Papers 3D Human Shape Estimation
“3D Human Shape Estimation” 태그가 달린 논문 33편 · 필터 해제
ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness
Fitting a body to a 3D clothed human point cloud is a common yet challenging task. Traditional optimization-based approaches use multi-stage pipelines that are sensitive to pose initialization, while recent learning-base…
3D Human Pose Estimation3D Human Shape EstimationGarment ReconstructionHuman FittingControlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation
We present a methodology for conditional control of human shape and pose in pretrained text-to-image diffusion models using a 3D human parametric model (SMPL). Fine-tuning these diffusion models to adhere to new conditio…
3D Human Shape EstimationDomain AdaptationHuman AnimationText-to-Image GenerationAnthroNet: Conditional Generation of Humans via Anthropometrics
We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses. The proposed model enables direct modeling o…
3D human pose and shape estimation3D Human Reconstruction3D Human Shape EstimationDiversity+2Shape of You: Precise 3D shape estimations for diverse body types
This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems. While existing methods have successfully estimated 3D poses, there…
3D Human Reconstruction3D Human Shape EstimationRecommendation SystemsSuper-resolution 3D Human Shape from a Single Low-Resolution Image
We propose a novel framework to reconstruct super-resolution human shape from a single low-resolution input image. The approach overcomes limitations of existing approaches that reconstruct 3D human shape from a single i…
3D Human Reconstruction3D Human Shape Estimation3D Shape Reconstruction From A Single 2D ImageSurface ReconstructionAccurate 3D Body Shape Regression using Metric and Semantic Attributes
While methods that regress 3D human meshes from images have progressed rapidly, the estimated body shapes often do not capture the true human shape. This is problematic since, for many applications, accurate body shape i…
3D Human Reconstruction3D Human Shape EstimationICON: Implicit Clothed humans Obtained from Normals
Current methods for learning realistic and animatable 3D clothed avatars need either posed 3D scans or 2D images with carefully controlled user poses. In contrast, our goal is to learn an avatar from only 2D images of pe…
3D Human Pose Estimation3D Human Reconstruction3D Human Shape EstimationMonocular 3D Human Pose EstimationHuman Performance Capture from Monocular Video in the Wild
Capturing the dynamically deforming 3D shape of clothed human is essential for numerous applications, including VR/AR, autonomous driving, and human-computer interaction. Existing methods either require a highly speciali…
3D Human Shape EstimationAutonomous DrivingA Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose
Existing deep learning-based human mesh reconstruction approaches have a tendency to build larger networks in order to achieve higher accuracy. Computational complexity and model size are often neglected, despite being k…
3D Human Pose Estimation3D Human Shape EstimationHuman Mesh RecoveryVirtual Try-onBody Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
We address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have …
3D Human Shape Estimation3D Multi-Person Mesh RecoveryTranslationLeveraging MoCap Data for Human Mesh Recovery
Training state-of-the-art models for human body pose and shape recovery from images or videos requires datasets with corresponding annotations that are really hard and expensive to obtain. Our goal in this paper is to st…
3D Human Pose Estimation3D Human Reconstruction3D Human Shape EstimationHuman Mesh RecoveryHierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
This paper addresses the problem of 3D human body shape and pose estimation from an RGB image. This is often an ill-posed problem, since multiple plausible 3D bodies may match the visual evidence present in the input - p…
3D Human Pose Estimation3D Human Shape Estimation3D ReconstructionMulti-Hypotheses 3D Human Pose Estimation+1DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction
In this paper, we aim to reconstruct a full 3D human shape from a single image. Previous vertex-level and parameter regression approaches reconstruct 3D human shape based on a pre-defined adjacency matrix to encode posit…
3D Human Pose Estimation3D Human Shape EstimationRelationLASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering
A key challenge in the task of human pose and shape estimation is occlusion, including self-occlusions, object-human occlusions, and inter-person occlusions. The lack of diverse and accurate pose and shape training data …
3D Human Pose Estimation3D Human Shape EstimationPose EstimationLearning Local Recurrent Models for Human Mesh Recovery
We consider the problem of estimating frame-level full human body meshes given a video of a person with natural motion dynamics. While much progress in this field has been in single image-based mesh estimation, there has…
3D Human Pose Estimation3D Human Shape EstimationHuman Mesh RecoveryEverybody Is Unique: Towards Unbiased Human Mesh Recovery
We consider the problem of obese human mesh recovery, i.e., fitting a parametric human mesh to images of obese people. Despite obese person mesh fitting being an important problem with numerous applications (e.g., health…
3D Human Pose Estimation3D Human Shape EstimationHuman Mesh RecoveryBody Meshes as Points
We consider the challenging multi-person 3D body mesh estimation task in this work. Existing methods are mostly two-stage based--one stage for person localization and the other stage for individual body mesh estimation, …
3D Human Pose Estimation3D Human Shape Estimation3D Multi-Person Pose Estimation3D Pose EstimationAGORA: Avatars in Geography Optimized for Regression Analysis
While the accuracy of 3D human pose estimation from images has steadily improved on benchmark datasets, the best methods still fail in many real-world scenarios. This suggests that there is a domain gap between current d…
2D Human Pose Estimation3D Human Pose Estimation3D Human Reconstruction3D Human Shape Estimation+5KAMA: 3D Keypoint Aware Body Mesh Articulation
We present KAMA, a 3D Keypoint Aware Mesh Articulation approach that allows us to estimate a human body mesh from the positions of 3D body keypoints. To this end, we learn to estimate 3D positions of 26 body keypoints an…
3D Human Pose Estimation3D Human Shape EstimationKeypoint EstimationTemporal Consistency Loss for High Resolution Textured and Clothed 3DHuman Reconstruction from Monocular Video
We present a novel method to learn temporally consistent 3D reconstruction of clothed people from a monocular video. Recent methods for 3D human reconstruction from monocular video using volumetric, implicit or parametri…
3D geometry3D Human Reconstruction3D Human Shape Estimation3D Reconstruction+1