The author proposes OOTDiffusion as a novel approach to virtual try-on, leveraging latent diffusion models for high-quality and controllable image generation.
The author presents a novel diffusion-based approach to virtual try-on technology, focusing on preserving garment texture and user identity efficiently.
Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on.
Unified framework, StableGarment, addresses garment-centric generation tasks with state-of-the-art results.
OOTDiffusion proposes a novel approach for realistic and controllable virtual try-on using outfitting fusion.