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Binarized Spectral Compressive Imaging
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace vanilla 1-bit convolution with BiSR-Conv (ablation) | binarized base model · KAIST simulation | PSNR (dB): 23.90 -> 27.80 | Helped |
| use the four binarized modules (BiDS, BiUS, BiFD, BiFU) instead of normal binarized modules (ablation) | BiSRNet · KAIST simulation | PSNR (dB): 27.80 -> 29.76 | Helped |
| add spectral redistribution (SR) to BiSR-Conv (ablation) | Baseline-2 · KAIST simulation | PSNR (dB): 27.68 -> 28.97 | Helped |
| add Tanh(alpha x) Sign approximation (ablation) | Baseline-2 · KAIST simulation | PSNR (dB): 27.68 -> 28.74 | Helped |
| combine SR and Tanh(alpha x) (ablation) | Baseline-2 · KAIST simulation | PSNR (dB): 27.68 -> 29.76 | Helped |
| replace Clip(x) with Tanh(alpha x) for backward Sign approximation (ablation) | BiSRNet · KAIST simulation | PSNR (dB): 28.97 -> 29.76 | Helped |
| replace Quad(x) with Tanh(alpha x) for backward Sign approximation (ablation) | BiSRNet · KAIST simulation | PSNR (dB): 29.02 -> 29.76 | Helped |
| binarize only the bottleneck vs full-precision model (ablation) | base model · KAIST simulation | PSNR (dB): 34.11 -> 33.80 | Hurt |
| binarize only the decoder vs full-precision model (ablation) | base model · KAIST simulation | PSNR (dB): 34.11 -> 33.03 | Hurt |
| BiSRNet vs best prior BNN BTM | 1-bit HSI reconstruction · KAIST simulation | avg PSNR (dB): 27.21 -> 29.76 | Helped |
Closest papers by meaning
- In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging (CVPR 2024 · similarity 0.87)
- HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models (CVPR 2024 · similarity 0.87)
- SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction (CVPR 2024 · similarity 0.87)
- Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms (NeurIPS 2024 · similarity 0.87)
- Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging (AAAI 2025 · similarity 0.86)
- Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging (AAAI 2024 · similarity 0.86)
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