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Found 5 papers, 1 papers with code
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).
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.
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.
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
