activity
20172023
most citedGuided Co-Modulated GAN for 360° Field of View Extrapolation

24 citations · 48 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 4 cited

EverLight: Indoor-Outdoor Editable HDR Lighting Estimation

Mohammad Reza Karimi Dastjerdi, Jonathan Eisenmann, Yannick Hold-Geoffroy +1

Because of the diversity in lighting environments, existing illumination estimation techniques have been designed explicitly on indoor or outdoor environments. Methods have focused…

cs.CV2022★ 24 cited

Guided Co-Modulated GAN for 360° Field of View Extrapolation

Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Jonathan Eisenmann +2

We propose a method to extrapolate a 360° field of view from a single image that allows for user-controlled synthesis of the out-painted content. To do so, we propose improvements…

cs.CV2020★ 1 cited

Single View Metrology in the Wild

Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy +4

Most 3D reconstruction methods may only recover scene properties up to a global scale ambiguity. We present a novel approach to single view metrology that can recover the absolute…

cs.CV2019★ 9 cited

UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images

Wenqi Xian, Zhengqi Li, Matthew Fisher +3

We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene. Unlike recent methods that leverage deep learn…

cs.CV2019★ 10 cited

All-Weather Deep Outdoor Lighting Estimation

Jinsong Zhang, Kalyan Sunkavalli, Yannick Hold-Geoffroy +3

We present a neural network that predicts HDR outdoor illumination from a single LDR image. At the heart of our work is a method to accurately learn HDR lighting from LDR panoramas…

cs.CV2017

A Perceptual Measure for Deep Single Image Camera Calibration

Yannick Hold-Geoffroy, Kalyan Sunkavalli, Jonathan Eisenmann +4

Most current single image camera calibration methods rely on specific image features or user input, and cannot be applied to natural images captured in uncontrolled settings. We pr…