Bingwen-Hu

Bingwen-Hu

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Bingwen-Hu's repositories

ERGAN-Pytorch

Official code for "Unsupervised Eyeglasses Removal in the Wild"๏ผŒ๐Ÿ‘“๐Ÿฅฝ๐Ÿ•ถ

awesome-virtual-try-on

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

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Cool-Fashion-Papers

๐Ÿ‘”๐Ÿ‘—๐Ÿ•ถ๏ธ๐ŸŽฉ Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

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DeepfakeBench

A comprehensive benchmark of deepfake detection

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dressing-in-order

(ICCV'21) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing."

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GPTCache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

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U-2-Net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

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DCI-VTON-Virtual-Try-On

[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.

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EditAnything

Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc.

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FreeInit

FreeInit: Bridging Initialization Gap in Video Diffusion Models

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generative-models

Generative Models by Stability AI

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GP-VTON

Official Implementation for CVPR2023 paper "GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning"

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gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

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HairCLIP

[CVPR 2022] HairCLIP: Design Your Hair by Text and Reference Image

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ladi-vton

This is the official repository for the paper "LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On". ACM Multimedia 2023

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LibMTL

A PyTorch Library for Multi-Task Learning

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ml-visuals

๐ŸŽจ ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

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MultiModal-DeepFake

[CVPR 2023] PyTorch code for DGM4: Detecting and Grounding Multi-Modal Media Manipulation

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MV-VTON

MV-VTON: Multi-View Virtual Try-On with Diffusion Models

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open_clip

An open source implementation of CLIP.

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PF-AFN

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

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PIDM

Person Image Synthesis via Denoising Diffusion Model (CVPR 2023)

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Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

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stable-diffusion

A latent text-to-image diffusion model

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StableVITON

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

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street-tryon-benchmark

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

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tryondiffusion

TryOnDiffusion: A Tale of Two UNets Implementation

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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udlbook

Understanding Deep Learning - Simon J.D. Prince

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