9 citations · 21 across the 5 of their papers we have counts for
7 papers
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art
Faizan Farooq Khan, Diana Kim, Divyansh Jha +5
Discovering the creative potentials of a random signal to various artistic expressions in aesthetic and conceptual richness is a ground for the recent success of generative machine…
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
Wenxuan Zhang, Paul Janson, Kai Yi +2
Learning novel concepts, remembering previous knowledge, and adapting it to future tasks occur simultaneously throughout a human's lifetime. To model such comprehensive abilities,…
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2
Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny
Videos show continuous events, yet most if not all video synthesis frameworks treat them discretely in time. In this work, we think of videos of what they should be tim…
Aligning Latent and Image Spaces to Connect the Unconnectable
Ivan Skorokhodov, Grigorii Sotnikov, Mohamed Elhoseiny
In this work, we develop a method to generate infinite high-resolution images with diverse and complex content. It is based on a perfectly equivariant generator with synchronous in…
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation
Divyansh Jha, Kai Yi, Ivan Skorokhodov +1
We propose a novel loss for generative models, dubbed as GRaWD (Generative Random Walk Deviation), to improve learning representations of unexplored visual spaces. Quality learning…
Adversarial Generation of Continuous Images
Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny
In most existing learning systems, images are typically viewed as 2D pixel arrays. However, in another paradigm gaining popularity, a 2D image is represented as an implicit neural…
Class Normalization for (Continual)? Generalized Zero-Shot Learning
Ivan Skorokhodov, Mohamed Elhoseiny
Normalization techniques have proved to be a crucial ingredient of successful training in a traditional supervised learning regime. However, in the zero-shot learning (ZSL) world,…