85 citations · 93 across the 6 of their papers we have counts for
6 papers
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image
Yan Hong, Jianfu Zhang
Recent advancements in personalizing text-to-image (T2I) diffusion models have shown the capability to generate images based on personalized visual concepts using a limited number…
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
Yan Hong, Jianfu Zhang
The extraordinary ability of generative models enabled the generation of images with such high quality that human beings cannot distinguish Artificial Intelligence (AI) generated i…
Virtual Accessory Try-On via Keypoint Hallucination
Junhong Gou, Bo Zhang, Li Niu +4
The virtual try-on task refers to fitting the clothes from one image onto another portrait image. In this paper, we focus on virtual accessory try-on, which fits accessory (e.g., g…
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
Junhong Gou, Siyu Sun, Jianfu Zhang +3
Virtual try-on is a critical image synthesis task that aims to transfer clothes from one image to another while preserving the details of both humans and clothes. While many existi…
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta
Yan Hong, Li Niu, Jianfu Zhang +1
Learning to generate new images for a novel category based on only a few images, named as few-shot image generation, has attracted increasing research interest. Several state-of-th…
Few-shot Image Generation Using Discrete Content Representation
Yan Hong, Li Niu, Jianfu Zhang +1
Few-shot image generation and few-shot image translation are two related tasks, both of which aim to generate new images for an unseen category with only a few images. In this work…