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SPAST: Arbitrary Style Transfer with Style Priors via Pre-trained Large-scale Model
Zhanjie Zhang, Quanwei Zhang, Junsheng Luan +3
Given an arbitrary content and style image, arbitrary style transfer aims to render a new stylized image which preserves the content image's structure and possesses the style image…
MagicTryOn: Harnessing Diffusion Transformer for Garment-Preserving Video Virtual Try-on
Guangyuan Li, Siming Zheng, Hao Zhang +6
Video Virtual Try-On (VVT) aims to synthesize garments that appear natural across consecutive video frames, capturing both their dynamics and interactions with human motion. Despit…
DyArtbank: Diverse Artistic Style Transfer via Pre-trained Stable Diffusion and Dynamic Style Prompt Artbank
Zhanjie Zhang, Quanwei Zhang, Guangyuan Li +4
Artistic style transfer aims to transfer the learned style onto an arbitrary content image. However, most existing style transfer methods can only render consistent artistic styliz…
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer
Junsheng Luan, Guangyuan Li, Lei Zhao +1
Virtual try-on methods based on diffusion models achieve realistic try-on effects. They use an extra reference network or an additional image encoder to process multiple conditiona…