Safe Few-Step Generation via Velocity Editing
cs.CV, cs.CY
Submitted: 2026-06-22
Updated: 2026-10-10
Comments: Accepted to NeurIPS 2026; Project Page: https://uzn36.github.io/VESFlow/
Code: https://github.com/LAION-AI/CLIP-based-NSFW-Detector
Project page: https://uzn36.github.io/VESFlow
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Mean Flows for One-step Generative Modeling
- Classifier-Free Diffusion Guidance
- Training-Free Safe Denoisers for Safe Use of Diffusion Models
- Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe Generation
- Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
- EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
- Flow Matching for Generative Modeling
- Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models
- Few-Step Distillation for Text-to-Image Generation: A Practical Guide
- Score-Based Generative Modeling through Stochastic Differential Equations
- Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?
- Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
- Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models
- SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation
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