Geometric Erasure by Contrastive Velocity Matching in Rectified Flows 事件

Geometric Erasure by Contrastive Velocity Matching in Rectified Flows arXiv:2606.00140v1 Announce Type: cross Abstract: While the rapid adoption of multimodal generative models offers immense potential, it has also increased the risks of harmful content synthesis, deepfakes, and copyright infringements. To address these challenges, concept erasure has emerged as a prospective safeguard. However, as the field gradually transitions from U-Net-based diffusion models to Rectified Flow Transformers,