research
∙
06/16/2023
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
Precision and Recall are two prominent metrics of generative performance...
share
research
∙
05/31/2023
Using Visual Cropping to Enhance Fine-Detail Question Answering of BLIP-Family Models
Visual Question Answering is a challenging task, as it requires seamless...
research
∙
10/04/2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
As the success of Generative Adversarial Networks (GANs) on natural imag...
research
∙
06/03/2018
Disconnected Manifold Learning for Generative Adversarial Networks
Real images often lie on a union of disjoint manifolds rather than one g...
research
∙
01/23/2018
