Search Results for author:
Found 6 papers, 4 papers with code
HRTF Estimation in the Wild
Our approach offers an efficient and accessible method for deriving personalized HRTFs and has the potential to greatly improve spatial audio experiences.
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
This paper introduces an alternative approach to sampling from autoregressive models.
The Cone of Silence: Speech Separation by Localization
Given a multi-microphone recording of an unknown number of speakers talking concurrently, we simultaneously localize the sources and separate the individual speakers.
Background Matting: The World is Your Green Screen
To bridge the domain gap to real imagery with no labeling, we train another matting network guided by the first network and by a discriminator that judges the quality of composites.
Ranked #1 on
Image Matting
on Adobe Matting
Real-Time Camera Pose Estimation for Sports Fields
Given an image sequence featuring a portion of a sports field filmed by a moving and uncalibrated camera, such as the one of the smartphones, our goal is to compute automatically in real time the focal length and extrinsic camera parameters for each image in the sequence without using a priori knowledges of the position and orientation of the camera.
Source Separation with Deep Generative Priors
This paper introduces a Bayesian approach to source separation that uses generative models as priors over the components of a mixture of sources, and noise-annealed Langevin dynamics to sample from the posterior distribution of sources given a mixture.
