Human Parsing

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 62 papers with code (125 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
  30 Mar 2023 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)
  Unlike the existing self-supervised learning methods, prior knowledge from human images is utilized in SOLIDER to build pseudo semantic labels and import more semantic information into the learned representation.
• CCNet: Criss-Cross Attention for Semantic Segmentation
  28 Nov 2018 4 repositories listed Syntology ran 9 of 14 samples · 5 unverified
  Compared with the non-local block, the proposed recurrent criss-cross attention module requires 11x less GPU memory usage.
• Body Part-Based Representation Learning for Occluded Person Re-Identification
  7 Nov 2022 3 repositories listed
  Firstly, individual body part appearance is not as discriminative as global appearance (two distinct IDs might have the same local appearance), this means standard ReID training objectives using identity labels are not…
• Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and Benchmark
  1 Oct 2022 3 repositories listed
  In addition, we propose a network named M2Net, which integrates multi-modality features from the RGB images, contour images and human parsing images.
• Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
  5 Apr 2018 3 repositories listed
  To further explore and take advantage of the semantic correlation of these two tasks, we propose a novel joint human parsing and pose estimation network to explore efficient context modeling, which can simultaneously…
• milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
  29 Jun 2023 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  In this work, we propose milliFlow, a novel deep learning approach to estimate scene flow as complementary motion information for mmWave point cloud, serving as an intermediate level of features and directly benefiting…
• Deep Learning Technique for Human Parsing: A Survey and Outlook
  1 Jan 2023 2 repositories listed
  Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts.
• Text2Human: Text-Driven Controllable Human Image Generation
  31 May 2022 2 repositories listed
  In this work, we present a text-driven controllable framework, Text2Human, for a high-quality and diverse human generation.
• Parser-Free Virtual Try-on via Distilling Appearance Flows
  8 Mar 2021 2 repositories listed
  A recent pioneering work employed knowledge distillation to reduce the dependency of human parsing, where the try-on images produced by a parser-based method are used as supervisions to train a "student" network without…
• Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
  26 Jan 2021 2 repositories listed
  Prior highly-tuned image parsing models are usually studied in a certain domain with a specific set of semantic labels and can hardly be adapted into other scenarios (e.
• Learning from Synthetic Animals
  17 Dec 2019 2 repositories listed Syntology ran 1 of 15 samples · 14 unverified
  Despite great success in human parsing, progress for parsing other deformable articulated objects, like animals, is still limited by the lack of labeled data.
• Self-Correction for Human Parsing
  22 Oct 2019 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  To tackle the problem of learning with label noises, this work introduces a purification strategy, called Self-Correction for Human Parsing (SCHP), to progressively promote the reliability of the supervised labels as…
• Parsing R-CNN for Instance-Level Human Analysis
  30 Nov 2018 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  Models need to distinguish different human instances in the image panel and learn rich features to represent the details of each instance.
• Devil in the Details: Towards Accurate Single and Multiple Human Parsing
  17 Sep 2018 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Human parsing has received considerable interest due to its wide application potentials.
• Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
  10 Apr 2018 2 repositories listed
  Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group…
• Multiple-Human Parsing in the Wild
  19 May 2017 2 repositories listed
  To address the multi-human parsing problem, we introduce a new multi-human parsing (MHP) dataset and a novel multi-human parsing model named MH-Parser.
• Progressive Limb-Aware Virtual Try-On
  16 Mar 2025 1 repository listed
  Finally, we propose a Limb-aware Texture Fusion (LTF) module to estimate high-quality details in limb regions by fusing textures of the clothing and the human body with the guidance of explicit limb-aware features.
• Exploring More from Multiple Gait Modalities for Human Identification
  16 Dec 2024 1 repository listed
  The gait, as a kind of soft biometric characteristic, can reflect the distinct walking patterns of individuals at a distance, exhibiting a promising technique for unrestrained human identification.
• It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment
  16 Nov 2024 1 repository listed
  In particular, the GCM aims to enhance the quality of parsing features by leveraging global features from silhouettes, while the PCM aligns the dynamics of human parts between silhouette and parsing features using the…
• MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders
  2 Jul 2024 1 repository listed
  Multi-task dense scene understanding, which learns a model for multiple dense prediction tasks, has a wide range of application scenarios.
• 4D-DRESS: A 4D Dataset of Real-world Human Clothing with Semantic Annotations
  29 Apr 2024 1 repository listed Syntology ran 5 of 9 samples · 4 unverified · 9 pointer-only (licence)
  Addressing this gap, we introduce 4D-DRESS, the first real-world 4D dataset advancing human clothing research with its high-quality 4D textured scans and garment meshes.
• DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification
  31 Jan 2024 1 repository listed
  Unlike mainstream approaches using global features for simultaneous multi-task learning of ReID and human parsing, or relying on semantic information for attention guidance, DROP argues that the inferior performance of…
• Explore Human Parsing Modality for Action Recognition
  4 Jan 2024 1 repository listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)
  Multimodal-based action recognition methods have achieved high success using pose and RGB modality.
• Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification
  15 Dec 2023 1 repository listed
  In addition, existing occluded person ReID benchmarks utilize occluded samples as queries, which will amplify the role of alleviating occlusion interference and underestimate the impact of the feature absence issue.
• UniParser: Multi-Human Parsing with Unified Correlation Representation Learning
  13 Oct 2023 1 repository listed
  Multi-human parsing is an image segmentation task necessitating both instance-level and fine-grained category-level information.
• Parsing is All You Need for Accurate Gait Recognition in the Wild
  31 Aug 2023 1 repository listed
  Furthermore, due to the lack of suitable datasets, we build the first parsing-based dataset for gait recognition in the wild, named Gait3D-Parsing, by extending the large-scale and challenging Gait3D dataset.
• DM-VTON: Distilled Mobile Real-time Virtual Try-On
  26 Aug 2023 1 repository listed
  Additionally, we propose Virtual Try-on-guided Pose for Data Synthesis to address the limited pose variation observed in training images.
• Integrating Human Parsing and Pose Network for Human Action Recognition
  16 Jul 2023 1 repository listed
  We propose an Integrating Human Parsing and Pose Network (IPP-Net) for action recognition, which is the first to leverage both skeletons and human parsing feature maps in dual-branch approach.
• Single-stage Multi-human Parsing via Point Sets and Center-based Offsets
  22 Apr 2023 1 repository listed
  We instead present a high-performance Single-stage Multi-human Parsing (SMP) deep architecture that decouples the multi-human parsing problem into two fine-grained sub-problems, i.
• HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
  10 Mar 2023 1 repository listed Syntology ran 15 of 25 samples · 10 unverified
  Specifically, we propose a \textbf{HumanBench} based on existing datasets to comprehensively evaluate on the common ground the generalization abilities of different pretraining methods on 19 datasets from 6 diverse…

Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.