1 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation
Hwan Heo, Jangyeong Kim, Seongyeong Lee +3
The synthesis of high-quality 3D assets from textual or visual inputs has become a central objective in modern generative modeling. Despite the proliferation of 3D generation algor…
HOReeNet: 3D-aware Hand-Object Grasping Reenactment
Changhwa Lee, Junuk Cha, Hansol Lee +3
We present HOReeNet, which tackles the novel task of manipulating images involving hands, objects, and their interactions. Especially, we are interested in transferring objects of…
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
Seongyeong Lee, Hansoo Park, Dong Uk Kim +3
RGB-based 3D hand pose estimation has been successful for decades thanks to large-scale databases and deep learning. However, the hand pose estimation network does not operate well…
Transformer-based Global 3D Hand Pose Estimation in Two Hands Manipulating Objects Scenarios
Hoseong Cho, Donguk Kim, Chanwoo Kim +2
This report describes our 1st place solution to ECCV 2022 challenge on Human Body, Hands, and Activities (HBHA) from Egocentric and Multi-view Cameras (hand pose estimation). In th…
OTPose: Occlusion-Aware Transformer for Pose Estimation in Sparsely-Labeled Videos
Kyung-Min Jin, Gun-Hee Lee, Seong-Whan Lee
Although many approaches for multi-human pose estimation in videos have shown profound results, they require densely annotated data which entails excessive man labor. Furthermore,…