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Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
March 19, 2024, 4:48 a.m. | Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
cs.CV updates on arXiv.org arxiv.org
Abstract: Test-time adaptation (TTA) addresses the unforeseen distribution shifts occurring during test time. In TTA, both performance and, memory and time consumption serve as crucial considerations. A recent diffusion-based TTA approach for restoring corrupted images involves image-level updates. However, using pixel space diffusion significantly increases resource requirements compared to conventional model updating TTA approaches, revealing limitations as a TTA method. To address this, we propose a novel TTA method by leveraging a latent diffusion model (LDM) …
abstract arxiv consumption corruption cs.cv diffusion distribution editor however image images memory performance pixel requirements serve space test type updates
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