6 papers
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…
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…
MS-DETR: Efficient DETR Training with Mixed Supervision
Chuyang Zhao, Yifan Sun, Wenhao Wang +4
DETR accomplishes end-to-end object detection through iteratively generating multiple object candidates based on image features and promoting one candidate for each ground-truth ob…
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels
Shu-Lin Xu, Yifan Sun, Faen Zhang +3
Learning fine-grained embeddings from coarse labels is a challenging task due to limited label granularity supervision, i.e., lacking the detailed distinctions required for fine-gr…