Research map / Image generation / Image restoration
Real-Time Adaptive Image Compression
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed learned codec instead of JPEG | Image compression · RAISE-1k 512×768, RGB, MS-SSIM 0.98 | file size (kb): 21.4 vs 65.3 | Helped |
| Use the proposed learned codec instead of JP2 | Image compression · RAISE-1k 512×768, RGB, MS-SSIM 0.98 | file size (kb): 21.4 vs 54.4 | Helped |
| Use the proposed learned codec instead of WebP | Image compression · RAISE-1k 512×768, RGB, MS-SSIM 0.98 | file size (kb): 21.4 vs 49.7 | Helped |
| Use the proposed learned codec instead of JPEG | Image compression · RAISE-1k 512×768, YCbCr, MS-SSIM 0.98 | file size (kb): 17.4 vs 43.6 | Helped |
| Use the proposed learned codec instead of JP2 | Image compression · RAISE-1k 512×768, YCbCr, MS-SSIM 0.98 | file size (kb): 17.4 vs 43.8 | Helped |
| Use the proposed learned codec instead of WebP | Image compression · RAISE-1k 512×768, YCbCr, MS-SSIM 0.98 | file size (kb): 17.4 vs 37.6 | Helped |
| Use the proposed learned codec instead of JPEG | Image compression · RAISE-1k 512×768 | encode time (ms): 8.6$^*$ vs 18.6 | Helped |
| Use the proposed learned codec instead of JP2 | Image compression · RAISE-1k 512×768 | encode time (ms): 8.6$^*$ vs 367.4 | Helped |
| Use the proposed learned codec instead of WebP | Image compression · RAISE-1k 512×768 | encode time (ms): 8.6$^*$ vs 67.0 | Helped |
| Use the proposed learned codec instead of JPEG | Image compression · RAISE-1k 512×768 | decode time (ms): 9.9$^*$ vs 13.0 | Helped |
| Use the proposed learned codec instead of JP2 | Image compression · RAISE-1k 512×768 | decode time (ms): 9.9$^*$ vs 80.4 | Helped |
| Use the proposed learned codec instead of WebP | Image compression · RAISE-1k 512×768 | decode time (ms): 9.9$^*$ vs 83.7 | Helped |
Closest papers by meaning
- Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks (CVPR 2018 · similarity 0.90)
- Practical Full Resolution Learned Lossless Image Compression (CVPR 2019 · similarity 0.90)
- How To Exploit the Transferability of Learned Image Compression to Conventional Codecs (CVPR 2021 · similarity 0.89)
- Lossy Image Compression with Compressive Autoencoders (ICLR 2017 · similarity 0.89)
- What Matters in Practical Learned Image Compression (CVPR 2026 · similarity 0.89)
- Towards image compression with perfect realism at ultra-low bitrates (ICLR 2024 · similarity 0.88)
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