We present a user-assisted video stabilization algorithm that is able to stabilize challenging videos when stateof- the-art automatic algorithms fail to generate a satisfactory result. Current methods do not give the user ...

We present a new approach to microfacet-based BSDF importance sampling. Previously proposed sampling schemes for popular analytic BSDFs typically begin by choosing a microfacet normal at random in a way that is independent ...

We present an example-based approach to rendering hand-colored animations which delivers visual richness comparable to real artwork while enabling control over the amount of perceived temporal noise. This is important both ...

We present an interactive approach for decompositing bitmap drawings and studio photographs into opaque and semi-transparent vector layers. Semi-transparent layers are especially challenging to extract, since they require ...

We present a novel appearance model for paper. Based on our appearance measurements for matte and glossy paper, we find that paper exhibits a combination of subsurface scattering, specular reflection, retroreflection, and ...

Light refracted by a dispersive interface leads to beautifully colored patterns that can be rendered faithfully with spectral Monte-Carlo methods. Regrettably, results often suffer from chromatic noise or banding, requiring ...

We explore creating smooth transitions between videos of different scenes. As in traditional image morphing, good spatial correspondence is crucial to prevent ghosting, especially at silhouettes. Video morphing presents ...

Evaluating the visibility between two points is a fundamental problem for ray-tracing and path-tracing algorithms. Ideally, visibility computations are organized such that a minimum number of geometric primitives need to ...

Light field reconstruction algorithms can substantially decrease the noise in stochastically rendered images. Recent algorithms for defocus blur alone are both fast and accurate. However, motion blur is a considerably more ...