NOTE Encoder was Frozen Using this VAE for Training should not effect outcome
Overview
This repository contains evaluation results for a MiniMax Image HDR VAE (High Dynamic Range Variational Autoencoder) designed for MiniMax-H3 image reconstruction and enhancement workflows.
The HDR VAE is evaluated against the BASE MiniMax Image VAE using a multi-domain reconstruction analysis covering:
- perceptual similarity
- structural energy enhancement
- color distribution changes
- saturation enhancement
- sharpness and high-frequency detail
- channel-level color differences
The objective is not only to measure pixel reconstruction accuracy, but to evaluate how the VAE enhances image characteristics through the encode/decode pipeline.
Image Enhancement
Measured through reconstruction comparisons:
- RGB pixel deviation
- saturation changes
- gradient energy
- sharpness retention
- contrast gain
- high-frequency energy
- perceptual color difference (DeltaE)
These evaluate how reconstruction changes image detail, color intensity, sharpness, and structural information.
Results Summary
BASE MiniMax Image VAE vs HDR VAE
| Metric | BASE MiniMax VAE | HDR VAE |
|---|---|---|
| PSNR ↑ | 32.4389 | 28.4966 |
| SSIM ↑ | 0.87133 | 0.87810 |
| RGB MAE ↓ | 0.015623 | 0.028214 |
| Saturation MAE ↓ | 0.034885 | 0.091786 |
| Gradient Energy Retention | 0.98014 | 1.05029 |
| Sharpness Retention | 0.96952 | 0.91151 |
| Contrast Retention | 1.01329 | 1.00179 |
| High-Frequency Retention | 0.96159 | 1.04110 |
| DeltaE ↓ | 2.7502 | 7.0100 |
Interpretation
The BASE MiniMax Image VAE achieves lower pixel reconstruction error and DeltaE, indicating closer numerical agreement with the original input.
The HDR VAE demonstrates a different reconstruction profile:
- increased gradient energy
- increased high-frequency energy
- higher structural similarity
- stronger saturation changes
- enhancement-oriented reconstruction behavior
The HDR VAE behaves as an enhancement-oriented reconstruction operator rather than a pixel-preservation model, producing measurable changes to image characteristics during reconstruction.
Design Goal
The HDR VAE is designed to improve image characteristics that standard VAEs commonly soften or reduce:
- fine texture
- high-frequency detail
- local contrast
- color variation
- edge definition
- perceived sharpness
Rather than optimizing only for pixel-level similarity, the HDR VAE emphasizes image enhancement through decoder fine-tuning.
Conclusion
The evaluation demonstrates two different reconstruction profiles:
BASE MiniMax Image VAE
- lower PSNR error
- lower RGB reconstruction error
- lower DeltaE
- stronger numerical color preservation
- more faithful pixel reconstruction
HDR MiniMax Image VAE
- higher SSIM
- increased gradient energy
- increased high-frequency energy
- enhancement-oriented reconstruction
- greater image characteristic variation
The HDR VAE provides an enhancement-oriented reconstruction profile for users seeking increased structural information, richer image characteristics, and enhanced visual detail rather than strict pixel-perfect reconstruction.
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