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Perceptual Distortion for Overfitted Video Coding: Sliced Matching in Space, Error Alignment in Time — arXiv:2611.07148

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.07148
License (as archived): CC0-1.0
Archived: 2026-11-06T14:53:17.710Z
SHA-256 of the archived text: d5cc0b293a5ab59860980b76d3ca17b35ffd22b3608348b01a61f3a4d7608131
Stable URL of this page: https://metraipolis.com/documento/dc_613c7e80ddee

How to cite

Perceptual Distortion for Overfitted Video Coding: Sliced Matching in Space, Error Alignment in Time — arXiv:2611.07148 — arXiv (en), https://arxiv.org/abs/2611.07148 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_613c7e80ddee (Metraipolis archive dc_613c7e80ddee, sha256 d5cc0b293a5ab59860980b76d3ca17b35ffd22b3608348b01a61f3a4d7608131)

BibTeX

@misc{dc613c7e80ddee,
  title = {Perceptual Distortion for Overfitted Video Coding: Sliced Matching in Space, Error Alignment in Time — arXiv:2611.07148},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.07148},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_613c7e80ddee; sha256 d5cc0b293a5ab59860980b76d3ca17b35ffd22b3608348b01a61f3a4d7608131},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.07148. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Recent works in neural video coding have increasingly been trading off perceptual quality against reconstruction fidelity at a fixed bitrate. Wasserstein Distortion (WD) offers a principled approach to balancing these objectives by relaxing spatial correspondences in feature matching, enabling lightweight overfitted image codecs to compete with computationally intensive generative decoders. Extending vanilla WD to video, however, presents two challenges: its independent Gaussian approximation limits the expressiveness of feature distribution matching, while unconstrained texture resampling across frames introduces temporal inconsistencies. We address these challenges by distinguishing between the correspondences that can be relaxed and those that must be preserved. Spatially, we introduce a local sliced Wasserstein distortion (SWD) that matches empirical feature distributions through one-dimensional optimal transport, capturing cross-channel dependencies without enforcing exact spatial alignment. Temporally, we employ a novel flow residual that constrains coding errors along motion trajectories, preserving temporal consistency without imposing additional reconstruction fidelity constraints. Evaluated on UVG and HEVC Class B with the overfitted codec COOL-CHIC, our framework achieves BD-rate reductions of 9.2% in DISTS and 3.0% in LPIPS relative to frame-wise WD, averaged over test sequences, while lowering tOF by 10.2% at matched rate.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.CV, nuovi lavori del giorno).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2611.07148 — 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 2026-11-06T14:25:42.605Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).