3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 3 cited
Text2Face: A Multi-Modal 3D Face Model
Will Rowan, Patrik Huber, Nick Pears +1
We present the first 3D morphable modelling approach, whereby 3D face shape can be directly and completely defined using a textual prompt. Building on work in multi-modal learning,…
cs.CV2023
Laplacian ICP for Progressive Registration of 3D Human Head Meshes
Nick Pears, Hang Dai, Will Smith +1
We present a progressive 3D registration framework that is a highly-efficient variant of classical non-rigid Iterative Closest Points (N-ICP). Since it uses the Laplace-Beltrami op…
cs.CV2023★ 1 cited
Accurate Gaze Estimation using an Active-gaze Morphable Model
Hao Sun, Nick Pears
Rather than regressing gaze direction directly from images, we show that adding a 3D shape model can: i) improve gaze estimation accuracy, ii) perform well with lower resolution in…