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Found 6 papers, 2 papers with code
Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations
Such representations along with 3D tracking can be used as self-supervision to train a generator with control over coarse expressions and finer facial attributes.
Gauge Equivariant Spherical CNNs
Spherical CNNs are convolutional neural networks that can process signals on the sphere, such as global climate and weather patterns or omnidirectional images.
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
The principle of equivariance to symmetry transformations enables a theoretically grounded approach to neural network architecture design.
Ranked #23 on
Semantic Segmentation
on Stanford2D3D Panoramic
A Layer-Based Sequential Framework for Scene Generation with GANs
The visual world we sense, interpret and interact everyday is a complex composition of interleaved physical entities.
Estimating Small Differences in Car-Pose from Orbits
The generated orbit in the latent space records all the differences in pose in the original observational space, and as a result, the method is capable of finding subtle differences in pose.
On the Dynamics of a Recurrent Hopfield Network
In this research paper novel real/complex valued recurrent Hopfield Neural Network (RHNN) is proposed.
