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Found 6 papers, 1 papers with code
EverLight: Indoor-Outdoor Editable HDR Lighting Estimation
In this work, we propose to bridge the gap between these recent trends in the literature, and propose a method which combines a parametric light model with 360{\deg} panoramas, ready to use as HDRI in rendering engines.
Guided Co-Modulated GAN for 360° Field of View Extrapolation
We propose a method to extrapolate a 360{\deg} field of view from a single image that allows for user-controlled synthesis of the out-painted content.
Single View Metrology in the Wild
Most 3D reconstruction methods may only recover scene properties up to a global scale ambiguity.
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images
We introduce UprightNet, a learning-based approach for estimating 2DoF camera orientation from a single RGB image of an indoor scene.
All-Weather Deep Outdoor Lighting Estimation
We use this network to label a large-scale dataset of LDR panoramas with lighting parameters and use them to train our single image outdoor lighting estimation network.
A Perceptual Measure for Deep Single Image Camera Calibration
This network is trained using automatically generated samples from a large-scale panorama dataset, and considerably outperforms other methods, including recent deep learning-based approaches, in terms of standard L2 error.
