A Unified Solution to Video Fusion: From Multi-Frame Learning to Benchmarking

NeurIPSSpotlight2025

Authors
Zixiang Zhao, Haowen Bai, Bingxin Ke, Yukun Cui, Lilun Deng, Yulun Zhang, Kai Zhang, Konrad Schindler
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

The real world is dynamic, yet most image fusion methods process static frames independently, ignoring temporal correlations in videos and leading to flickering and temporal inconsistency…

Opening excerpt from the authors’ abstract. source

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Topics

benchmark video

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