71 citations · 152 across the 9 of their papers we have counts for
11 papers
Urban Radiance Fields
Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan +4
The goal of this work is to perform 3D reconstruction and novel view synthesis from data captured by scanning platforms commonly deployed for world mapping in urban outdoor environ…
ShaRF: Shape-conditioned Radiance Fields from a Single View
Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
We present a method for estimating neural scenes representations of objects given only a single image. The core of our method is the estimation of a geometric scaffold for the obje…
From Points to Multi-Object 3D Reconstruction
Francis Engelmann, Konstantinos Rematas, Bastian Leibe +1
We propose a method to detect and reconstruct multiple 3D objects from a single RGB image. The key idea is to optimize for detection, alignment and shape jointly over all objects i…
Reconstructing NBA Players
Luyang Zhu, Konstantinos Rematas, Brian Curless +2
Great progress has been made in 3D body pose and shape estimation from a single photo. Yet, state-of-the-art results still suffer from errors due to challenging body poses, modelin…
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool
Konstantinos Rematas, Vittorio Ferrari
We present a neural rendering framework that maps a voxelized scene into a high quality image. Highly-textured objects and scene element interactions are realistically rendered by…
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections
Keunhong Park, Konstantinos Rematas, Ali Farhadi +1
Existing online 3D shape repositories contain thousands of 3D models but lack photorealistic appearance. We present an approach to automatically assign high-quality, realistic appe…
Soccer on Your Tabletop
Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless +1
We present a system that transforms a monocular video of a soccer game into a moving 3D reconstruction, in which the players and field can be rendered interactively with a 3D viewe…
What Is Around The Camera?
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel +3
How much does a single image reveal about the environment it was taken in? In this paper, we investigate how much of that information can be retrieved from a foreground object, com…
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel +3
In this paper we are extracting surface reflectance and natural environmental illumination from a reflectance map, i.e. from a single 2D image of a sphere of one material under one…
Novel Views of Objects from a Single Image
Konstantinos Rematas, Chuong Nguyen, Tobias Ritschel +2
Taking an image of an object is at its core a lossy process. The rich information about the three-dimensional structure of the world is flattened to an image plane and decisions su…
Deep Reflectance Maps
Konstantinos Rematas, Tobias Ritschel, Mario Fritz +2
Undoing the image formation process and therefore decomposing appearance into its intrinsic properties is a challenging task due to the under-constraint nature of this inverse prob…