2 citations · 2 across the 4 of their papers we have counts for
6 papers
FuseAlign: Forced Alignment in the Wild
Mithilesh Vaidya, Stephen Bailey, Sumukh Badam +2
Word-level forced alignment estimates when each transcript word occurs in an audio recording. It underpins text-based media editing, subtitling, speech-data curation, and phonetic…
Goodbye Drift: Anchored Tree Sampling for Long-Horizon Video-to-Video Generation
Matthew Bendel, Stephen W. Bailey, Mithilesh Vaidya +2
Long-horizon video generation suffers from two intertwined issues. First, there is drift, where video quality degrades over time. Second, there are continuity issues which manifest…
PoDAR: Power-Decoupled Audio Representation for Generative Modeling
Alejandro Luebs, Mithilesh Vaidya, Ishaan Kumar +5
The performance of audio latent diffusion models is primarily governed by generator expressivity and the modelability of the underlying latent space. While recent research has focu…
Solving Inverse Problems using Diffusion with Iterative Colored Renoising
Matt C. Bendel, Saurav K. Shastri, Rizwan Ahmad +1
Imaging inverse problems can be solved in an unsupervised manner using pre-trained diffusion models, but doing so requires approximating the gradient of the measurement-conditional…
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
Matthew C. Bendel, Rizwan Ahmad, Philip Schniter
In ill-posed imaging inverse problems, there can exist many hypotheses that fit both the observed measurements and prior knowledge of the true image. Rather than returning just one…
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Matthew Bendel, Rizwan Ahmad, Philip Schniter
In image recovery problems, one seeks to infer an image from distorted, incomplete, and/or noise-corrupted measurements. Such problems arise in magnetic resonance imaging (MRI), co…