research
∙
12/14/2022
Projection-Domain Self-Supervision for Volumetric Helical CT Reconstruction
We propose a deep learning method for three-dimensional reconstruction i...
share
research
∙
10/27/2022
Solving Audio Inverse Problems with a Diffusion Model
This paper presents CQT-Diff, a data-driven generative audio model that ...
research
∙
07/04/2022
Disentangling Random and Cyclic Effects in Time-Lapse Sequences
Time-lapse image sequences offer visually compelling insights into dynam...
research
∙
06/07/2022
Generating Long Videos of Dynamic Scenes
We present a video generation model that accurately reproduces object mo...
research
∙
03/11/2022
The Role of ImageNet Classes in Fréchet Inception Distance
Fréchet Inception Distance (FID) is a metric for quantifying the distanc...
research
∙
06/23/2021
Alias-Free Generative Adversarial Networks
We observe that despite their hierarchical convolutional nature, the syn...
research
∙
04/08/2021
Appearance-Driven Automatic 3D Model Simplification
We present a suite of techniques for jointly optimizing triangle meshes ...
research
∙
11/06/2020
Modular Primitives for High-Performance Differentiable Rendering
We present a modular differentiable renderer design that yields performa...
research
∙
06/11/2020
Training Generative Adversarial Networks with Limited Data
Training generative adversarial networks (GAN) using too little data typ...
research
∙
04/06/2020
GANSpace: Discovering Interpretable GAN Controls
This paper describes a simple technique to analyze Generative Adversaria...
research
∙
12/03/2019
Analyzing and Improving the Image Quality of StyleGAN
The style-based GAN architecture (StyleGAN) yields state-of-the-art resu...
research
∙
08/03/2019
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Many machine learning models operate on images, but ignore the fact that...
research
∙
06/10/2019
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles
It has been recently shown that the hidden variables of convolutional ne...
research
∙
05/05/2019
Few-Shot Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation methods learn to map images in a...
research
∙
04/15/2019
Improved Precision and Recall Metric for Assessing Generative Models
The ability to evaluate the performance of a computational model is a vi...
research
∙
01/29/2019
Self-Supervised Deep Image Denoising
We describe techniques for training high-quality image denoising models ...
research
∙
10/05/2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
Proximal Policy Optimization (PPO) is a highly popular model-free reinfo...
research
∙
03/12/2018
Noise2Noise: Learning Image Restoration without Clean Data
We apply basic statistical reasoning to signal reconstruction by machine...
research
∙
10/27/2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation
We describe a new training methodology for generative adversarial networ...
research
∙
09/21/2016