SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing 事件

SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing arXiv:2606.06228v1 Announce Type: new Abstract: Training-free image editing has recently attracted increasing attention due to its ability to modify real images using powerful pre-trained diffusion and flow-matching models without additional training. However, existing inversion-based and differential-flow-based methods usually perform global latent transport, which inevitably propagates editing effects to non-target regions