Compression Asymmetry and Trajectory Binding in Noise-Anchored Diffusion Inversion
arXiv:2607.09784v1 Announce Type: new Abstract: Real-image diffusion inversion is governed by a tight quality-cost trade-off, with costs incurred in computation, storage, or per-image optimization. We study this trade-off through the forward Gaussian noise anchor that defines a diffusion trajectory and isolate two mechanisms behind effective stored-noise inversion. First, diffusion noise exhibits an element-wise compression asymmetry: int8 full-dimensional anchors preserve reconstruction, wherea...
arXiv cs.CV
·Yongseong Park, Joeun Kim, HoEun Kim, Young-Sik Kim
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