61 citations · 108 across the 14 of their papers we have counts for
8 papers · 1 filter
Improved StyleGAN Embedding: Where are the Good Latents?
Peihao Zhu, Rameen Abdal, Yipeng Qin +2
StyleGAN is able to produce photorealistic images that are almost indistinguishable from real photos. The reverse problem of finding an embedding for a given image poses a challeng…
Generative Layout Modeling using Constraint Graphs
Wamiq Para, Paul Guerrero, Tom Kelly +2
We propose a new generative model for layout generation. We generate layouts in three steps. First, we generate the layout elements as nodes in a layout graph. Second, we compute c…
Structured Regularization of Functional Map Computations
Jing Ren, Mikhail Panine, Peter Wonka +1
We consider the problem of non-rigid shape matching using the functional map framework. Specifically, we analyze a commonly used approach for regularizing functional maps, which co…
Channel-Directed Gradients for Optimization of Convolutional Neural Networks
Dong Lao, Peihao Zhu, Peter Wonka +1
We introduce optimization methods for convolutional neural networks that can be used to improve existing gradient-based optimization in terms of generalization error. The method re…
MapTree: Recovering Multiple Solutions in the Space of Maps
Jing Ren, Simone Melzi, Maks Ovsjanikov +1
In this paper we propose an approach for computing multiple high-quality near-isometric dense correspondences between a pair of 3D shapes. Our method is fully automatic and does no…
Disentangled Image Generation Through Structured Noise Injection
Yazeed Alharbi, Peter Wonka
We explore different design choices for injecting noise into generative adversarial networks (GANs) with the goal of disentangling the latent space. Instead of traditional approach…