arXiv (OAI Expanded)
open access
Efficient JPEG Restoration in the Wavelet Domain via Mean Flows
Latest JPEG restoration systems achieve strong quality with large models, yet often remain too slow and expensive for efficient on-device deployment. We present a 65M-parameter generative restorer that attains the lowest LPIPS at QF 10 and 20 on LIVE-1, Urban100, and DIV2K-val while sustaining 8.05
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Efficient JPEG Restoration in the Wavelet Domain via Mean Flows#792976
- VoRTeC: Taming Foundation Flow for One-step Real time Video Compression#925268
- VoRTeC: Taming Foundation Flow for One-step Real time Video Compression#921032
- DiffVC-ONE: Diffusion-based Generative Video Compression with One-Step Video Diffusion Transformer#659081
- DiffVC-ONE: Diffusion-based Generative Video Compression with One-Step Video Diffusion Transformer#656945
Record · ID 788972
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive