Research map / Image generation / Fast diffusion sampling
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add Gaussianization layers (ICA + 1D Gaussianization) to latent reparameterization | StyleGAN2 CS-MRI · CS-MRI Accl=8x SNR=20 dB | PSNR: 27.99 vs 26.93 spherical | Helped |
| Add Gaussianization layers to latent reparameterization | StyleGAN2 CS-MRI · CS-MRI Accl=8x SNR=10 dB | PSNR: 25.48 vs 22.78 spherical | Helped |
| Add Gaussianization layers to latent reparameterization | StyleGAN2 CS-MRI · CS-MRI Accl=2x SNR=20 dB | PSNR: 32.41 vs TV 32.92 | No clear effect |
| Add Gaussianization layers to latent reparameterization | Glow deblurring · CelebA-HQ deblurring | LPIPS: 0.13 vs 0.17 spherical | Helped |
| Add Gaussianization layers to latent reparameterization | StyleGAN2 eikonal tomography · eikonal tomography | PSNR: 24.80 vs 22.19 spherical | Helped |
| Add ICA layer (orthogonal decorrelation of patch entries) to Gaussianization pipeline (ablation) | StyleGAN2 CS-MRI · CS-MRI Accl=8x SNR=20 dB | PSNR: 27.91 vs 26.93 with no components | Helped |
| Add ZCA/whitening layer alone without ICA (ablation) | StyleGAN2 CS-MRI · CS-MRI Accl=8x SNR=20 dB | PSNR: 27.08 vs 26.93 | No clear effect |
| Add Yeo-Johnson 1D Gaussianization on top of ICA (ablation) | StyleGAN2 CS-MRI · CS-MRI Accl=8x SNR=10 dB | PSNR: 25.48 vs 25.22 (ICA only) | Helped |
| Add Lambert W x F_X 1D Gaussianization on top of ICA (ablation) | StyleGAN2 CS-MRI · CS-MRI Accl=8x SNR=10 dB | PSNR: 25.57 vs 25.22 (ICA only) | Helped |
| Add ICA layer to Glow Gaussianization (P2) (ablation) | Glow deblurring · CelebA-HQ deblurring | LPIPS: 0.14 vs 0.17 without components | Helped |
| Add 1D Gaussianization (YJ or Lambert) on Glow beyond ICA (ablation) | Glow deblurring · CelebA-HQ deblurring | PSNR: 22.40 to 22.52 range among ICA-containing variants | No clear effect |
| Increase patch size of style vectors from 8 to 64 (ablation) | StyleGAN2 CS-MRI (ICA+standardization) · CS-MRI Accl=8x SNR=20 dB | PSNR: 28.03 at 64 vs 25.33 at 8 | Helped |
Closest papers by meaning
- pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization (NeurIPS 2024 · similarity 0.87)
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- Gradient-free Decoder Inversion in Latent Diffusion Models (NeurIPS 2024 · similarity 0.85)
- Sparse Bayesian Generative Modeling for Compressive Sensing (NeurIPS 2024 · similarity 0.85)
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