SOTAVerified

Human Parsing

Human parsing is the task of segmenting a human image into different fine-grained semantic parts such as head, torso, arms and legs.

( Image credit: Multi-Human-Parsing (MHP) )

Papers

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Showing 1–50 of 125 papers

TitleStatusHype
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
SCHNet: SAM Marries CLIP for Human Parsing—0
Progressive Limb-Aware Virtual Try-OnCode0
TruePose: Human-Parsing-guided Attention Diffusion for Full-ID Preserving Pose Transfer—0
MC-VTON: Minimal Control Virtual Try-On Diffusion Transformer—0
Exploring More from Multiple Gait Modalities for Human IdentificationCode0
Improving analytical color and texture similarity estimation methods for dataset-agnostic person reidentification—0
It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity AlignmentCode0
Features Reconstruction Disentanglement Cloth-Changing Person Re-Identification—0
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based DecodersCode1
4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic AnnotationsCode2
Part-Attention Based Model Make Occluded Person Re-Identification Stronger—0
Data Augmentation in Human-Centric Vision—0
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification—0
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identificationCode0
Explore Human Parsing Modality for Action RecognitionCode1
Synthesizing Environment-Specific People in Photographs—0
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
360° Volumetric Portrait Avatar—0
PICTURE: PhotorealistIC virtual Try-on from UnconstRained dEsigns—0
UniParser: Multi-Human Parsing with Unified Correlation Representation LearningCode1
Exploring the Robustness of Human Parsers Towards Common Corruptions—0
Parsing is All You Need for Accurate Gait Recognition in the WildCode0
DM-VTON: Distilled Mobile Real-time Virtual Try-OnCode1
CIParsing: Unifying Causality Properties into Multiple Human Parsing—0
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing—0
Exploring Part-Informed Visual-Language Learning for Person Re-Identification—0
Integrating Human Parsing and Pose Network for Human Action RecognitionCode1
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion SensingCode1
Single-stage Multi-human Parsing via Point Sets and Center-based OffsetsCode0
Semantic Human Parsing via Scalable Semantic Transfer over Multiple Label DomainsCode0
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual TasksCode3
HumanBench: Towards General Human-centric Perception with Projector Assisted PretrainingCode2
UniHCP: A Unified Model for Human-Centric PerceptionsCode1
Texture-Based Input Feature Selection for Action Recognition—0
Deep Learning for Human Parsing: A Survey—0
Deep Learning Technique for Human Parsing: A Survey and OutlookCode1
Human Co-Parsing Guided Alignment for Occluded Person Re-identificationCode1
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human ReconstructionCode1
Body Part-Based Representation Learning for Occluded Person Re-IdentificationCode2
Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and BenchmarkCode1
Google Coral-based edge computing person reidentification using human parsing combined with analytical method—0
RepParser: End-to-End Multiple Human Parsing with Representative Parts—0
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identificationCode0
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
AIParsing: Anchor-free Instance-level Human Parsing—0
Text2Human: Text-Driven Controllable Human Image GenerationCode2
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training—0
Versatile Multi-Modal Pre-Training for Human-Centric PerceptionCode1
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
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All datasets4D-DRESSPASCAL Context

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Graphonomy_InnermAcc0.97—Unverified
2CDGNet_InnermAcc0.92—Unverified
3Graphonomy_OutermAcc0.92—Unverified
4SCHP_InnermAcc0.91—Unverified
5CDGNet_OutermAcc0.89—Unverified
6SCHP_OutermAcc0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTmIoU67.61—Unverified