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 1–10 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
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All datasets4D-DRESSPASCAL Context

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InvPTmIoU67.61—Unverified