Diffusion models (DMs) have achieved remarkable success in text-to-image generation, but
they also pose safety risks, such as the potential generation of harmful content and copyright …

Text-to-image models encounter safety issues, including concerns related to copyright and
Not-Safe-For-Work (NSFW) content. Despite several methods have been proposed for …

Text-to-image (T2I) models, such as Stable Diffusion, have exhibited remarkable
performance in generating high-quality images from text descriptions in recent years …

Recent advances in diffusion models have significantly enhanced their ability to generate
high-quality images and videos, but they have also increased the risk of producing unsafe …

Video generation has witnessed significant advancements, yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Recent advancements in text-to-image (T2I) models have greatly benefited from large-scale
datasets, but they also pose significant risks due to the potential generation of unsafe …

Recently, Text-to-Image (T2I) models have achieved remarkable success in image
generation and editing, yet these models still have many potential issues, particularly in …

With the rapid progress of diffusion-based content generation, significant efforts are being
made to unlearn harmful or copyrighted concepts from pretrained diffusion models (DMs) to …

Visual diffusion models have revolutionized the field of creative AI, producing high-quality
and diverse content. However, they inevitably memorize training images or videos …

The rapid evolution of multimodal foundation models has led to significant advancements in
cross-modal understanding and generation across diverse modalities, including text …