Marcus A. Brubaker | DeepAI

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Featured Co-authors

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∙ 09/16/2023

Dual-Camera Joint Deblurring-Denoising

Recent image enhancement methods have shown the advantages of using a pa...

0 Shayan Shekarforoush, et al. ∙

∙ 08/17/2023

Watch Your Steps: Local Image and Scene Editing by Text Instructions

Denoising diffusion models have enabled high-quality image generation an...

0 Ashkan Mirzaei, et al. ∙

∙ 04/21/2023

Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models

Novel view synthesis from a single input image is a challenging task, wh...

0 Jason J. Yu, et al. ∙

∙ 04/19/2023

Reference-guided Controllable Inpainting of Neural Radiance Fields

The popularity of Neural Radiance Fields (NeRFs) for view synthesis has ...

0 Ashkan Mirzaei, et al. ∙

∙ 11/22/2022

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

Neural Radiance Fields (NeRFs) have emerged as a popular approach for no...

0 Ashkan Mirzaei, et al. ∙

∙ 06/03/2022

Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata

Most camera images are rendered and saved in the standard RGB (sRGB) for...

0 Seonghyeon Nam, et al. ∙

∙ 06/02/2022

Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images

Image noise modeling is a long-standing problem with many applications i...

0 Ali Maleky, et al. ∙

∙ 06/02/2022

Modeling sRGB Camera Noise with Normalizing Flows

Noise modeling and reduction are fundamental tasks in low-level computer...

0 Shayan Kousha, et al. ∙

∙ 06/01/2022

Residual Multiplicative Filter Networks for Multiscale Reconstruction

Coordinate networks like Multiplicative Filter Networks (MFNs) and BACON...

0 Shayan Shekarforoush, et al. ∙

∙ 10/25/2021

Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals

Markov Chain Monte Carlo (MCMC) methods are a powerful tool for computat...

0 James A. Brofos, et al. ∙

∙ 09/17/2021

Auto White-Balance Correction for Mixed-Illuminant Scenes

Auto white balance (AWB) is applied by camera hardware at capture time t...

12 Mahmoud Afifi, et al. ∙

∙ 08/02/2021

Neural Image Representations for Multi-Image Fusion and Layer Separation

We propose a framework for aligning and fusing multiple images into a si...

18 Seonghyeon Nam, et al. ∙

∙ 06/30/2021

Zero-shot Learning with Class Description Regularization

The purpose of generative Zero-shot learning (ZSL) is to learning from s...

0 Shayan Kousha, et al. ∙

∙ 06/29/2021

Continuous Latent Process Flows

Partial observations of continuous time-series dynamics at arbitrary tim...

0 Ruizhi Deng, et al. ∙

∙ 06/26/2021

CAMS: Color-Aware Multi-Style Transfer

Image style transfer aims to manipulate the appearance of a source image...

11 Mahmoud Afifi, et al. ∙

∙ 02/14/2021

Manifold Density Estimation via Generalized Dequantization

Density estimation is an important technique for characterizing distribu...

0 James A. Brofos, et al. ∙

∙ 11/23/2020

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

While generative adversarial networks (GANs) can successfully produce hi...

6 Mahmoud Afifi, et al. ∙

∙ 10/26/2020

Wavelet Flow: Fast Training of High Resolution Normalizing Flows

Normalizing flows are a class of probabilistic generative models which a...

0 Jason J. Yu, et al. ∙

∙ 10/20/2020

Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model

We present a probabilistic framework to generate character animations ba...

0 Saeed Ghorbani, et al. ∙

∙ 02/24/2020

Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows

Normalizing flows transform a simple base distribution into a complex ta...

7 Ruizhi Deng, et al. ∙

∙ 02/24/2020

Variational Hyper RNN for Sequence Modeling

In this work, we propose a novel probabilistic sequence model that excel...

23 Ruizhi Deng, et al. ∙

∙ 08/25/2019

Normalizing Flows: Introduction and Ideas

Normalizing Flows are generative models which produce tractable distribu...

0 Ivan Kobyzev, et al. ∙

∙ 08/22/2019

Noise Flow: Noise Modeling with Conditional Normalizing Flows

Modeling and synthesizing image noise is an important aspect in many com...

12 Abdelrahman Abdelhamed, et al. ∙

∙ 12/04/2018

Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture

We propose a generative approach to physics-based motion capture. Unlike...

0 Micha Livne, et al. ∙

∙ 06/21/2017

Two-Stream Convolutional Networks for Dynamic Texture Synthesis

We introduce a two-stream model for dynamic texture synthesis. Our model...

0 Matthew Tesfaldet, et al. ∙

∙ 06/23/2016

Find your Way by Observing the Sun and Other Semantic Cues

In this paper we present a robust, efficient and affordable approach to ...

0 Wei-Chiu Ma, et al. ∙

∙ 04/14/2015

Building Proteins in a Day: Efficient 3D Molecular Reconstruction

Discovering the 3D atomic structure of molecules such as proteins and vi...

0 Marcus A. Brubaker, et al. ∙

∙ 01/19/2015

Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM

Determining the 3D structures of biological molecules is a key problem f...

0 Ali Punjani, et al. ∙

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