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Dressing In Order ⭐ 428

(ICCV'21) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing" by Aiyu Cui, Daniel McKee and Svetlana Lazebnik

Swapnet ⭐ 140

Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Neural Re Rendering Of Humans From A Single Image ⭐ 31

Pytorch implementation of the paper, Neural re-rendering of humans from a single image.

Street Tryon Benchmark ⭐ 23

StreetTryOn: A Benchmark for In-the-Wild Virtual Try-On and Cross-Domain Virtual Try-On

Point_based_clothing ⭐ 15

Official PyTorch implementation of ICCV'21 paper Point-Based Modeling of Human Clothing

TryItOut is a versatile project that brings a variety of innovative features to the forefront, aimed at enhancing the online shopping experience. With a range of capabilities, the project empowers users to explore, visualize, and tailor their digital shopping journeys

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