Search Results for author:
Found 5 papers, 1 papers with code
Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting
Relighting an outdoor scene is challenging due to the diverse illuminations and salient cast shadows.
AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search
Sponsored search advertisements (ads) appear next to search results when consumers look for products and services on search engines.
Ranked #3 on
Image-text matching
on CommercialAdsDataset
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
We introduce a new general identifiable framework for principled disentanglement referred to as Structured Nonlinear Independent Component Analysis (SNICA).
DeRenderNet: Intrinsic Image Decomposition of Urban Scenes with Shape-(In)dependent Shading Rendering
We propose DeRenderNet, a deep neural network to decompose the albedo and latent lighting, and render shape-(in)dependent shadings, given a single image of an outdoor urban scene, trained in a self-supervised manner.
Spatially-Varying Outdoor Lighting Estimation from Intrinsics
We train a deep neural network to regress intrinsic cues with physically-based constraints and use them to conduct global and local lightings estimation.
