Compute normals for images and videos
Enhance and upscale images, especially faces
Complete depth for images using sparse depth maps
Search images by text or upload
Extract text from images
ACG Album
Apply ZCA Whitening to images
Extract text from images using OCR
Generate flow or disparity from two images
Extract image sections by description
Analyze images to generate captions, detect objects, or perform OCR
Estimate depth from images
Visual Retrieval with ColPali and Vespa
StableNormal is an AI-powered tool designed to compute normals for images and videos. It leverages advanced algorithms to generate high-quality normal maps, which are essential for various applications in computer vision, graphics, and image processing. Normal maps provide detailed information about the orientation of surfaces in an image, enabling tasks like 3D reconstruction, relighting, and texture mapping.
• Image and Video Support: StableNormal works seamlessly with both images and videos, allowing users to process individual frames or entire clips.
• RGB Data Processing: The tool processes RGB data to infer surface orientations, eliminating the need for specialized hardware.
• High-Quality Output: Generates detailed and accurate normal maps that preserve fine geometric details.
• Flexible and Efficient: Optimized for performance, StableNormal can handle various resolutions and frame rates while maintaining quality.
What file formats does StableNormal support?
StableNormal supports common image formats like PNG, JPG, and BMP, as well as video formats such as MP4 and AVI.
Can I use StableNormal for real-time applications?
Yes, StableNormal is optimized for efficiency and can be integrated into real-time applications, though performance may vary depending on resolution and hardware.
How do I interpret the colors in the normal map?
The colors in the normal map represent the orientation of surfaces in 3D space. Red, green, and blue channels correspond to the X, Y, and Z axes, respectively, allowing for precise surface orientation analysis.