Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
arXiv:2603.27665v1 Announce Type: cross
Abstract: Existing generative models, such as diffusion and auto-regressive networks, are inherently static, relying on a fixed set of pretrained parameters to handle all inputs. In contrast, humans flexibly ada…