Search Results for author:
Found 4 papers, 3 papers with code
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer
We remove any extra reference network or image encoder.
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model
Since Diffusion Models (DMs) have strong capabilities in generating high-frequency details, we consider introducing DMs into the video deblurring task.
Towards Highly Realistic Artistic Style Transfer via Stable Diffusion with Step-aware and Layer-aware Prompt
To address the above problems, we propose a novel pre-trained diffusion-based artistic style transfer method, called LSAST, which can generate highly realistic artistic stylized images while preserving the content structure of input content images well, without bringing obvious artifacts and disharmonious style patterns.
ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank
To address the above issues, we propose ArtBank, a novel artistic style transfer framework, to generate highly realistic stylized images while preserving the content structure of the content images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
