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Found 7 papers, 2 papers with code
Significance of Anatomical Constraints in Virtual Try-On
In general, a VTON system takes a clothing source and a person's image to predict the try-on output of the person in the given clothing.
Significance of Skeleton-based Features in Virtual Try-On
The idea of \textit{Virtual Try-ON} (VTON) benefits e-retailing by giving an user the convenience of trying a clothing at the comfort of their home.
LGVTON: A Landmark Guided Approach to Virtual Try-On
In the first stage, LGVTON warps the clothes of the model using a Thin-Plate Spline (TPS) based transformation to fit the person.
Morphological Networks for Image De-raining
Mathematical morphological methods have successfully been applied to filter out (emphasize or remove) different structures of an image.
Morphological Network: How Far Can We Go with Morphological Neurons?
A few works have tried to utilize morphological neurons as a part of classification (and regression) networks when the input is a feature vector.
Ranked #1 on
Representation Learning
on Circle Data
(using extra training data)
Image Dehazing via Joint Estimation of Transmittance Map and Environmental Illumination
Image dehazing methods try to recover haze-free image by removing the effect of haze from a given input image.
Reconstruction Loss Minimized FCN for Single Image Dehazing
In this paper, we propose a Fully Convolutional Neural Network based model to recover the clear scene radiance by estimating the environmental illumination and the scene transmittance jointly from a hazy image.
