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Yong Zhang*

3 accepted papers

2024

LaWa: Using Latent Space for In-Generation Image Watermarking

ECCV 2024poster

"With generative models producing high quality images that are indistinguishable from real ones, there is growing concern regarding the malicious usage of AI-generated images. Imperceptible image watermarking is one viable solution towards such concerns. Prior watermarking methods map the image to a…

2024

Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models

ECCV 2024poster

"In order to improve the quality of synthesized videos, currently, one predominant method involves retraining an expert diffusion model and then implementing a noising-denoising process for refinement. Despite the significant training costs, maintaining consistency of content between the original an…

2024

OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models

ECCV 2024poster

"Personalization is an important topic in text-to-image generation, especially the challenging multi-concept personalization. Current multi-concept methods are struggling with identity preservation, occlusion, and the harmony between foreground and background. In this work, we propose OMG, an occlus…