, adding details where there were none, although it did not perfectly recreate every aspect, such as the text on certificates.
How does the AI application perform in comparison with industry standards like Adobe Photoshop?
-Umesh was impressed by the AI application's ability to recover details from blurred images, suggesting that if such a feature were available in Photoshop, he would be the first to purchase it.
What practical use does Umesh suggest for the AI application in professional workflows?
-Umesh suggests that the AI application could be used to fix blurred images or restore portraits, potentially saving professionals a lot of time and effort.
What is Umesh's recommendation for users who need to process more than five images per day with the AI application?
-Umesh suggests that professional users who need to process a higher volume of images might consider paying for the AI application to avoid limitations and advertisements.
What is the name of the AI application that Umesh is reviewing?
-The AI application that Umesh is reviewing is called 'Remedy'.
How can the AI application's output resolution be improved?
-The AI application's output resolution can be improved by using external upscalers like Gigapixel AI, Image Larger, or other online upscalers to increase the resolution of the processed images.
Outlines
🤖 Introduction to Mobile App's Photo Enhancing Capabilities
Umesh from Pixar introduces the audience to a mobile application that challenges his previous belief that desktop software programs are superior for professional workflows. He shares his amazement with an AI-powered app that can enhance photos with shallow depth of field, focusing on details like faces that were originally out of focus. The app seems to invent details that the camera couldn't capture, which Umesh finds astounding and worthy of exploration in the video.
🎨 Restoring Old Photos and Enhancing Resolution
The video continues with Umesh demonstrating the app's ability to restore old photos and enhance their quality. He tests the app on a picture of his parents from 30 years ago, noting that while the app can add impressive details, it doesn't always get everything perfect, like lips and glasses. The app's magic lies in its sample images database, which it uses to fill in missing details. Umesh also pushes the app to its limits by testing it on a very low-resolution image, amazed by the results and considering the potential for professional use.
🌟 AI's Impact on Photo Restoration and Enhancement
Umesh delves deeper into the capabilities of the app, highlighting its potential for photo restoration and enhancement. He notes the app's ability to recover details in faces and improve the overall quality of images. Despite some limitations, such as exporting in full resolution, Umesh is excited about the possibilities AI brings to photo editing. He suggests that if the app were to release a Photoshop plugin, he would be among the first to purchase it.
📸 Practical Uses and Limitations of the Mobile App
Umesh discusses the practical applications of the app, such as restoring focus in blurry photos and enhancing portraits. He shares a technique for using the app to create a shallow depth of field effect in Photoshop by masking and painting details onto the image. While he finds the app incredibly useful, he acknowledges the challenges of integrating it into professional workflows due to the current limitations on resolution and the need to transfer images between devices.
💡 Final Thoughts and Recommendations
In the conclusion, Umesh reflects on the app's potential and offers recommendations for improvement, such as allowing higher resolution exports for professionals. He acknowledges the app's current limitations but sees its value, especially for non-professional users who don't need to process more than five images a day. He encourages the app developers to consider professional needs for wider adoption and concludes by thanking his supporters and encouraging viewers to stay tuned for more content.
Mindmap
Keywords
💡A.I.
💡Pixar
💡Depth of Field
💡Enhance
💡Resolution
💡Restoration
💡Unblur
💡Professional Workflow
💡Sample Images
💡Upscalers
💡Ads
Highlights
Umesh from Pixar shares his amazement with a mobile application that outperforms traditional desktop software in fixing extreme blur in photos.
The application uses AI to enhance details in out-of-focus areas, such as faces, by inventing details that were not originally captured.
A demonstration shows a before-and-after comparison of an image where the AI successfully adds details to the face that was initially out of focus.
The AI's ability to restore details is so impressive that Umesh considers it magic and wonders how the application accomplishes this feat.
The video explores the application's potential for professional use, including fixing poor quality selfies and restoring old photos.
In a test, the AI manages to bring back details in a low-resolution image, showcasing its capability to enhance images with very few original pixels.
Despite some limitations, such as not perfectly replicating certain facial features, the AI's results are still considered brilliant and postable.
The AI's restoration abilities are tested on an old photo of Umesh's parents, resulting in significant improvements in facial details and texture.
The application is praised for its potential to save professionals hours of work in unblurring and restoring images.
A practical application example is given, where the AI is used to bring focus back to blurred faces in a group photo.
Umesh expresses his desire for the AI application to have a desktop version or plugins for Photoshop and Lightroom.
The AI's output is limited to a certain resolution, but this can be overcome using external upscaling tools.
The video concludes with Umesh's recommendation of the application for individuals who do not need to process more than five images per day with the free version.
For professionals who deal with a higher volume of images, the paid version without ads might be a consideration.
Umesh calls for the application to allow for higher resolution exports, which would greatly benefit professionals and make the company a lot of money.
The video showcases the incredible potential of AI in image enhancement and restoration, and its practical applications in various scenarios.