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PBSR: Pseudo-Burst Super-Resolution via Zero-Shot Novel View Synthesis — arXiv:2610.41258

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.41258
License (as archived): CC0-1.0
Archived: 2026-11-02T05:04:33.413Z
SHA-256 of the archived text: 6468ae09fe2df288834d6f0b15acf2783c268c6b2f8bd148141e4ec87d63bb86
Stable URL of this page: https://metraipolis.com/documento/dc_53aeaabc2aa7

How to cite

PBSR: Pseudo-Burst Super-Resolution via Zero-Shot Novel View Synthesis — arXiv:2610.41258 — arXiv (en), https://arxiv.org/abs/2610.41258 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_53aeaabc2aa7 (Metraipolis archive dc_53aeaabc2aa7, sha256 6468ae09fe2df288834d6f0b15acf2783c268c6b2f8bd148141e4ec87d63bb86)

BibTeX

@misc{dc53aeaabc2aa7,
  title = {PBSR: Pseudo-Burst Super-Resolution via Zero-Shot Novel View Synthesis — arXiv:2610.41258},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.41258},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_53aeaabc2aa7; sha256 6468ae09fe2df288834d6f0b15acf2783c268c6b2f8bd148141e4ec87d63bb86},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.41258. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Burst super-resolution (BSR) achieves higher reconstruction fidelity than single-image super-resolution (SISR) by aggregating sub-pixel information from multiple frames. However, it requires a burst of frames captured under near-static conditions, and such frames are unavailable for single photographs or archival images. We propose Pseudo-Burst Super-Resolution (PBSR), which brings BSR-style reconstruction to the single-image input setting by synthesizing pseudo-burst frames via zero-shot novel view synthesis (NVS). PBSR first generates pseudo-burst frames with realistic parallax using a viewpoint sampling strategy calibrated to the pixel-shift distribution of real burst datasets. The frames are then processed by a BSR backbone equipped with a geometry-aware alignment module that reuses the NVS camera parameters and estimated depth. While the NVS stage is zero-shot, the backbone is fine-tuned with an artifact-aware adaptation so that it can exploit the synthesized frames despite their generative artifacts. Experiments on the BurstSR dataset show that PBSR consistently improves in PSNR, SSIM, and LPIPS over the single-frame baseline with the same reconstruction backbone.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.CV, nuovi lavori del giorno).
Categorie arXiv: Image and Video Processing (eess.IV) ; Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2610.41258 — 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 2026-11-02T04:49:13.291Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).