8 citations · 35 across the 20 of their papers we have counts for
6 papers · 1 filter
SVS: Adversarial refinement for sparse novel view synthesis
Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2
This paper proposes Sparse View Synthesis. This is a view synthesis problem where the number of reference views is limited, and the baseline between target and reference view is si…
HyperNST: Hyper-Networks for Neural Style Transfer
Dan Ruta, Andrew Gilbert, Saeid Motiian +3
We present HyperNST; a neural style transfer (NST) technique for the artistic stylization of images, based on Hyper-networks and the StyleGAN2 architecture. Our contribution is a n…
Two-Stream Transformer Architecture for Long Video Understanding
Edward Fish, Jon Weinbren, Andrew Gilbert
Pure vision transformer architectures are highly effective for short video classification and action recognition tasks. However, due to the quadratic complexity of self attention a…
SaiNet: Stereo aware inpainting behind objects with generative networks
Violeta Menéndez González, Andrew Gilbert, Graeme Phillipson +2
In this work, we present an end-to-end network for stereo-consistent image inpainting with the objective of inpainting large missing regions behind objects. The proposed model cons…
StyleBabel: Artistic Style Tagging and Captioning
Dan Ruta, Andrew Gilbert, Pranav Aggarwal +9
We present StyleBabel, a unique open access dataset of natural language captions and free-form tags describing the artistic style of over 135K digital artworks, collected via a nov…
KPE: Keypoint Pose Encoding for Transformer-based Image Generation
Soon Yau Cheong, Armin Mustafa, Andrew Gilbert
Transformers have recently been shown to generate high quality images from text input. However, the existing method of pose conditioning using skeleton image tokens is computationa…