AI RESEARCH
LoCAtion: Long-time Collaborative Attention Framework for High Dynamic Range Video Reconstruction
arXiv CS.CV
•
ArXi:2603.14377v1 Announce Type: new Prevailing High Dynamic Range (HDR) video reconstruction methods are fundamentally trapped in a fragile alignment-and-fusion paradigm. While explicit spatial alignment can successfully recover fine details in controlled environments, it becomes a severe bottleneck in unconstrained dynamic scenes. By forcing rigid alignment across unpredictable motions and varying exposures, these methods inevitably translate registration errors into severe ghosting artifacts and temporal flickering. In this paper, we rethink this conventional prerequisite.