Multi-Frame Rate Rendering

Multi-frame rate rendering is a parallel rendering technique that renders interactive parts of a scene on one graphics card while the rest of the scene is rendered asynchronously on a second graphics card. The resulting color and depth images of both render processes are composited, by optical superposition or digital composition, and displayed. The results of a user study confirm that multi-frame rate rendering can significantly improve the interaction performance. Multi-frame rate rendering is naturally implemented on a graphics cluster. With the recent availability of multiple graphics cards in standalone systems the method can also be implemented on a single computer system where memory bandwidth is much higher compared to off-the-shelf networking technology. This decreases overall latency and further improves interactivity. Multi-frame rate rendering was also investigated on a single graphics processor by interleaving the rendering streams for the interactive elements and the rest of the scene. This approach enables the use of multi-frame rate rendering on low-end graphics systems such as laptops, mobile phones, and PDAs. Advanced multi-frame rate rendering techniques reduce the limitations of the basic approach. The interactive manipulation of light sources and their parameters affects the entire scene. A multi-GPU deferred shading method is presented that splits the rendering task into a rasterization and lighting pass and assigns the passes to the appropriate image generators such that light manipulations at high frame rates become possible. A parallel volume rendering technique allows the manipulation of objects inside a translucent volume at high frame rates. This approach is useful for example in medical applications, where small probes need to be positioned inside a computed-tomography image. Due to the asynchronous nature of multi-frame rate rendering artifacts may occur during migration of objects from the slow to the fast graphics card, and vice versa. Proper state management allows to almost completely avoid these artifacts. Multi-frame rate rendering significantly improves the interactive manipulation of objects and lighting effects. This leads to a considerable increase of the size for 3D scenes that can be manipulated compared to conventional methods.Multi-Frame Rate Rendering ist eine parallele Rendertechnik, die interaktive Teile einer Szene auf einer separaten Graphikkarte berechnet. Die Abbildung des Rests der Szene erfolgt asynchron auf einer anderen Graphikkarte. Die resultierenden Farb- und Tiefenbilder beider Darstellungsprozesse werden mittels optischer Überlagerung oder digitaler Komposition kombiniert und angezeigt. Die Ergebnisse einer Nutzerstudie zeigen, daß Multi-Frame Rate Rendering die Interaktion für große Szenen deutlich beschleunigt. Multi-Frame Rate Rendering ist üblicherweise auf einem Graphikcluster zu implementieren. Mit der Verfügbarkeit mehrerer Graphikkarten für Einzelsysteme kann Multi-Frame Rate Rendering auch für diese realisiert werden. Dies ist von Vorteil, da die Speicherbandbreite um ein Vielfaches höher ist als mit üblichen Netzwerktechnologien. Dadurch verringern sich Latenzen, was zu verbesserter Interaktivität führt. Multi-Frame Rate Rendering wurde auch auf Systemen mit einer Graphikkarte untersucht. Die Bildberechnung für den Rest der Szene muss dazu in kleine Portionen aufgeteilt werden. Die Darstellung erfolgt dann alternierend zu den interaktiven Elementen über mehrere Bilder verteilt. Dieser Ansatz erlaubt die Benutzung von Multi-Frame Rate Rendering auf einfachen Graphiksystemen wie Laptops, Mobiltelefonen and PDAs. Fortgeschrittene Multi-Frame Rate Rendering Techniken erweitern die Anwendbarkeit des Ansatzes erheblich. Die interaktive Manipulation von Lichtquellen beeinflußt die ganze Szene. Um diese Art der Interaktion zu unterstützen, wurde eine Multi-GPU Deferred Shading Methode entwickelt. Der Darstellungsvorgang wird dazu in einen Rasterisierungs- und Beleuchtungsschritt zerlegt, die parallel auf den entsprechenden Grafikkarten erfolgen können. Dadurch kann die Beleuchtung mit hohen Bildwiederholraten unabhängig von der geometrischen Komplexität der Szene erfolgen. Außerdem wurde eine parallele Darstellungstechnik für die interaktive Manipulation von Objekten in hochaufgelösten Volumendaten entwickelt. Dadurch lassen sich zum Beispiel virtuelle Instrumente in hochqualitativ dargestellten Computertomographieaufnahmen interaktiv positionieren. Aufgrund der inhärenten Asynchronität der beiden Darstellungsprozesse des Multi-Frame Rate Rendering Ansatzes können Artifakte während der Objektmigration zwischen den Graphikkarten auftreten. Eine intelligente Zustandsverwaltung in Kombination mit Prediktionstechniken kann diese Artifakte fast gänzlich verhindern, so dass Benutzer diese im allgemeinen nicht bemerken. Multi-Frame Rate Rendering beschleunigt die interaktive Manipulation von Objekten und Beleuchtungseffekten deutlich. Dadurch können deutlich umfangreichere virtuelle Szenarien bearbeitet werden als mit konventionellen Methoden

Smoothness perception : investigation of beat rate effect on frame rate perception

Despite the complexity of the Human Visual System (HVS), research over the last few decades has highlighted a number of its limitations. These limitations can be exploited in computer graphics to significantly reduce computational cost and thus required rendering time, without a viewer perceiving any difference in resultant image quality. Furthermore, cross-modal interaction between different modalities, such as the influence of audio on visual perception, has also been shown as significant both in psychology and computer graphics. In this paper we investigate the effect of beat rate on temporal visual perception, i.e. frame rate perception. For the visual quality and perception evaluation, a series of psychophysical experiments was conducted and the data analysed. The results indicate that beat rates in some cases do affect temporal visual perception and that certain beat rates can be used in order to reduce the amount of rendering required to achieve a perceptual high quality. This is another step towards a comprehensive understanding of auditory-visual cross-modal interaction and could be potentially used in high-fidelity interactive multi-sensory virtual environments

Learning to Deblur and Rotate Motion-Blurred Faces

We propose a solution to the novel task of rendering sharp videos from new viewpoints from a single motion-blurred image of a face. Our method1 handles the complexity of face blur by implicitly learning the geometry and motion of faces through the joint training on three large datasets: FFHQ and 300VW, which are publicly available, and a new Bern Multi-View Face Dataset (BMFD) that we built. The first two datasets provide a large variety of faces and allow our model to generalize better. BMFD instead allows us to introduce multi-view constraints, which are crucial to synthesizing sharp videos from a new camera view. It consists of high frame rate synchronized videos from multiple views of several subjects displaying a wide range of facial expressions. We use the high frame rate videos to simulate realistic motion blur through averaging. Thanks to this dataset, we train a neural network to reconstruct a 3D video representation from a single image and the corresponding face gaze. We then provide a camera viewpoint relative to the estimated gaze and the blurry image as input to an encoder-decoder network to generate a video of sharp frames with a novel camera viewpoint. We demonstrate our approach on test subjects of our multi-view dataset and VIDTIMIT

Distributed OpenGL Rendering in Network Bandwidth Constrained Environments

Display walls made from multiple monitors are often used when very high resolution images are required. To utilise a display wall, rendering information must be sent to each computer that the monitors are connect to. The network is often the performance bottleneck for demanding applications, like high performance 3D animations. This paper introduces ClusterGL; a distribution library for OpenGL applications. ClusterGL reduces network traffic by using compression, frame differencing and multi-cast. Existing applications can use ClusterGL without recompilation. Benchmarks show that, for most applications, ClusterGL outperforms other systems that support unmodified OpenGL applications including Chromium and BroadcastGL. The difference is larger for more complex scene geometries and when there are more display machines. For example, when rendering OpenArena, ClusterGL outperforms Chromium by over 300% on the Symphony display wall at The University of Waikato, New Zealand. This display has 20 monitors supported by five computers connected by gigabit Ethernet, with a full resolution of over 35 megapixels. ClusterGL is freely available via Google Code

High-speed Video from Asynchronous Camera Array

This paper presents a method for capturing high-speed video using an asynchronous camera array. Our method sequentially fires each sensor in a camera array with a small time offset and assembles captured frames into a high-speed video according to the time stamps. The resulting video, however, suffers from parallax jittering caused by the viewpoint difference among sensors in the camera array. To address this problem, we develop a dedicated novel view synthesis algorithm that transforms the video frames as if they were captured by a single reference sensor. Specifically, for any frame from a non-reference sensor, we find the two temporally neighboring frames captured by the reference sensor. Using these three frames, we render a new frame with the same time stamp as the non-reference frame but from the viewpoint of the reference sensor. Specifically, we segment these frames into super-pixels and then apply local content-preserving warping to warp them to form the new frame. We employ a multi-label Markov Random Field method to blend these warped frames. Our experiments show that our method can produce high-quality and high-speed video of a wide variety of scenes with large parallax, scene dynamics, and camera motion and outperforms several baseline and state-of-the-art approaches.Comment: 10 pages, 82 figures, Published at IEEE WACV 201

TetSplat: Real-time Rendering and Volume Clipping of Large Unstructured Tetrahedral Meshes

We present a novel approach to interactive visualization and exploration of large unstructured tetrahedral meshes. These massive 3D meshes are used in mission-critical CFD and structural mechanics simulations, and typically sample multiple field values on several millions of unstructured grid points. Our method relies on the pre-processing of the tetrahedral mesh to partition it into non-convex boundaries and internal fragments that are subsequently encoded into compressed multi-resolution data representations. These compact hierarchical data structures are then adaptively rendered and probed in real-time on a commodity PC. Our point-based rendering algorithm, which is inspired by QSplat, employs a simple but highly efficient splatting technique that guarantees interactive frame-rates regardless of the size of the input mesh and the available rendering hardware. It furthermore allows for real-time probing of the volumetric data-set through constructive solid geometry operations as well as interactive editing of color transfer functions for an arbitrary number of field values. Thus, the presented visualization technique allows end-users for the first time to interactively render and explore very large unstructured tetrahedral meshes on relatively inexpensive hardware

Interactive inspection of complex multi-object industrial assemblies

The final publication is available at Springer via http://dx.doi.org/10.1016/j.cad.2016.06.005The use of virtual prototypes and digital models containing thousands of individual objects is commonplace in complex industrial applications like the cooperative design of huge ships. Designers are interested in selecting and editing specific sets of objects during the interactive inspection sessions. This is however not supported by standard visualization systems for huge models. In this paper we discuss in detail the concept of rendering front in multiresolution trees, their properties and the algorithms that construct the hierarchy and efficiently render it, applied to very complex CAD models, so that the model structure and the identities of objects are preserved. We also propose an algorithm for the interactive inspection of huge models which uses a rendering budget and supports selection of individual objects and sets of objects, displacement of the selected objects and real-time collision detection during these displacements. Our solution–based on the analysis of several existing view-dependent visualization schemes–uses a Hybrid Multiresolution Tree that mixes layers of exact geometry, simplified models and impostors, together with a time-critical, view-dependent algorithm and a Constrained Front. The algorithm has been successfully tested in real industrial environments; the models involved are presented and discussed in the paper.Peer ReviewedPostprint (author's final draft

Scalable Interactive Volume Rendering Using Off-the-shelf Components

This paper describes an application of a second generation implementation of the Sepia architecture (Sepia-2) to interactive volu-metric visualization of large rectilinear scalar fields. By employingpipelined associative blending operators in a sort-last configuration a demonstration system with 8 rendering computers sustains 24 to 28 frames per second while interactively rendering large data volumes (1024x256x256 voxels, and 512x512x512 voxels). We believe interactive performance at these frame rates and data sizes is unprecedented. We also believe these results can be extended to other types of structured and unstructured grids and a variety of GL rendering techniques including surface rendering and shadow map-ping. We show how to extend our single-stage crossbar demonstration system to multi-stage networks in order to support much larger data sizes and higher image resolutions. This requires solving a dynamic mapping problem for a class of blending operators that includes Porter-Duff compositing operators

Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications

Social Virtual Reality based Learning Environments (VRLEs) such as vSocial render instructional content in a three-dimensional immersive computer experience for training youth with learning impediments. There are limited prior works that explored attack vulnerability in VR technology, and hence there is a need for systematic frameworks to quantify risks corresponding to security, privacy, and safety (SPS) threats. The SPS threats can adversely impact the educational user experience and hinder delivery of VRLE content. In this paper, we propose a novel risk assessment framework that utilizes attack trees to calculate a risk score for varied VRLE threats with rate and duration of threats as inputs. We compare the impact of a well-constructed attack tree with an adhoc attack tree to study the trade-offs between overheads in managing attack trees, and the cost of risk mitigation when vulnerabilities are identified. We use a vSocial VRLE testbed in a case study to showcase the effectiveness of our framework and demonstrate how a suitable attack tree formalism can result in a more safer, privacy-preserving and secure VRLE system.Comment: Tp appear in the CCNC 2019 Conferenc

Transport-Based Neural Style Transfer for Smoke Simulations

Artistically controlling fluids has always been a challenging task. Optimization techniques rely on approximating simulation states towards target velocity or density field configurations, which are often handcrafted by artists to indirectly control smoke dynamics. Patch synthesis techniques transfer image textures or simulation features to a target flow field. However, these are either limited to adding structural patterns or augmenting coarse flows with turbulent structures, and hence cannot capture the full spectrum of different styles and semantically complex structures. In this paper, we propose the first Transport-based Neural Style Transfer (TNST) algorithm for volumetric smoke data. Our method is able to transfer features from natural images to smoke simulations, enabling general content-aware manipulations ranging from simple patterns to intricate motifs. The proposed algorithm is physically inspired, since it computes the density transport from a source input smoke to a desired target configuration. Our transport-based approach allows direct control over the divergence of the stylization velocity field by optimizing incompressible and irrotational potentials that transport smoke towards stylization. Temporal consistency is ensured by transporting and aligning subsequent stylized velocities, and 3D reconstructions are computed by seamlessly merging stylizations from different camera viewpoints.Comment: ACM Transaction on Graphics (SIGGRAPH ASIA 2019), additional materials: http://www.byungsoo.me/project/neural-flow-styl