Modeling with Simplicial Diffeomorphisms

Our work is based on appearance propagation for HDR image and material editing in [AP08] [PL07], which we con- sider to be an excellent choice in modeling users’ inputs. We propose

nant woman models in standing position created using FEMONUM, a new modeling framework based on varia- tional segmentation of medical images, 3D surface sampling and reconstruction

Based upon these, we propose a generalized evaluation framework, from which we design rigorous security and privacy assessment for different template protection systems. The

We propose a novel texture-aware seamless cloning framework based on separately processing the details and base image colors.. The proposed framework provides realistic cloning

brain cells (mostly neurons), obtained by segmenting serial elec- tron micrographs at nanoscale resolution, and we propose a shape analysis framework based on an implicit

In this poster we describe the main com- ponents of our system – the deep convolutional networks used for sketch interpretation, the training data, the user interface, and the

Figure 1: We introduce a new technique for multi-scale appearance modeling of granular materials with complex and spatially varying grain distributions and optical properties..

In this paper we present a framework for modeling cable-driven soft robots fabricated from silicone rubber - an incompressible material.. Our forward simulation model can use either