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Found 8 papers, 5 papers with code
Implicit Neural Representation of Tileable Material Textures
Our approach leverages the Fourier series by initializing the first layer of a sinusoidal neural network with integer frequencies with a period $P$.
Neural Implicit Morphing of Face Images
This task consists of a warping for feature alignment and a blending for a seamless transition between the warped images.
Multiresolution Neural Networks for Imaging
We present MR-Net, a general architecture for multiresolution neural networks, and a framework for imaging applications based on this architecture.
Neural Implicit Surface Evolution
For this, it extends the representation of neural implicit surfaces to the space-time $\mathbb{R}^3\times \mathbb{R}$, which opens up mechanisms for continuous geometric transformations.
Exploring Differential Geometry in Neural Implicits
We introduce a neural implicit framework that exploits the differentiable properties of neural networks and the discrete geometry of point-sampled surfaces to approximate them as the level sets of neural implicit functions.
Proceduray -- A light-weight engine for procedural primitive ray tracing
We introduce Proceduray, an engine for real-time ray tracing of procedural geometry.
Graphics 68U05 (Primary) 37-04, 37F10 (Secondary) I.3.7
Deep Reinforcement Learning for High Level Character Control
As the development of the environment is the key for learning, further analysis is conducted of how to build those learning environments, the effects of environment and agent modeling choices, training procedures and generalization of the learned behavior.
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Constructing high-quality generative models for 3D shapes is a fundamental task in computer vision with diverse applications in geometry processing, engineering, and design.
