20 citations · 34 across the 8 of their papers we have counts for
7 papers · 1 filter
FMS: Unified Flow Matching for Segmentation and Synthesis of Thin Structures
Babak Asadi, Peiyang Wu, Mani Golparvar-Fard +2
Segmenting thin structures like infrastructure cracks and anatomical vessels is a task hampered by topology-sensitive geometry, high annotation costs, and poor generalization acros…
JoIN: Joint GANs Inversion for Intrinsic Image Decomposition
Viraj Shah, Svetlana Lazebnik, Julien Philip
Intrinsic Image Decomposition (IID) is a challenging inverse problem that seeks to decompose a natural image into its underlying intrinsic components such as albedo and shading. Wh…
Make It So: Steering StyleGAN for Any Image Inversion and Editing
Anand Bhattad, Viraj Shah, Derek Hoiem +1
StyleGAN's disentangled style representation enables powerful image editing by manipulating the latent variables, but accurately mapping real-world images to their latent variables…
MultiStyleGAN: Multiple One-shot Image Stylizations using a Single GAN
Viraj Shah, Ayush Sarkar, Sudharsan Krishnakumar Anitha +1
Image stylization aims at applying a reference style to arbitrary input images. A common scenario is one-shot stylization, where only one example is available for each reference st…
Near Perfect GAN Inversion
Qianli Feng, Viraj Shah, Raghudeep Gadde +2
To edit a real photo using Generative Adversarial Networks (GANs), we need a GAN inversion algorithm to identify the latent vector that perfectly reproduces it. Unfortunately, wher…
CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data
Kalina Borkiewicz, Viraj Shah, J. P. Naiman +3
Artifact removal is an integral component of cinematic scientific visualization, and is especially challenging with big datasets in which artifacts are difficult to define. In this…