We introduce Cap3D, an automatic approach for generating descriptive tex...
Diffusion probabilistic models have shown great success in generating
hi...
Real-world tasks consist of multiple inter-dependent subtasks (e.g., a d...
3D shapes have complementary abstractions from low-level geometry to
par...
Robustness of neural networks has recently been highlighted by the
adver...
We address the problem of discovering 3D parts for objects in unseen
cat...
Robustness of convolutional neural networks has recently been highlighte...
In this paper, we propose to tackle the challenging few-shot learning (F...
Fine-grained classification is challenging due to the difficulty of find...