research
∙
07/26/2023
Visual Instruction Inversion: Image Editing via Visual Prompting
Text-conditioned image editing has emerged as a powerful tool for editin...
share
research
∙
02/20/2023
Towards Universal Fake Image Detectors that Generalize Across Generative Models
With generative models proliferating at a rapid rate, there is a growing...
research
∙
05/31/2022
What Knowledge Gets Distilled in Knowledge Distillation?
Knowledge distillation aims to transfer useful information from a teache...
research
∙
04/13/2021
Few-shot Image Generation via Cross-domain Correspondence
Training generative models, such as GANs, on a target domain containing ...
research
∙
04/05/2021
Generating Furry Cars: Disentangling Object Shape Appearance across Multiple Domains
We consider the novel task of learning disentangled representations of o...
research
∙
11/26/2019
MixNMatch: Multifactor Disentanglement and Encodingfor Conditional Image Generation
We present MixNMatch, a conditional generative model that learns to dise...
research
∙
11/26/2019
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation
We present MixNMatch, a conditional generative model that learns to dise...
research
∙
10/01/2019
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data
We propose a novel unsupervised generative model, Elastic-InfoGAN, that ...
research
∙
11/27/2018
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
We propose FineGAN, a novel unsupervised GAN framework, which disentangl...
research
∙
12/09/2017
