Augmented reality (AR) has proven to be an invaluable interactive medium to reduce
cognitive load by bridging the gap between the task-at-hand and relevant information by …

Photorealistic editing of outdoor scenes from photographs requires a profound
understanding of the image formation process and an accurate estimation of the scene …

We propose SDFDiff, a novel approach for image-based shape optimization using
differentiable rendering of 3D shapes represented by signed distance functions (SDFs) …

Compositing a person into a scene to look like they are really there is a fundamental
technique in visual effects, with many other applications such as smartphone photography …

We propose a deep inverse rendering framework for indoor scenes. From a single RGB
image of an arbitrary indoor scene, we obtain a complete scene reconstruction, estimating …

Reconstructing shape and reflectance properties from images is a highly under-constrained
problem, and has previously been addressed by using specialized hardware to capture …

We present a method to estimate lighting from a single image of an indoor scene. Previous
work has used an environment map representation that does not account for the localized …

Abstract Physics-based differentiable rendering---which is concerned with estimating
derivatives of photorealistic rendering with respect to arbitrary scene parameters---has a …

Specular highlight detection and removal are fundamental and challenging tasks. Although
recent methods achieve promising results on the two tasks by supervised training on …

We present a learning-based method to infer plausible high dynamic range (HDR),
omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a …