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Recurrent Dynamic Range Extension

Paper recorded by Signals 4 on 2026-09-11 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-11 on arXiv · recorded by Signals 4 on 2026-09-14

Category: cs.CV · 计算机视觉 · first seen 2026-09-14

Abstract

We present an approach to progressively extend the highlights of an image. Instead of reconstructing the full dynamic range of a complex scene directly, we learn a simpler task first: We extend the dynamic range of an input image by a single exposure value. Once this is mastered, we retrieve the full HDR image for the scene by executing our network recurrently, progressively increasing the dynamic

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#63 most recent of 237 cs.CV papers we have recorded · ↑ newer: SNAP3D: Physically Grounded 3D Parts for Assembly from a Single Image · ↓ older: SV-Cine: Diagnosis-Conditioned Segmentation of Single Ventricle Physio
Cite this page: Recurrent Dynamic Range Extension: the #63 most recent of 237 cs.CV papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/recurrent-dynamic-range-extension.html
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