Refine high-quality datasets and visual AI models

[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[ICCV 2023] - Composed Image Retrieval on Common Objects in context (CIRCO) dataset

[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion

This repo contains code and a pre-trained model for clothes segmentation.

Materials for the Hugging Face Diffusion Models Course

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

A latent text-to-image diffusion model

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

The library for web and native user interfaces.

Semantic Image Synthesis with SPADE

Image augmentation for machine learning experiments.

Pytorch implementation of the ECCV 2016 paper "Stacked Hourglass Networks for Human Pose Estimation"

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

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

Official code for "Parser-Free Virtual Try-on via Distilling Appearance Flows", CVPR 2021.

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

starter from "How to Train a GAN?" at NIPS2016