Face Restoration: AI Face Restoration and Face Enhancement

Imagine you have an old video of you and your parents as a memorial or one of your videos got corrupted, resulting in face blurriness and haziness. Human facial features get degraded in a digital video due to multiple factors such as low lighting, lossy compression, poor camera results, and corruption due to malware or bugs. Whatever the cause, AI Face Restoration is the solution. AI-based video enhancement, especially face restoration and improvement and face refinement, is trending. Multiple tools are available to ensure that artificial intelligence can restore the damage caused by facial elements. This guide will explain the basic concept of face restoration and enhancement and provide a reliable tool, AnyEnhancer, to boost facial details. Let’s delve into the details!

What Is Face Restoration & Face Enhancement?

Face restoration and enhancement is a technique to improve facial features and eliminate blurry, hazy, and noisy appearance. Innovations have always been a part of the digital photo and video industry, and that’s the same case for Face restoration models. Face restoration and enhancement technology have also been upgraded recently. With the use of artificial intelligence and deep learning network technology, facial recognition has become easier. AI face enhancer software will analyze, identify, and compare the distorted and original face images. With the help of diverse mapping, this technology will be able to restore the original facial elements and remove the blur, noise, and grain from the video.

• Technologies Utilized for Face Restoration: Different technologies and methods are employed for face restoration and enhancement in the digital industry, including the Generative Facial Prior GAN (GFP-GAN) and CodeFormer.
• GFP-GAN—Face restore AI technology is further comprised of two main elements. One element is the degradation removal module, which eliminates the degradation effect, while the other is face GAN, which improves facial features.
• CodeFormer— This is the most advanced face restoration technology that can use deep learning to analyze and mend defects such as blurs or scratches on a face in a video.

What Causes the Degradation of Facial Images

There can be multiple reasons for the degradation of facial images or videos, including shaky footage, blurriness, compression, poor lighting, and more. These causes can turn even sharp facial features into blurry appearance. Let’s look at some of the reasons why your face looks degraded or distorted in videos:

• Shaky Footage— Sometimes, the subject might not be still or move faster. Therefore, it is difficult for a camera device to focus on the subject, and the face might get blurred.
• Poor Quality Equipment— A poor-quality camera device can often make the faces look blurry or hazy. This is because the low-resolution video or the camera is handheld, causing shakiness while shooting the footage.
• Poor Lighting — Another reason the facial elements look blurry and noisy is the poor lighting. Shooting indoors without sufficient lighting and proper setup, you’ll see a lot of shadows of the subject. Thus, the camera will have to reduce the shutter speed to let more light enter the lens, which can also result in blurry shots.
• Compression Artifacts— To improve the video transmission speed and reduce the overall size, you might need to compress the video file, which can greatly reduce the quality.
• Encoding and Decoding— Encoding or decoding videos into a lower bitrate can induce certain defects such as blurriness, noise, and other visual artifacts, especially in facial regions.

All in all, certain factors associated with capturing, transmission, conversion, and even editing processes can induce visual artifacts in digital videos, which can cause degradation of facial elements.

How to Do Face Restoration for Videos with AI [Best Way]

AnyEnhancer is AI-based face restoration and video enhancement software that allows content creators, lawyers, scientists, and even a novice user to upscale videos to the highest possible quality without losing details. AnyEnhancer has multiple AI models to boost the quality of video. Face Restoration models can meticulously analyze and enhance facial details, expressions, and features. The model ensures that you’ll get sharp facial features with preserved real emotion and feeling. Moreover, this AI-based model can reduce noise and grain, particularly in the facial regions.

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The Resolution Enhancement model can upscale the video from 360p or 480p to 4K in a single click. The Intelligent Enhancement model can combine face restoration and video upscaling effects to generate visually sharp and improved video footage.

Key Features 

• Face Restoration AI model can sharpen the facial elements and remove the distortion and blur.
• Fill your black and white footage with lifelike colors via the Colorize AI model and improve saturation, brightness, and contrast via Color Enhancement.
• The Denoise model can eliminate pixelated footage‘s noise, grain, and visual artifacts.
• Frame Interpolation can smoothen the frame transitions and optimize the FPS by 4X.

Step 1. Download, install, and launch AnyEnhancer on your PC. Once done, click “Add Video” to import the pixelated clip with a blurry and noisy face appearance.

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Step 2. Choose the “Face Restoration” AI model to analyze and detect visual artifacts and eliminate noise, grain, blemishes, and more.

Step 3. Click on “Preview” to compare the results before and after applying the AI model. You can choose the duration from 3 seconds to 5 seconds.

Step 4. Click on “Export” to save the enhanced video with sharp facial details. You can alter the name, save the location, format, and more from the export settings page.

The Use Cases of Face Restoration & Enhancement

Face restoration and enhancement techniques can be utilized in various sectors, such as entertainment, media, law enforcement, forensics, etc. Being able to recognize the identity or see the sharp and clear facial elements are the aims of this latest technology. Let’s examine the cases of face restoration and enhancement and how they are helping the digital media industry convert pixelated and poorly visible faces into sharp details.

Restore Blur Faces

Deep learning technology can analyze, detect, and compare blurred and distorted faces with the original quality. Then models like Generative Adversarial Networks (GANs) can reconstruct the facial elements by reducing the blur.

Remove Pixelation

Super-resolution technologies such as bicubic interpolation can reduce the pixelation artifacts and give your image a new and sharp look. The tools can also adjust the sharpness level of the faces in a video.

Recover Details from Low-Resolution Images

Various face enhancement models, such as feature-based interpolation, can analyze and revive the missing details in a low-resolution video.

Eliminate Noise to Enhance Facial Details 

Old or grainy videos are of no use! Face restoration tools also feature noise reduction technologies such as Gaussian filtering to remove the noise and highlight the facial features to give them a sharp look.

Removes Blemishes

AI Face restoration models have multiple de-blurring algorithms such as Richardson-Lucy deconvolution and more to remove the blemishes, acne, marks, scratches, and more from the face.

FAQs on Face Restoration and Face Enhancement

What is Face Enhancement?

Face restoration and enhancement is repairing damaged facial parameters with the help of advanced AI technology and highlighting/sharpening the face details.

Which AI tools can be used for Face Enhancement?

Multiple tools and techniques are available to enhance facial details and expressions. However, we recommend using AnyEnhancer’s Face Restoration AI model, which can boost the quality of a video, especially the facial region, while keeping the noise and grain at a minimum.

Final Words

Have you got a degraded video with a blurry face or noisy appearance? AI face restoration models can help you enhance the facial structure and sharpen the facial parameters while reducing blur, haze, and noise. Among various tools, AnyEnhancer stands out the most due to its Face Restoration AI model, which can reduce distortion while highlighting face details with a single click.