14 citations · 23 across the 9 of their papers we have counts for
8 papers · 1 filter
Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild
Gyeongsik Moon, Hongsuk Choi, Sanghyuk Chun +2
Recovering 3D human mesh in the wild is greatly challenging as in-the-wild (ITW) datasets provide only 2D pose ground truths (GTs). Recently, 3D pseudo-GTs have been widely used to…
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Hongsuk Choi, Hyeongjin Nam, Taeryung Lee +2
Recently, a few self-supervised representation learning (SSL) methods have outperformed the ImageNet classification pre-training for vision tasks such as object detection. However,…
MonoNHR: Monocular Neural Human Renderer
Hongsuk Choi, Gyeongsik Moon, Matthieu Armando +3
Existing neural human rendering methods struggle with a single image input due to the lack of information in invisible areas and the depth ambiguity of pixels in visible areas. In…
HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network
JoonKyu Park, Yeonguk Oh, Gyeongsik Moon +2
Hands are often severely occluded by objects, which makes 3D hand mesh estimation challenging. Previous works often have disregarded information at occluded regions. However, we ar…
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
Hongsuk Choi, Gyeongsik Moon, JoonKyu Park +1
We consider the problem of recovering a single person's 3D human mesh from in-the-wild crowded scenes. While much progress has been in 3D human mesh estimation, existing methods st…
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee
Whole-body 3D human mesh estimation aims to reconstruct the 3D human body, hands, and face simultaneously. Although several methods have been proposed, accurate prediction of 3D ha…
NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets
Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee
Most 3D human mesh regressors are fully supervised with 3D pseudo-GT human model parameters and weakly supervised with GT 2D/3D joint coordinates as the 3D pseudo-GTs bring great p…
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang +1
Despite the recent success of single image-based 3D human pose and shape estimation methods, recovering temporally consistent and smooth 3D human motion from a video is still chall…