Human Parsing
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Benchmarks
4D-DRESS
PASCAL Context
Most implemented
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
CCNet: Criss-Cross Attention for Semantic Segmentation
TAMF-VTON: Texture-Aware Mask-Free Virtual Try-On via High-Fidelity Image Synthesis
Papers
FlowVVTON: Flow-Guided Mask-Free Video Virtual Try-On
Video virtual try-on aims to transfer a target garment onto a moving person across video frames. Current methods rely on human parsing masks or pose keypoints that frequently fail under large motions and occlusions, caus…
Virtual Try-onHuman ParsingTAMF-VTON: Texture-Aware Mask-Free Virtual Try-On via High-Fidelity Image Synthesis
Recent diffusion-based virtual try-on (VTON) methods remain limited by their reliance on segmentation masks, insufficient preservation of fine-grained textures, and limited support for arbitrary multi-garment composition…
Virtual Try-onHuman ParsingUnlimited OCR Works
Recently, end-to-end OCR models, exemplified by DeepSeek OCR, have once again thrust OCR into the spotlight. A widely held view is that employing a large language model (LLM) as the decoder allows the model to leverage t…
Human ParsingLearning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts
Existing methods for human parsing into body parts and clothing often use fixed mask categories with broad labels that obscure fine-grained clothing types. Recent open-vocabulary segmentation approaches leverage pretrain…
Semantic SegmentationHuman ParsingPart Segmentation of Human Meshes via Multi-View Human Parsing
Recent advances in point cloud deep learning have led to models that achieve high per-part labeling accuracy on large-scale point clouds, using only the raw geometry of unordered point sets. In parallel, the field of hum…
Semantic SegmentationSemantic ParsingHuman ParsingPoint CloudsOpenHuman4D: Open-Vocabulary 4D Human Parsing
Understanding dynamic 3D human representation has become increasingly critical in virtual and extended reality applications. However, existing human part segmentation methods are constrained by reliance on closed-set dat…
Human Part SegmentationVideo Object TrackingHuman Parsing