research
∙
02/06/2023
Zero-shot Image-to-Image Translation
Large-scale text-to-image generative models have shown their remarkable ...
share
research
∙
01/12/2023
Domain Expansion of Image Generators
Can one inject new concepts into an already trained generative model, wh...
research
∙
12/08/2022
Multi-Concept Customization of Text-to-Image Diffusion
While generative models produce high-quality images of concepts learned ...
research
∙
10/06/2022
Content-Based Search for Deep Generative Models
The growing proliferation of pretrained generative models has made it in...
research
∙
03/22/2022
Dataset Distillation by Matching Training Trajectories
Dataset distillation is the task of synthesizing a small dataset such th...
research
∙
04/22/2021
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation
We investigate the sensitivity of the Fréchet Inception Distance (FID) s...
research
∙
07/01/2020
Swapping Autoencoder for Deep Image Manipulation
Deep generative models have become increasingly effective at producing r...
research
∙
05/15/2020
Semantic Photo Manipulation with a Generative Image Prior
Despite the recent success of GANs in synthesizing images conditioned on...
research
∙
10/24/2019
Seeing What a GAN Cannot Generate
Despite the success of Generative Adversarial Networks (GANs), mode coll...
research
∙
08/20/2018
Video-to-Video Synthesis
We study the problem of video-to-video synthesis, whose goal is to learn...
research
∙
03/30/2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Image-to-image translation is a class of vision and graphics problems wh...
research
∙
11/21/2016
