I.e Identity Decay in Multi-Turn Human-Centric Image Editing: A Benchmark and a Multimodal Agentic Correction Framework
Under Review
Introduces a benchmark measuring identity and fidelity decay in multi-turn human-centric image editing, and a correction pipeline in which a multimodal agent orchestrates identity correction using pretrained human segmentation and parsing models (Sapiens for body, DML_CSR for face) together with deterministic image operators such as TPS warp and high-frequency preservation transfer, flattening the degradation curve.