Authoring high-quality digital materials is key to realism in 3D renderi...
Because of the diversity in lighting environments, existing illumination...
Lighting effects such as shadows or reflections are key in making synthe...
We present LM-GAN, an HDR sky model that generates photorealistic enviro...
Geometric camera calibration is often required for applications that
und...
Image editing and compositing have become ubiquitous in entertainment, f...
Most indoor 3D scene reconstruction methods focus on recovering 3D geome...
Recent work has demonstrated that volumetric scene representations combi...
We present Neural Reflectance Fields, a novel deep scene representation ...
We propose a learning-based approach for novel view synthesis for
multi-...
We present a deep learning approach to reconstruct scene appearance from...
Caricature, a type of exaggerated artistic portrait, amplifies the
disti...
We present a method to estimate lighting from a single image of an indoo...
We present a neural network that predicts HDR outdoor illumination from ...
We propose a data-driven learned sky model, which we use for outdoor lig...
Photometric Stereo in outdoor illumination remains a challenging, ill-po...
Most current single image camera calibration methods rely on specific im...
We present a CNN-based technique to estimate high-dynamic range outdoor
...