ReState: Noise-Level-Aware State Correction for Training-Free Object Removal in Few-Step Diffusion Models

Training-free object removal commonly redirects self-attention away from the target region, but on few-step distilled diffusion models this often leaves object-shaped residuals. We identify a temporal mismatch: a structured prediction forms inside the mask at the first forward, and the short traject