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Human Mesh Recovery

Estimate 3D body mesh from images

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 109 papers

TitleStatusHype
Multimodal Active Measurement for Human Mesh Recovery in Close ProximityCode0
Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing—0
Distribution-Aligned Diffusion for Human Mesh Recovery—0
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from VideoCode1
Generative Approach for Probabilistic Human Mesh Recovery using Diffusion ModelsCode1
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh RecoveryCode1
Learning Dense UV Completion for Human Mesh Recovery—0
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion DatasetCode2
Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view—0
D3L: Decomposition of 3D Rotation and Lift from 2D Joint to 3D for Human Mesh Recovery—0
Learning Human Mesh Recovery in 3D Scenes—0
Humans in 4D: Reconstructing and Tracking Humans with TransformersCode3
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric ViewsCode1
SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and ModelingCode2
DiffMesh: A Motion-aware Diffusion Framework for Human Mesh Recovery from Videos—0
POTTER: Pooling Attention Transformer for Efficient Human Mesh RecoveryCode1
Diffusion-HPC: Synthetic Data Generation for Human Mesh Recovery in Challenging DomainsCode1
GATOR: Graph-Aware Transformer with Motion-Disentangled Regression for Human Mesh Recovery from a 2D PoseCode1
Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery—0
MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape RecoveryCode0
3D Human Mesh Recovery with Sequentially Global Rotation EstimationCode0
Learning Analytical Posterior Probability for Human Mesh RecoveryCode1
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action—0
Deformable Mesh Transformer for 3D Human Mesh RecoveryCode1
NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same ActionCode1
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Benchmark Results

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