Facial Performance Enhancement Using Dynamic Shape Space Analysis
We present a technique for adding fine-scale details and expressiveness to low-resolution art-directed facial performances, such as those created manually using a rig, via marker-based capture, by fitting a morphable model to a video, or through Kinect reconstruction using recent faceshift technology.
Augmenting Physical Avatars Using Projector-Based Illumination
We propose a complete process for augmenting physical avatars using projector-based illumination, significantly increasing their expressiveness.
Theory, Analysis and Applications of 2D Global Illumination
We propose second-order Taylor expansion from cache points, which results in more accurate irradiance reconstruction.
State of the Art in Artistic Editing of Appearance, Lighting, and Material
We organize this complex and active research area in a structure tailored to academic researchers, graduate students, and industry professionals alike.
Optimizing Stereo-to-Multiview Conversion for Autostereoscopic Displays
We present a novel stereo-to-multiview video conversion method for glasses-free multiview displays.
Towards Automatic Discovery of Agile Gaits for Quadrupedal Robots
Developing control methods that allow legged robots to move with skill and agility remains one of the grand challenges in robotics.
Automatic View Synthesis by Image-Domain-Warping
In this paper, a view synthesis method based on Image-domain-Warping (IDW) is presented which synthesizes new views directly from S3D video and functions completely automatically.
Distinguishing Texture Edges from Object Boundaries in Video
We address this issue by introducing a simple, low-level, patch-consistency assumption that leverages the extra information present in video data to resolve this ambiguity.
High-Quality Capture of Eyes
Even though the human eye is one of the central features of individual appearance, its shape has so far been mostly approximated in our community with gross simplifications. In this paper we demonstrate that there is a lot of individuality to every eye, a fact that common practices for 3D eye generation do not consider.
Temporally Coherent Local Tone Mapping of HDR Video
Recent subjective studies showed that current tone mapping operators either produce disturbing temporal artifacts, or are limited in their local contrast reproduction capability. We address both of these issues and present an HDR video tone mapping operator that can greatly reduce the input dynamic range, while at the same time preserving scene details without causing significant visual artifacts.
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