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Image-based Virtual Try-on System with Clothing-size Adjustment
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
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
VITON-HD dataset contains 13679 pairs of half-body view and upper in-store clothing in 13 categories -
GaussianVTON
The dataset used in the paper is not explicitly described, but it is mentioned that it is a 3D human virtual try-on dataset. -
Augmented VITON
The augmented VITON dataset is created by randomly augmenting the testing person images in VITON via shifting and zooming. -
Multi-Pose Guided Virtual Try-On Network
Towards multi-pose guided virtual try-on network. -
Viton-HD: High-resolution virtual try-on via misalignment-aware normalization
High-resolution virtual try-on via misalignment-aware normalization -
TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-F...
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... -
Self-Supervised Vision Transformer for Enhanced Virtual Clothes 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. -
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
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...
