5 citations · 9 across the 4 of their papers we have counts for
5 papers
KinMo: Kinematic-aware Human Motion Understanding and Generation
Pengfei Zhang, Pinxin Liu, Pablo Garrido +2
Current human motion synthesis frameworks rely on global action descriptions, creating a modality gap that limits both motion understanding and generation capabilities. A single co…
TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans
Aggelina Chatziagapi, Bindita Chaudhuri, Amit Kumar +3
We introduce a novel framework that learns a dynamic neural radiance field (NeRF) for full-body talking humans from monocular videos. Prior work represents only the body pose or th…
Semi-supervised Synthesis of High-Resolution Editable Textures for 3D Humans
Bindita Chaudhuri, Nikolaos Sarafianos, Linda Shapiro +1
We introduce a novel approach to generate diverse high fidelity texture maps for 3D human meshes in a semi-supervised setup. Given a segmentation mask defining the layout of the se…
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting
Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro +1
Traditional methods for image-based 3D face reconstruction and facial motion retargeting fit a 3D morphable model (3DMM) to the face, which has limited modeling capacity and fail t…
Joint Face Detection and Facial Motion Retargeting for Multiple Faces
Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang
Facial motion retargeting is an important problem in both computer graphics and vision, which involves capturing the performance of a human face and transferring it to another 3D c…