2 citations · 5 across the 4 of their papers we have counts for
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Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a Single Image
Shima Kamyab, Zohreh Azimifar
In this paper, a low parameter deep learning framework utilizing the Non-metric Multi-Dimensional scaling (NMDS) method, is proposed to recover the 3D shape of 2D landmarks on a hu…
Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering
Shima Kamyab, Rasool Sabzi, Zohreh Azimifar
Deep generative models are stochastic neural networks capable of learning the distribution of data so as to generate new samples. Conditional Variational Autoencoder (CVAE) is a po…
End-to-end 3D shape inverse rendering of different classes of objects from a single input image
Shima Kamyab, S. Zohreh Azimifar
In this paper a semi-supervised deep framework is proposed for the problem of 3D shape inverse rendering from a single 2D input image. The main structure of proposed framework cons…
Deep Structure for end-to-end inverse rendering
Shima Kamyab, Ali Ghodsi, S. Zohreh Azimifar
Inverse rendering in a 3D format denoted to recovering the 3D properties of a scene given 2D input image(s) and is typically done using 3D Morphable Model (3DMM) based methods from…