research
∙
07/04/2023
Consistent Multimodal Generation via A Unified GAN Framework
We investigate how to generate multimodal image outputs, such as RGB, de...
share
research
∙
02/28/2023
Towards Enhanced Controllability of Diffusion Models
Denoising Diffusion models have shown remarkable capabilities in generat...
research
∙
02/24/2023
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
We present multimodal conditioning modules (MCM) for enabling conditiona...
research
∙
02/06/2023
Zero-shot Image-to-Image Translation
Large-scale text-to-image generative models have shown their remarkable ...
research
∙
11/17/2022
UMFuse: Unified Multi View Fusion for Human Editing applications
The vision community has explored numerous pose guided human editing met...
research
∙
11/13/2022
VGFlow: Visibility guided Flow Network for Human Reposing
The task of human reposing involves generating a realistic image of a pe...
research
∙
11/04/2022
Contrastive Learning for Diverse Disentangled Foreground Generation
We introduce a new method for diverse foreground generation with explici...
research
∙
06/16/2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Existing GAN inversion and editing methods work well for aligned objects...
research
∙
03/28/2022
GIRAFFE HD: A High-Resolution 3D-aware Generative Model
3D-aware generative models have shown that the introduction of 3D inform...
research
∙
03/14/2022
InsetGAN for Full-Body Image Generation
While GANs can produce photo-realistic images in ideal conditions for ce...
research
∙
11/10/2021
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
Synthesizing dynamic appearances of humans in motion plays a central rol...
research
∙
10/08/2021
Collaging Class-specific GANs for Semantic Image Synthesis
We propose a new approach for high resolution semantic image synthesis. ...
research
∙
04/13/2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion
We introduce an inversion based method, denoted as IMAge-Guided model IN...
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
∙
01/09/2020
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias
Existing models often leverage co-occurrences between objects and their ...
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
∙
11/06/2018
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond
We propose 'Hide-and-Seek' a general purpose data augmentation technique...
research
∙
04/03/2018
Transferring Common-Sense Knowledge for Object Detection
We propose the idea of transferring common-sense knowledge from source c...
research
∙
05/25/2017
Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
Content popularity prediction has been extensively studied due to its im...
research
∙
08/09/2016
End-to-End Localization and Ranking for Relative Attributes
We propose an end-to-end deep convolutional network to simultaneously lo...
research
∙
04/19/2016
