Disney Research Studios

This paper introduces a method to simultaneously optimize design and control parameters for legged robots to improve the performance of locomotion based tasks.

In this paper, we expand the range of applications for content-aware weights to the multi-image setting and improve the quality of the recently proposed weights and the matching framework.

We present ratio tracking and residual tracking, two complementary techniques that can be combined into an efficient, unbiased estimator for evaluating transmittance in complex heterogeneous media.

Mobile phones can use their cameras and flashlight Light Emitting Diodes (LEDs) to exchange messages with low complex Visible Light Communication (VLC) networks, but these interfaces impose serious restrictions when used in a VLC network. In this paper we discuss how to extend mobile phones or tablets with a small peripheral device that is battery-free, uses only passive components, and offers VLC capabilities at the required data rate (kilobit per second).

Off-the-shelf Light Emitting Diodes (LEDs) and low-cost microcontrollers provide the foundation for networking using the visible light as communication medium. These networks require fast and stable synchronization and a distributed protocol to handle shared medium access. We present and evaluate a physical layer and a distributed, contention-based medium access control protocol that enables reliable communication over room range distances; both are implemented in software using low-cost commercial off-the-shelf building blocks.

We present a new approach to clothing simulation using low-dimensional linear subspaces with temporally adaptive bases. Our method exploits full-space simulation training data in order to construct a pool of low-dimensional bases distributed across pose space. For this purpose, we interpret the simulation data as offsets from a kinematic deformation model that captures the global shape of clothing due to body pose.

We present an efficient method for augmenting keyframed character animations with physically-simulated secondary motion. Our method achieves a performance improvement of one to two orders of magnitude over previous work without compromising on quality.

We address the problem of stereoscopic content generation from light fields using multi-perspective imaging. Our proposed method takes as input a light field and a target disparity map, and synthesizes a stereoscopic image pair by selecting light rays that fulfill the given target disparity constraints. We formulate this as a variational convex optimization problem.

This paper addresses stereoscopic view generation from a light field. We present a framework that allows for the generation of stereoscopic image pairs with per-pixel control over disparity, based on multi-perspective imaging from light fields. The proposed framework is novel and useful for stereoscopic image processing and post-production.

Our work on “motion brushes” provides a new workflow for the creation and reuse of 3D animation with a focus on stylized movement and depiction. Conceptually, motion brushes expand existing brush models by incorporating hierarchies of 3D animated content including geometry, appearance information, and motion data as core brush primitives that are instantiated using a painting interface.