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New framework generates HDR video from SDR footage using generative models

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework to convert standard dynamic range (SDR) videos into high dynamic range (HDR) videos. This approach utilizes large-scale generative video models, including a Multi-Exposure Video Model (MEVM) to predict exposure-bracketed SDR sequences from a single SDR input. A subsequent Video Merging Model (VMM) then combines these sequences to create a high-quality HDR video, preserving details in both bright and dark areas. The method has shown robust performance on various video types, from casual footage to films, and can integrate with existing SDR generative video pipelines. AI

IMPACT Enables conversion of legacy video content to HDR, potentially improving viewing experiences and expanding the utility of existing video libraries.

RANK_REASON Research paper detailing a new technical approach to video processing. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework generates HDR video from SDR footage using generative models

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Research paper detailing a new technical approach to video processing. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · SaiKiran Tedla, Francesco Banterle, Trevor Canham, Karanpreet Raja, David B. Lindell, Kiriakos N. Kutulakos, Jiacheng Li, Feiran Li, Daisuke Iso ·

    Generating HDR Video from SDR Video

    arXiv:2605.14703v2 Announce Type: replace Abstract: The high dynamic range (HDR) video ecosystem is approaching maturity, but the problem of upconverting legacy standard dynamic range (SDR) videos persists without a convincing solution. We propose a framework for HDR video synthe…

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