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Technicalities Behind Image Relighting

Technicalities Behind Image Relighting

ClipDrop Image Relighting App​We have recently introduced 💡 our image relighting AI application 💡 allowing you to apply professional lights to your images 📸 in real time ⚡. With this app, you can turn your image into a magic with no background in professional digital photography. In this blog, we will be explaining the technical details behind the app. The Key Components: Depth Map & Surface Normals​In order to add new light sources and relight the image in a visually appealing way, the illumination needs to be physically (almost) correct. For example, the image below (obtained by our relight app) shows how the image should look when we add a light source on the right. As can be seen, one half of the face is darker, since the other half blocks the light rays coming from the new light source.One way to achieve the physically correct relighting is to make use of depth maps and surface normals. The depth map is a gray-scale image that contains the information of how far or how near each pixel in the image is. The middle image below shows the depth map predicted by ClipDrop Depth Estimation Model, where bright and dark pixels respectively represent near and far points in the image.The surface normal map is an image that encodes the normal vector of each pixel in R (red), G (green), B (blue) channels. The surface normals are crucial to determine how the image pixels should to be enlightened. For example, an image pixel having a normal vector parallel to the light ray receives no light, whereas a pixel with a normal vector perpendicular to the light ray receives strong light. More details on normal mapping can be found on the wikipedia page. Below you can see the input image and the surface normal map predicted by Clipdrop Surface Normal Estimation Model.Once highly accurate depth and surface normal maps are predicted, they can be used to compute the illumination by common reflection models such as Lambertian or Phong. The main challenge here is predicting high quality depth and surface normal maps from a single image, which is referred to as monocular depth & normal estimation in the literature.A line of great research has been recently conducted to tackle these specific problems. MiDaS and its variant are the two state-of-the-art methods for monocular depth estimation. EPFL-VILAB has also recently introduced their monocular depth and normal prediction models trained on their omnidata dataset.One way for depth & normals prediction is to use the existing methods.While manual annotation for certain fundamental machine learning / computer vision tasks such as image classification, segmentation, etc. is relatively easy, collecting highly accurate annotations for very specific tasks like monocular depth and normal estimation is a big hassle.Synthetic data is another alternative for training machine learning models, especially when tackling the problems for which collecting annotations is extremely demanding. At ClipDrop, we extensively use synthetic data to solve challenging AI problems. We have recently built a human dataset containing thousands of diverse human models with a high variety of clothes, poses, body types, facial expressions, facial & body hair, and many more. We also have hundreds of both indoor and outdoor environments with different lighting and weather conditions.  » Read More

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Let's talk about Web Design

The term "web design" describes the layout of websites that are seen online. Instead of software development, it typically refers to the user experience components of website development. The primary focus of web design used to be creating websites for desktop browsers, but from the middle of the 2010s, designing for mobile and tablet browsers has gained significance.

What is a webdesigner?

A web designer is responsible for a website's look, feel, and occasionally even content. For instance, appearance refers to the colors, text, and images utilized. Information's organization and categorization are referred to as its layout. An effective web design is user-friendly, aesthetically pleasing, and appropriate for the target audience and brand of the website. Many websites focus on keeping things simple so that viewers won't be distracted or confused by additional information and functionality. Removing as many potential sources of user annoyance as possible is a crucial factor to take into account because the foundation of a web designer's output is a site that gains and nurtures the trust of the target audience.

Responsive and adaptive design are two of the most popular techniques for creating websites that function well on both desktop and mobile devices. In adaptive design, the website content is fixed in layout sizes that correspond to typical screen sizes, while in responsive design, information moves dynamically based on screen size. A layout that is as consistent as possible across devices is essential to preserving user engagement and trust. Designers must be cautious when giving up control of how their work will appear because responsive design can be challenging in this area. While they might need to diversify their skill set if they are also in charge of the content, they will benefit from having complete control over the final output.

What does a web design worker do?

A web designer is a member of the IT industry who is in charge of planning a website's structure, aesthetic appeal, and usability.

A skilled site designer must possess both technical know-how and creative graphic design abilities. They must be able to envision how a website will seem (its graphical design) and how it will operate (conversion of a design into a working website).

The terms web developer and designer are frequently used interchangeably but erroneously. In order to construct more complex interactions on a website, such as the integration with a database system, a web developer is frequently more likely to be a software developer who works with programming languages.