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2dimageto3dmodel

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

acgpn

"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR 2020. (Modified from original with fixes for inference)

clothes-matching-based-on-machine-learning-algorithms

cp-vton-plus

Official implementation for "CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On", CVPRW 2020

design-jam-submission

e-commerce

forage-jpm-midas-core

jpmc-task-1

Starter repo for task 1 of the JPMC software engineering program

jpmc-task-2

Starter repo for task 2 of JPMC's forage program

jpmc-task-3

Starter repo for task 3 of JPMC's Forage program

leetcode_competitive_programming

Contains leetcode problem solutions

m3d-vton

Official code for ICCV2021 paper "M3D-VTON: A Monocular-to-3D Virtual Try-on Network"

myfirstrepository

myntrahackerramp_trojanhorse

res-m3d-vton

[COMP 6381] Monocular-to-3D Virtual Try-On using Deep Residual U-Net

rmgn-viton

Official PyTorch implementation of "RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on" (IJCAI-ECAI 2022)