Research map / Probabilistic and scientific modeling / Variational and generative sampling
Variational Bayesian Quantization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 22.015 -> 23.595 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 26.658 -> 29.226 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 26.201 -> 30.664 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 21.331 -> 22.177 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 26.543 -> 29.584 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 26.6 -> 29.523 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 26.247 -> 28.77 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 25.389 -> 29.006 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 26.976 -> 31.425 | Helped |
| Replace JPEG with Variational Bayesian Quantization at the same bitrate | Image compression · Kodak image example | PSNR: 22.562 -> 24.254 | Helped |
Closest papers by meaning
- Hierarchical Quantized Autoencoders (NeurIPS 2020 · similarity 0.91)
- SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization (ICML 2022 · similarity 0.90)
- Improving Inference for Neural Image Compression (NeurIPS 2020 · similarity 0.90)
- Compression with Bayesian Implicit Neural Representations (NeurIPS 2023 · similarity 0.89)
- Robustly overfitting latents for flexible neural image compression (NeurIPS 2024 · similarity 0.88)
- Progressive Compression with Universally Quantized Diffusion Models (ICLR 2025 · similarity 0.88)
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