Microsoft Research

Modern statistical machine learning (SML) methods share a major limitation with the early approaches to AI: there is no scalable way to adapt them to new domains.

Modern statistical machine learning (SML) methods share a major limitation with the early approaches to AI: there is no scalable way to adapt them to new domains.

The advent of inexpensive digital image sensors, and the ability to create photographs that combine information from a number of sensed images, is changing the way we think about photography.

We present an algorithm and a system for high-quality natural video matting using a camera array.

Defocus matting is a fully automatic and passive method for pulling mattes from video captured with coaxial cameras that have different depths of field and planes of focus.

We address the problem of reconstructing the 3-D shape of a Lambertian surface from multiple images acquired as an object rotates under distant and possibly varying illumination.

Occlusion is a significant challenge for many tracking algorithms.

We describe a framework for improving the quality of personal photos by using a person's favorite photographs as examples.

Given a short video we create a representation that captures a spectrum of looping videos with varying levels of dynamism, ranging from a static image to a highly animated loop.

Movie directors and cinematographers impart style onto video using techniques that are learned through years of experience: camera movement, framing, color, lighting, etc.

Long videos can be played much faster than real-time by recording only one frame per second or by dropping all but one frame each second, i.e., by creating a timelapse.

In this paper we present SubEdit, a representation for editing the BSSRDF of heterogeneous subsurface scattering acquired from real-world samples.

We present a solution for viewing high dynamic range (HDR) images with spatially-varying distributions of glossy materials printed on reflective media.

Existing solid texture synthesis algorithms generate a full volume of color content from a set of 2D example images.

We propose a kernel Nyström method for reconstructing the light transport matrix from a relatively small number of acquired images.

The appearance manifold [WTL*06] is an efficient approach for modeling and editing time-variant appearance of materials from the BRDF data captured at single time instance.

Many real world surfaces exhibit translucent appearance due to subsurface scattering.

We present radiance regression functions for fast rendering of global illumination in scenes with dynamic local light sources.

We present a real-time solution for generating detailed clothing deformations from pre-computed clothing shape examples.

We propose an efficient method for editing bidirectional texture functions (BTFs) based on edit propagation scheme. In our approach, users specify sparse edits on a certain slice of BTF.

Dynamic hair strands have complex structures and experience intricate collisions and occlusion, posing significant challenges for high-quality reconstruction of their motions.

Many natural phenomena consist of geometric elements with dynamic motions characterized by small scale repetitions over large scale structures, such as particles, herds, threads, and sheets.

A variety of phenomena can be characterized by repetitive small scale elements within a large scale domain. Examples include a stack of fresh produce, a plate of spaghetti, or a mosaic pattern.

We introduce a vector representation called diffusion curve textures for mapping diffusion curve images (DCI) onto arbitrary surfaces.

3D printers have become popular in recent years and enable fabrication of custom objects for home users. However, the cost of the material used in printing remains high.

Recent advances in laser scanning technology have made it possible to faithfully scan a real object with tiny geometric details, such as pores and wrinkles.

BodyAvatar is a Kinect-based interactive system that allows users without professional skills to create freeform 3D avatars using body gestures.

Surfaces in the real world exhibit complex appearance due to spatial variations in both their reflectance and local shading frames (i.e.

This paper presents a facial performance capture system that automatically captures high-fidelity facial performances using uncontrolled monocular videos (e.g., Internet videos).

We propose a method for retargeting measured materials, where a source measured material is edited by applying the reflectance functions of a template measured dataset.