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Found 7 papers, 0 papers with code
3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image
This paper introduces a novel pipeline to reconstruct the geometry of interacting multi-person in clothing on a globally coherent scene space from a single image.
Dynamic Appearance Modeling of Clothed 3D Human Avatars using a Single Camera
For implicit modeling, an implicit network combines the appearance and 3D motion features to decode high-fidelity clothed 3D human avatars with motion-dependent geometry and texture.
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education
To overcome these challenges and fully utilize the potential of ML in education, software practitioners need to work closely with educators and students to fully understand the context of the data (the backbone of ML applications) and collaboratively define the ML data specifications.
IFaceUV: Intuitive Motion Facial Image Generation by Identity Preservation via UV map
We proposed IFaceUV, a fully differentiable pipeline that properly combines 2D and 3D information to conduct the facial reenactment task.
HOReeNet: 3D-aware Hand-Object Grasping Reenactment
At the same time, to obtain high-quality 2D images from 3D space, well-designed 3D-to-2D projection and image refinement are required.
Algorithmic Fairness in Education
Data-driven predictive models are increasingly used in education to support students, instructors, and administrators.
Evaluation of Fairness Trade-offs in Predicting Student Success
Predictive models for identifying at-risk students early can help teaching staff direct resources to better support them, but there is a growing concern about the fairness of algorithmic systems in education.
