Graph-PiT: Enhancing Structural Coherence in Part-Based Image Synthesis via Graph Priors

ArXi:2604.06074v1 Announce Type: cross Achieving fine-grained and structurally sound controllability is a cornerstone of advanced visual generation. Existing part-based frameworks treat user-provided parts as an unordered set and. therefore. ignore their intrinsic spatial and semantic relationships, which often results in compositions that lack structural integrity. To bridge this gap, we propose Graph-PiT, a framework that explicitly models the structural dependencies of visual components using a graph prior.