Startseite Neuigkeiten Neueste Forschungsarbeiten Tutorials Datensätze Wiki SOTA LLM-Modelle GPU-Rangliste Veranstaltungen

Deutsch

3D Multi Person Pose Estimation Absolute On

Metriken

3DPCK

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	3DPCK	Paper Title	Repository
TDBU_Net	48.0	Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks	-
WDSPose	37.3	Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision	-
PIRN	44.1	Permutation-Invariant Relational Network for Multi-person 3D Pose Estimation	-
GnTCN	45.7	Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos	-
HMOR	43.8	HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation	-
GR-M3D	41.2	Dynamic Graph Reasoning for Multi-person 3D Pose Estimation	-
Liu et al.	36.5	Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation	-
Depth Prediction Network	-	Absolute Human Pose Estimation with Depth Prediction Network	-
HDNet	35.2	HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization	-
VirtualPose	44	VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data	-
3DMPPE_POSENET	31.5	Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image	-
SMAP	35.4	SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation	-
POTR-3D	50.9	Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild	-
DAS	39.2	Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation	-

0 of 14 row(s) selected.