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20172021
most citedLeast squares surface reconstruction on arbitrary domains

3 citations · 5 across the 5 of their papers we have counts for

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11 papers · 1 filter

cs.CV2021

Self-supervised Outdoor Scene Relighting

Ye Yu, Abhimitra Meka, Mohamed Elgharib +3

Outdoor scene relighting is a challenging problem that requires good understanding of the scene geometry, illumination and albedo. Current techniques are completely supervised, req…

cs.CV2021

Outdoor inverse rendering from a single image using multiview self-supervision

Ye Yu, William A. P. Smith

In this paper we show how to perform scene-level inverse rendering to recover shape, reflectance and lighting from a single, uncontrolled image using a fully convolutional neural n…

cs.CV20203 cited

Least squares surface reconstruction on arbitrary domains

Dizhong Zhu, William A P Smith

Almost universally in computer vision, when surface derivatives are required, they are computed using only first order accurate finite difference approximations. We propose a new m…

cs.CV2019

Towards a complete 3D morphable model of the human head

Stylianos Ploumpis, Evangelos Ververas, Eimear O' Sullivan +6

Three-dimensional Morphable Models (3DMMs) are powerful statistical tools for representing the 3D shapes and textures of an object class. Here we present the most complete 3DMM of…

cs.CV2019

3D Morphable Face Models -- Past, Present and Future

Bernhard Egger, William A. P. Smith, Ayush Tewari +10

In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, name…

cs.CV20192 cited

Depth from a polarisation + RGB stereo pair

Dizhong Zhu, William A. P. Smith

In this paper, we propose a hybrid depth imaging system in which a polarisation camera is augmented by a second image from a standard digital camera. For this modest increase in eq…