Zero-Shot Material Transfer from a Single Image
low light image enhance
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zhangshi
A demo of HVI-CIDNet
Edit image brightness and apply various filters
Edit and enhance photos easily
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Enhance low-light images using a predefined model
ZeST is a zero-shot material transfer AI tool designed to change the lighting in a photo. It allows users to apply materials and lighting effects to images without requiring multiple examples or extensive training data. ZeST leverages advanced AI techniques to deliver realistic and context-appropriate results, making it a powerful tool for photographers, graphic designers, and content creators.
• Real-Time Interaction: Adjust lighting and materials in real-time to see immediate results.
• AI-Powered Processing: Uses cutting-edge AI algorithms to analyze and modify image lighting based on context.
• User-Friendly Interface: Intuitive design that simplifies the process of applying lighting changes.
• Non-Destructive Editing: Make changes without altering the original image file.
• Customizable Options: Fine-tune lighting cues and material properties to achieve desired effects.
• Multi-Platform Support: Compatible with various devices and operating systems.
• Batch Processing: Apply lighting changes to multiple images at once for efficiency.
• Regular Updates: Continuous improvements and new features added to enhance functionality.
What makes ZeST unique?
ZeST stands out because it uses zero-shot learning, meaning it doesn't require pre-training on specific datasets to apply materials and lighting. This allows it to adapt to a wide variety of images and scenarios.
Can I use ZeST for professional photography?
Absolutely! ZeST is designed to be professional-grade, offering precise control over lighting and materials. It is ideal for photographers who need to enhance or alter the lighting in their images quickly and efficiently.
Is ZeST available on mobile devices?
Yes, ZeST is cross-platform, including support for mobile devices. This allows you to edit images on-the-go and switch seamlessly between devices.