Hello everyone, welcome to today’s tech sharing! 🎉
Today, I’m excited to introduce a powerful tool—UniFab HDR Upconverter AI, which intelligently converts regular SDR videos into high-quality HDR10 videos with just one click.
🔗 Article Link: UniFab HDR Upconverter AI|Technical Principle
Leveraging advanced AI technology, it delivers wider dynamic range, richer colors, and finer details, giving your videos a whole new visual experience.
📚 The Core Principles of UniFab SDR to HDR
Deep Learning Model Architecture
UniFab combines multi-scale CNNs and conditional GANs to achieve high-quality SDR-to-HDR mapping, accurately restoring brightness and color details.
Multi-task Loss Functions
UniFab employs multi-task loss functions to jointly optimize pixel accuracy, structural consistency, visual perception, and color fidelity, ensuring natural and high-quality SDR-to-HDR enhancement.
Brightness and Color Dynamic Expansion Algorithm
Through adaptive tone mapping, color gamut expansion, and local contrast enhancement, UniFab enhances brightness distribution, color range, and visual details in multi-level and multi-dimensional ways, ensuring rich and natural HDR images.
Dataset and Training Strategies
UniFab utilizes high-quality paired supervised data, unsupervised CycleGAN frameworks, and multidimensional data augmentation to build diverse training systems, improving model generalization and HDR conversion accuracy in complex environments.
✨UniFab SDR to HDR Highlights
Diverse Model Conversion
UniFab HDR Upconverter AI integrates four deep learning models targeted at different resolutions, delivering outstanding image quality and smooth visual transitions through dynamic range expansion, color mapping, and detail restoration.
Support for Two Major HDR Color Spaces
UniFab supports the leading HDR DCI-P3 and Rec.2020 color spaces, achieving precise color mapping and dynamic range expansion with deep learning, combined with color fidelity techniques for consistent visuals.
Improved Processing Speed
UniFab optimized version 3027 with architecture and operator-level enhancements to boost inference speed for real-time HDR conversion of high-res videos. This achieves efficient SDR-to-HDR mapping without compromising HDR quality.
Below are performance results and key techniques from tests on a 9-minute 57-second, 24fps video across various GPUs.
🎥 Learn More in Our Video
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