1 citations · 1 across the 4 of their papers we have counts for
7 papers
VideoUFO: A Million-Scale User-Focused Dataset for Text-to-Video Generation
Wenhao Wang, Yi Yang
Text-to-video generative models convert textual prompts into dynamic visual content, offering wide-ranging applications in film production, gaming, and education. However, their re…
Origin Identification for Text-Guided Image-to-Image Diffusion Models
Wenhao Wang, Yifan Sun, Zongxin Yang +3
Text-guided image-to-image diffusion models excel in translating images based on textual prompts, allowing for precise and creative visual modifications. However, such a powerful t…
TIP-I2V: A Million-Scale Real Text and Image Prompt Dataset for Image-to-Video Generation
Wenhao Wang, Yi Yang
Video generation models are revolutionizing content creation, with image-to-video models drawing increasing attention due to their enhanced controllability, visual consistency, and…
Image Copy Detection for Diffusion Models
Wenhao Wang, Yifan Sun, Zhentao Tan +1
Images produced by diffusion models are increasingly popular in digital artwork and visual marketing. However, such generated images might replicate content from existing ones and…
Replication in Visual Diffusion Models: A Survey and Outlook
Wenhao Wang, Yifan Sun, Zongxin Yang +3
Visual diffusion models have revolutionized the field of creative AI, producing high-quality and diverse content. However, they inevitably memorize training images or videos, subse…
AnyPattern: Towards In-context Image Copy Detection
Wenhao Wang, Yifan Sun, Zhentao Tan +1
This paper explores in-context learning for image copy detection (ICD), i.e., prompting an ICD model to identify replicated images with new tampering patterns without the need for…
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models
Wenhao Wang, Yi Yang
The arrival of Sora marks a new era for text-to-video diffusion models, bringing significant advancements in video generation and potential applications. However, Sora, along with…