Search Results - "Seidel, H.‐P."

Deep Shading: Convolutional Neural Networks for Screen Space Shading by Nalbach, O., Arabadzhiyska, E., Mehta, D., Seidel, H.‐P., Ritschel, T.

“…In computer vision, convolutional neural networks (CNNs) achieve unprecedented performance for inverse problems where RGB pixel appearance is mapped to…”
Get full text

A Statistical Model of Human Pose and Body Shape by Hasler, N., Stoll, C., Sunkel, M., Rosenhahn, B., Seidel, H.-P.

“…Generation and animation of realistic humans is an essential part of many projects in today's media industry. Especially, the games and special effects…”
Get full text

Efficient Multi-image Correspondences for On-line Light Field Video Processing by Dąbała, Ł., Ziegler, M., Didyk, P., Zilly, F., Keinert, J., Myszkowski, K., Seidel, H.-P., Rokita, P., Ritschel, T.

“…Light field videos express the entire visual information of an animated scene, but their shear size typically makes capture, processing and display an off‐line…”
Get full text

Intrinsic Shape Matching by Planned Landmark Sampling by Tevs, A., Berner, A., Wand, M., Ihrke, I., Seidel, H.-P.

“…Recently, the problem of intrinsic shape matching has received a lot of attention. A number of algorithms have been proposed, among which random‐sampling‐based…”
Get full text

Symmetry Detection Using Feature Lines by Bokeloh, M., Berner, A., Wand, M., Seidel, H.-P., Schilling, A.

“…In this paper, we describe a new algorithm for detecting structural redundancy in geometric data sets. Our algorithm computes rigid symmetries, i.e., subsets…”
Get full text

Subdivision‐Specialized Linear Algebra Kernels for Static and Dynamic Mesh Connectivity on the GPU by Mlakar, D., Winter, M., Stadlbauer, P., Seidel, H.‐P., Steinberger, M., Zayer, R.

“…Subdivision surfaces have become an invaluable asset in production environments. While progress over the last years has allowed the use of graphics hardware to…”
Get full text

Interactive Modeling of Cellular Structures on Surfaces with Application to Additive Manufacturing by Stadlbauer, P., Mlakar, D., Seidel, H.‐P., Steinberger, M., Zayer, R.

“…The rich and evocative patterns of natural tessellations endow them with an unmistakable artistic appeal and structural properties which are echoed across…”
Get full text

Practical Capture and Reproduction of Phosphorescent Appearance by Nalbach, O., Seidel, H.‐P., Ritschel, T.

“…This paper proposes a pipeline to accurately acquire, efficiently reproduce and intuitively manipulate phosphorescent appearance. In contrast to common…”
Get full text

Estimating Crossing Fibers: A Tensor Decomposition Approach by Schultz, T., Seidel, H.-P.

“…Diffusion weighted magnetic resonance imaging is a unique tool for non-invasive investigation of major nerve fiber tracts. Since the popular diffusion tensor…”
Get full text

Stream Line–Based Pattern Search in Flows by Wang, Z., Esturo, J. Martinez, Seidel, H.‐P., Weinkauf, T.

“…We propose a method that allows users to define flow features in form of patterns represented as sparse sets of stream line segments. Our approach finds…”
Get full text

Computer Assisted Relief Generation-A Survey by Kerber, J., Wang, M., Chang, J., Zhang, J. J., Belyaev, A., Seidel, H.-P.

“…In this paper, we present an overview of the achievements accomplished to date in the field of computer‐aided relief generation. We delineate the problem,…”
Get full text

Enhancing image quality prediction with self‐supervised visual masking by Çoğalan, U., Bemana, M., Seidel, HP, Myszkowski, K.

“…Full‐reference image quality metrics (FR‐IQMs) aim to measure the visual differences between a pair of reference and distorted images, with the goal of…”
Get full text

Learning to Predict Image‐based Rendering Artifacts with Respect to a Hidden Reference Image by Bemana, M., Keinert, J., Myszkowski, K., Bätz, M., Ziegler, M., Seidel, H.‐P., Ritschel, T.

“…Image metrics predict the perceived per‐pixel difference between a reference image and its degraded (e. g., re‐rendered) version. In several important…”
Get full text

Video frame interpolation for high dynamic range sequences captured with dual‐exposure sensors by Çoğalan, U., Bemana, M., Seidel, HP, Myszkowski, K.

“…Video frame interpolation (VFI) enables many important applications such as slow motion playback and frame rate conversion. However, one major challenge in…”
Get full text

Learning a self‐supervised tone mapping operator via feature contrast masking loss by Wang, C., Chen, B., Seidel, HP, Myszkowski, K., Serrano, A.

“…High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies. Nevertheless, the dynamic range of common display…”
Get full text

Sets of Globally Optimal Stream Surfaces for Flow Visualization by Schulze, M., Esturo, J. Martinez, Günther, T., Rössl, C., Seidel, H.-P., Weinkauf, T., Theisel, H.

“…Stream surfaces are a well‐studied and widely used tool for the visualization of 3D flow fields. Usually, stream surface seeding is carried out manually in…”
Get full text

Extraction of Dominant Extremal Structures in Volumetric Data Using Separatrix Persistence by Günther, D., Seidel, H.-P., Weinkauf, T.

“…Extremal lines and surfaces are features of a 3D scalar field where the scalar function becomes minimal or maximal with respect to a local neighborhood . These…”
Get full text

Scalable Symmetry Detection for Urban Scenes by Kerber, J., Bokeloh, M., Wand, M., Seidel, H.-P.

“…In this paper, we present a novel method for detecting partial symmetries in very large point clouds of 3D city scans. Unlike previous work, which has only…”
Get full text

Temporal Glare: Real-Time Dynamic Simulation of the Scattering in the Human Eye by Ritschel, T., Ihrke, M., Frisvad, J. R., Coppens, J., Myszkowski, K., Seidel, H.-P.

“…Glare is a consequence of light scattered within the human eye when looking at bright light sources. This effect can be exploited for tone mapping since adding…”
Get full text

Symmetry-Aware Template Deformation and Fitting by Kurz, C., Wu, X., Wand, M., Thormählen, T., Kohli, P., Seidel, H.-P.

“…In this paper, we propose a new method for reconstructing 3D models from a noisy and incomplete 3D scan and a coarse template model. The main idea is to…”
Get full text