research
∙
02/24/2023
Modulating Pretrained Diffusion Models for Multimodal Image Synthesis
We present multimodal conditioning modules (MCM) for enabling conditiona...
share
research
∙
05/24/2022
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions
We present ASSET, a neural architecture for automatically modifying an i...
research
∙
02/05/2021
CharacterGAN: Few-Shot Keypoint Character Animation and Reposing
We introduce CharacterGAN, a generative model that can be trained on onl...
research
∙
01/25/2021
Adversarial Text-to-Image Synthesis: A Review
With the advent of generative adversarial networks, synthesizing images ...
research
∙
06/24/2020
Crossmodal Language Grounding in an Embodied Neurocognitive Model
Human infants are able to acquire natural language seemingly easily at a...
research
∙
03/25/2020
Improved Techniques for Training Single-Image GANs
Recently there has been an interest in the potential of learning generat...
research
∙
10/29/2019
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Generative adversarial networks conditioned on simple textual image desc...
research
∙
08/21/2019
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples
Adversarial examples are artificially modified input samples which lead ...
research
∙
01/03/2019
Generating Multiple Objects at Spatially Distinct Locations
Recent improvements to Generative Adversarial Networks (GANs) have made ...
research
∙
07/19/2018
Speeding up the Hyperparameter Optimization of Deep Convolutional Neural Networks
Most learning algorithms require the practitioner to manually set the va...
research
∙
03/28/2018
Image Generation and Translation with Disentangled Representations
Generative models have made significant progress in the tasks of modelin...
research
∙
03/07/2018