Joint Degradation-Aware Arbitrary-Scale Super-Resolution for Variable-Rate Extreme Image Compression
#super-resolution #image compression #degradation-aware #arbitrary-scale #variable-rate #reconstruction #artifacts
📌 Key Takeaways
- Researchers propose a joint degradation-aware super-resolution method for extreme image compression.
- The approach handles arbitrary-scale super-resolution to reconstruct images from highly compressed data.
- It addresses variable-rate compression, adapting to different compression levels efficiently.
- The method integrates degradation awareness to improve reconstruction quality under severe compression artifacts.
📖 Full Retelling
arXiv:2603.17408v1 Announce Type: cross
Abstract: Recent diffusion-based extreme image compression methods have demonstrated remarkable performance at ultra-low bitrates. However, most approaches require training separate diffusion models for each target bitrate, resulting in substantial computational overhead and hindering practical deployment. Meanwhile, recent studies have shown that joint super-resolution can serve as an effective approach for enhancing low-bitrate reconstruction. However,
🏷️ Themes
Image Compression, Super-Resolution
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Original Source
arXiv:2603.17408v1 Announce Type: cross
Abstract: Recent diffusion-based extreme image compression methods have demonstrated remarkable performance at ultra-low bitrates. However, most approaches require training separate diffusion models for each target bitrate, resulting in substantial computational overhead and hindering practical deployment. Meanwhile, recent studies have shown that joint super-resolution can serve as an effective approach for enhancing low-bitrate reconstruction. However,
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