SOTAVerified

Human Mesh Recovery

Estimate 3D body mesh from images

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 109 papers

TitleStatusHype
MetricHMR: Metric Human Mesh Recovery from Monocular Images—0
ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference OptimizationCode1
SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models—0
PromptHMR: Promptable Human Mesh RecoveryCode3
DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery—0
Reconstructing Humans with a Biomechanically Accurate Skeleton—0
Fish2Mesh Transformer: 3D Human Mesh Recovery from Egocentric Vision—0
BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos—0
Motion-X++: A Large-Scale Multimodal 3D Whole-body Human Motion DatasetCode4
Joint Optimization for 4D Human-Scene Reconstruction in the Wild—0
ANTHROPOS-V: benchmarking the novel task of Crowd Volume EstimationCode0
BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation—0
M3GYM: A Large-Scale Multimodal Multi-view Multi-person Pose Dataset for Fitness Activity Understanding in Real-world Settings—0
Optimizing Local-Global Dependencies for Accurate 3D Human Pose EstimationCode0
GenHMR: Generative Human Mesh Recovery—0
CondiMen: Conditional Multi-Person Mesh Recovery—0
BLADE: Single-view Body Mesh Learning through Accurate Depth Estimation—0
HeatFormer: A Neural Optimizer for Multiview Human Mesh Recovery—0
Continuous-Time Human Motion Field from Events—0
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh RecoveryCode0
DeforHMR: Vision Transformer with Deformable Cross-Attention for 3D Human Mesh Recovery—0
ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from VideosCode1
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose—0
Humans as Checkerboards: Calibrating Camera Motion Scale for World-Coordinate Human Mesh Recovery—0
MEGA: Masked Generative Autoencoder for Human Mesh Recovery—0
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Benchmark Results

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