16 datasets found

The proposed method uses OpenPose for image segmentation and adds clothing size, body length, and shoulder width as inputs to resize the clothing area.

OutfitAnyone is a diffusion-based framework for 2D Virtual Try-On. It has garnered over 5,000 stars on GitHub and ranked within the top 20 among all the Hugging Face spaces.

VITON-HD dataset contains 13679 pairs of half-body view and upper in-store clothing in 13 categories

A Two-stage Personalized Virtual Try-on Framework with Shape Control and Texture Guidance

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

We propose an effective and efficient framework, termed TryOn-Adapter, to tackle the issues of identity controllability and training efficiency in diffusion-based 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.

The MVG dataset, which contains 1,009 samples, each with five images of the same person wearing the same garment from five different views.

The proposed method for Multi-View Virtual Try-On (MV-VTON) task, which aims at using the frontal and back clothing to reconstruct the dressing results of a person from multiple...

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...