49 citations · 49 across the 2 of their papers we have counts for
6 papers
VoluMe -- Authentic 3D Video Calls from Live Gaussian Splat Prediction
Martin de La Gorce, Charlie Hewitt, Tibor Takacs +6
Virtual 3D meetings offer the potential to enhance copresence, increase engagement and thus improve effectiveness of remote meetings compared to standard 2D video calls. However, r…
Hairmony: Fairness-aware hairstyle classification
Givi Meishvili, James Clemoes, Charlie Hewitt +9
We present a method for prediction of a person's hairstyle from a single image. Despite growing use cases in user digitization and enrollment for virtual experiences, available met…
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni, Givi Meishvili, Paolo Favaro
We introduce a novel self-supervised learning approach to learn representations of videos that are responsive to changes in the motion dynamics. Our representations can be learned…
Unsupervised Generative 3D Shape Learning from Natural Images
Attila Szabó, Givi Meishvili, Paolo Favaro
In this paper we present, to the best of our knowledge, the first method to learn a generative model of 3D shapes from natural images in a fully unsupervised way. For example, we d…
Learning to Have an Ear for Face Super-Resolution
Givi Meishvili, Simon Jenni, Paolo Favaro
We propose a novel method to use both audio and a low-resolution image to perform extreme face super-resolution (a 16x increase of the input size). When the resolution of the input…
Learning to Extract a Video Sequence from a Single Motion-Blurred Image
Meiguang Jin, Givi Meishvili, Paolo Favaro
We present a method to extract a video sequence from a single motion-blurred image. Motion-blurred images are the result of an averaging process, where instant frames are accumulat…