In the study of image and vision computing, the generalization capability of an algorithm
often determines whether it is able to work well in complex scenes. The goal of this review …

Crowdsourced 3D CAD models are easily accessible online, and can potentially generate
an infinite number of training images for almost any object category. We show that …

Recent years have witnessed a surge in the popularity of Machine Learning (ML), applied
across diverse domains. However, progress is impeded by the scarcity of training data due …

Abstract A Neural Radiance Field (NeRF) encodes the specific relation of 3D geometry and
appearance of a scene. We here ask the question whether we can transfer the appearance …

We propose a novel approach to synthesizing images that are effective for training object
detectors. Starting from a small set of real images, our algorithm estimates the rendering …

Video games are a compelling source of annotated data as they can readily provide fine-
grained groundtruth for diverse tasks. However, it is not clear whether the synthetically …

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 …

In this paper, we present a method that estimates reflectance and illumination information
from a single image depicting a single-material specular object from a given class under …

We introduce a novel approach to example-based stylization of portrait videos that
preserves both the subject's identity and the visual richness of the input style exemplar …

Recent progress in computer vision has been dominated by deep neural networks trained
over larges amount of labeled data. Collecting such datasets is however a tedious, often …