246 citations · 491 across the 30 of their papers we have counts for
5 papers · 1 filter
GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields
Alessandro Ruzzi, Xiangwei Shi, Xi Wang +5
We propose GazeNeRF, a 3D-aware method for the task of gaze redirection. Existing gaze redirection methods operate on 2D images and struggle to generate 3D consistent results. Inst…
SContact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim +3
Despite the recent efforts in accurate 3D annotations in hand and object datasets, there still exist gaps in 3D hand and object reconstructions. Existing works leverage contact map…
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning
Boeun Kim, Hyung Jin Chang, Jungho Kim +1
We propose a new transformer model for the task of unsupervised learning of skeleton motion sequences. The existing transformer model utilized for unsupervised skeleton-based actio…
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis +1
Estimating the pose and shape of hands and objects under interaction finds numerous applications including augmented and virtual reality. Existing approaches for hand and object re…
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping
Nora Horanyi, Kedi Xia, Kwang Moo Yi +3
We propose a novel optimization framework that crops a given image based on user description and aesthetics. Unlike existing image cropping methods, where one typically trains a de…