Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

We address the problem of recovering the shape and spatially-varying reflectance of an
object from multi-view images (and their camera poses) of an object illuminated by one …

Deep learning has significantly improved 2D image recognition. Extending into 3D may
advance many new applications including autonomous vehicles, virtual and augmented …

There are billions of photographs on the Internet, representing an extremely large, rich, and
nearly comprehensive visual record of virtually every famous place on Earth. Unfortunately …

In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackle the problem
of reconstructing the full 3D mesh of a human hand from a single RGB image. In contrast to …

In this paper, we focus on the problem of rendering novel views from a Neural Radiance
Field (NeRF) under unobserved light conditions. To this end, we introduce a novel dataset …

I present a data-driven model for isotropic bidirectional reflectance distribution functions
(BRDFs) based on acquired reflectance data. Instead of using analytic reflectance models …

Given a set of images of a scene, the re-rendering of this scene from novel views and
lighting conditions is an important and challenging problem in Computer Vision and …

Photorealistic rendering of real world environments is important in a range of different areas;
including Visual Special effects, Interior/Exterior Modelling, Architectural Modelling, Cultural …

Realism in computer-generated images requires accurate input models for lighting, textures
and BRDFs. One of the best ways of obtaining high-quality data is through measurements of …