SOTAVerified

Human Mesh Recovery

Estimate 3D body mesh from images

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 109 papers

TitleStatusHype
Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing—0
CondiMen: Conditional Multi-Person Mesh Recovery—0
Continuous-Time Human Motion Field from Events—0
Cross-view and Cross-pose Completion for 3D Human Understanding—0
D3L: Decomposition of 3D Rotation and Lift from 2D Joint to 3D for Human Mesh Recovery—0
DiffMesh: A Motion-aware Diffusion Framework for Human Mesh Recovery from Videos—0
DeforHMR: Vision Transformer with Deformable Cross-Attention for 3D Human Mesh Recovery—0
Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery—0
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose—0
DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery—0
Distribution-Aligned Diffusion for Human Mesh Recovery—0
Distribution and Depth-Aware Transformers for 3D Human Mesh Recovery—0
EgoGen: An Egocentric Synthetic Data Generator—0
Everybody Is Unique: Towards Unbiased Human Mesh Recovery—0
Fish2Mesh Transformer: 3D Human Mesh Recovery from Egocentric Vision—0
Full-Body Awareness from Partial Observations—0
GenHMR: Generative Human Mesh Recovery—0
HardMo: A Large-Scale Hardcase Dataset for Motion Capture—0
HeatFormer: A Neural Optimizer for Multiview Human Mesh Recovery—0
Hierarchical Kinematic Human Mesh Recovery—0
Human Body Model based ID using Shape and Pose Parameters—0
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view—0
Joint Optimization for 4D Human-Scene Reconstruction in the Wild—0
Learning Dense UV Completion for Human Mesh Recovery—0
Learning Human Mesh Recovery in 3D Scenes—0
Learning Local Recurrent Models for Human Mesh Recovery—0
M3GYM: A Large-Scale Multimodal Multi-view Multi-person Pose Dataset for Fitness Activity Understanding in Real-world Settings—0
MEGA: Masked Generative Autoencoder for Human Mesh Recovery—0
MetricHMR: Metric Human Mesh Recovery from Monocular Images—0
Multi-Human Mesh Recovery with Transformers—0
Multi-view Human Body Mesh Translator—0
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action—0
Occluded Human Mesh Recovery—0
Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery—0
On the Calibration of Human Pose Estimation—0
Progressive Multi-view Human Mesh Recovery with Self-Supervision—0
Reconstructing Humans with a Biomechanically Accurate Skeleton—0
Self-supervised Human Mesh Recovery with Cross-Representation Alignment—0
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery—0
SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models—0
Synthetic Training for Monocular Human Mesh Recovery—0
Through-Wall Human Mesh Recovery Using Radio Signals—0
TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer—0
Towards Robust RGB-D Human Mesh Recovery—0
Uncertainty-Aware Human Mesh Recovery From Video by Learning Part-Based 3D Dynamics—0
VoteHMR: Occlusion-Aware Voting Network for Robust 3D Human Mesh Recovery from Partial Point Clouds—0
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape EstimationCode0
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled RepresentationCode0
Optimizing Local-Global Dependencies for Accurate 3D Human Pose EstimationCode0
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive LossesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BEDLAM-CLIFFPVE-All94.6—Unverified
2BEDLAM-CLIFF+PVE-All87.6—Unverified
3Multi-HMRPVE-All76.8—Unverified