9 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that it is a 3D human virtual try-on dataset.

The augmented VITON dataset is created by randomly augmenting the testing person images in VITON via shifting and zooming.

The VITON dataset is a popular benchmark for image-based virtual try-on. It contains a training set with 14,221 image pairs and a testing dataset of 2,032 pairs. Both person and...

Towards multi-pose guided virtual try-on network.

High-resolution virtual try-on via misalignment-aware normalization

LADI-VTON: Latent diffusion textual-inversion enhanced model for virtual try-on

Virtual clothes try-on has emerged as a vital feature in online shopping, offering consumers a critical tool to visualize how clothing fits.

DressCode dataset for multi-category virtual try-on, aiming to transfer an in-shop garment onto a specific person from different categories.

Virtual try-on focuses on adjusting the given clothes to fit a specific person seamlessly while avoiding any distortion of the patterns and textures of the garment. The clothing...