Synthesizing 3D human avatars interacting realistically with a scene is an important problem
with applications in AR/VR, video games, and robotics. Towards this goal, we address the …

We introduce pix2gestalt, a framework for zero-shot amodal segmentation, which learns to
estimate the shape and appearance of whole objects that are only partially visible behind …

Vision foundation models trained on massive amounts of visual data have shown
unprecedented reasoning and planning skills in open-world settings. A key challenge in …

This paper investigates methods for improving generative data augmentation for deep
learning. Generative data augmentation leverages the synthetic samples produced by …

Nonlinear mechanical systems can exhibit non-uniqueness of the displacement field in
response to a force field, which is related to the non-convexity of strain energy. This work …

This study proposes a novel approach utilizing Invertible Neural Networks (INNs) to address
the complexity of predicting tobacco production parameters from specified tar content in a …

Nonlinear mechanical systems can exhibit non-uniqueness of the displacement field in
response to a force field, which is related to the non-convexity of strain energy. This work …