Search Results for author:
Found 4 papers, 3 papers with code
Generating Diverse 3D Reconstructions from a Single Occluded Face Image
Furthermore, while a plurality of 3D reconstructions is plausible in the occluded regions, existing approaches are limited to generating only a single solution.
3DFaceFill: An Analysis-By-Synthesis Approach to Face Completion
Existing face completion solutions are primarily driven by end-to-end models that directly generate 2D completions of 2D masked faces.
RankGAN: A Maximum Margin Ranking GAN for Generating Faces
We present a new stage-wise learning paradigm for training generative adversarial networks (GANs).
Gate-Variants of Gated Recurrent Unit (GRU) Neural Networks
The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNN) by reducing parameters in the update and reset gates.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
