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PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding — arXiv:2609.09020

Source
arXiv (en)
Original
https://arxiv.org/abs/2609.09020
License (as archived)
CC0-1.0
Archived
2026-10-16T15:12:31.663Z
SHA-256 of the archived text
66cbad66bed7cb8c3d1e6fbf9f3d6b1c494f2354da4b9503ec5804555687452e
Stable URL of this page
https://metraipolis.com/documento/dc_00fa0469847f

How to cite

PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding — arXiv:2609.09020 — arXiv (en), https://arxiv.org/abs/2609.09020 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_00fa0469847f (Metraipolis archive dc_00fa0469847f, sha256 66cbad66bed7cb8c3d1e6fbf9f3d6b1c494f2354da4b9503ec5804555687452e)
BibTeX
@misc{dc00fa0469847f,
  title = {PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding — arXiv:2609.09020},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.09020},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_00fa0469847f; sha256 66cbad66bed7cb8c3d1e6fbf9f3d6b1c494f2354da4b9503ec5804555687452e},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.09020. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Implicit neural representation (INR) has achieved remarkable progress in novel view synthesis and image/video coding in recent this http URL to conventional end-to-end image codecs, INR-based compressors demonstrate significant advantages in decoding complexity. However, their practical application has been hindered by the inferior encoding speed and underutilized decoding this http URL this work, we propose a feedforward INR image coding architecture, Practical INR Image Codec (PIC), that computes all the necessary information for INR network in a single forward pass, achieving an encoding speed of 20 FPS. Additionally, we implement a highly optimized decoder that reaches 2000 FPS decoding speed, significantly surpassing JPEG's performance at comparable rate-distortion (RD) performance. To the best of our knowledge, this work presents the first learning-based image codec that simultaneously outperforms or is comparable with JPEG in both RD performance and decoding speed while maintaining practical encoding speed. Code is available at this https URL .

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-09-09 in cs.CV).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2609.09020 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T14:49:57.385Z dalla pagina https://arxiv.org/catchup/cs.CV/2026-09-09?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).