human-parsing 开源项目推荐（30 个）

GoGoDuck912 /Self-Correction-Human-Parsing

An out-of-box human parsing representation extractor.

ZhaoJ9014 /Multi-Human-Parsing

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

prismformore /Multi-Task-Transformer

论文代码ICLR2023《任务提词器：空间通道多任务提示用于密集场景理解》和ECCV2022论文《逆金字塔多任务变换器用于密集场景理解》

MVIG-SJTU /WSHP

Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"

kevinlin311tw /CDCL-human-part-segmentation

论文仓库：利用姿态进行多人部位分割的跨域互补学习（TCSVT20）

RoyalVane /MMAN

( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing

wildoctopus /huggingface-cloth-segmentation

Huggingface cloth segmentation using U2NET

Yukun-Huang /Single-Human-Parsing-LIP

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

cozymantis /human-parser-comfyui-node

一个 ComfyUI 节点，用于自动提取身体区域和服装/时尚单品的掩码。由 CozyMantis 团队用 💚 制作。

lattice-ai /DeepLabV3-Plus

DeepLabV3-Plus 的 Tensorflow 2.3.0 实现

ziwei-zh /CorrPM

Pytorch implementation of CVPR2020 paper "Correlating Edge, Pose with Parsing"

HymEric /Segmentation-Series-Chaos

Summary and experiment includes basic segmentation, human segmentation, human or portrait matting for both image and video.

Charleshhy /One-shot-Human-Parsing

[AAAI 2021] (oral) Progressive One-shot Human Parsing, [TPAMI 2023] End-to-end One-shot Human Parsing

Charleshhy /Grapy-ML

[AAAI 2020] (oral) Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

fashn-AI /fashn-human-parser

Human parsing model for fashion and virtual try-on applications

ZzzjzzZ /CompositionalHumanParsing

(ICCV2019) Learning Compositional Neural Infomation Fusion for Human Parsing

cvlab-yongin /D2FP

[WACV 2025] D2FP: Learning Implicit Prior for Human Parsing

minar09 /LIP-JPPNet-TensorFlow

JPPNet implementation in TensorFlow for human parsing

Vrushank264 /Human-Parsing-PyTorch

人体部位分割模型，使用 22 个类别标签训练。

minar09 /PGN_tf

Part Grouping Network (PGN) implementation in TensorFlow, for custom parsing dataset