Browsing 41-Issue 7 by Title
Now showing items 1-20 of 57
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Abstract Painting Synthesis via Decremental optimization
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Existing stroke-based painting synthesis methods usually fail to achieve good results with limited strokes because these methods use semantically irrelevant metrics to calculate the similarity between the painting and photo ... -
BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction
(The Eurographics Association and John Wiley & Sons Ltd., 2022)We propose BareSkinNet, a novel method that simultaneously removes makeup and lighting influences from the face image. Our method leverages a 3D morphable model and does not require a reference clean face image or a specified ... -
Classifier Guided Temporal Supersampling for Real-time Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2022)We present a learning based temporal supersampling algorithm for real-time rendering. Different from existing learning-based approaches that adopt an end-to-end training of a 'black-box' neural network, we design a 'white-box' ... -
Color-mapped Noise Vector Fields for Generating Procedural Micro-patterns
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Stochastic micro-patterns successfully enhance the realism of virtual scenes. Procedural models using noise combined with transfer functions are extremely efficient. However, most patterns produced today employ 1D transfer ... -
Contrastive Semantic-Guided Image Smoothing Network
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Image smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in image smoothing to deal with the complex ... -
Depth-Aware Shadow Removal
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Shadow removal from a single image is an ill-posed problem because shadow generation is affected by the complex interactions of geometry, albedo, and illumination. Most recent deep learning-based methods try to directly ... -
DiffusionPointLabel: Annotated Point Cloud Generation with Diffusion Model
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Point cloud generation aims to synthesize point clouds that do not exist in supervised dataset. Generating a point cloud with certain semantic labels remains an under-explored problem. This paper proposes a formulation ... -
A Drone Video Clip Dataset and its Applications in Automated Cinematography
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Drones became popular video capturing tools. Drone videos in the wild are first captured and then edited by humans to contain aesthetically pleasing camera motions and scenes. Therefore, edited drone videos have extremely ... -
Effective Eyebrow Matting with Domain Adaptation
(The Eurographics Association and John Wiley & Sons Ltd., 2022)We present the first synthetic eyebrow matting datasets and a domain adaptation eyebrow matting network for learning domain-robust feature representation using synthetic eyebrow matting data and unlabeled in-the-wild images ... -
Efficient and Stable Simulation of Inextensible Cosserat Rods by a Compact Representation
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Piecewise linear inextensible Cosserat rods are usually represented by Cartesian coordinates of vertices and quaternions on the segments. Such representations use excessive degrees of freedom (DOFs), and need many additional ... -
Efficient Direct Isosurface Rasterization of Scalar Volumes
(The Eurographics Association and John Wiley & Sons Ltd., 2022)In this paper we propose a novel and efficient rasterization-based approach for direct rendering of isosurfaces. Our method exploits the capabilities of task and mesh shader pipelines to identify subvolumes containing ... -
Efficient Texture Parameterization Driven by Perceptual-Loss-on-Screen
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Texture mapping is a ubiquitous technique to enrich the visual effect of a mesh, which represents the desired signal (e.g. diffuse color) on the mesh to a texture image discretized by pixels through a bijective parameterization. ... -
EL-GAN: Edge-Enhanced Generative Adversarial Network for Layout-to-Image Generation
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Although some progress has been made in the layout-to-image generation of complex scenes with multiple objects, object-level generation still suffers from distortion and poor recognizability. We argue that this is caused ... -
Exploring Contextual Relationships in 3D Cloud Points by Semantic Knowledge Mining
(The Eurographics Association and John Wiley & Sons Ltd., 2022)3D scene graph generation (SGG) aims to predict the class of objects and predicates simultaneously in one 3D point cloud scene with instance segmentation. Since the underlying semantic of 3D point clouds is spatial ... -
Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning
(The Eurographics Association and John Wiley & Sons Ltd., 2022)VR locomotion is one of the most important design features of VR applications and is widely studied. When evaluating locomotion techniques, user experience is usually the first consideration, as it provides direct insights ... -
Fine-Grained Memory Profiling of GPGPU Kernels
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Memory performance is a crucial bottleneck in many GPGPU applications, making optimizations for hardware and software mandatory. While hardware vendors already use highly efficient caching architectures, software engineers ... -
Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Scene graph generation refers to the task of identifying the objects and specifically the relationships between the objects from an image. Existing scene graph generation methods generally use the bounding boxes region ... -
Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects
(The Eurographics Association and John Wiley & Sons Ltd., 2022)3D-aware generative models have demonstrated their superb performance to generate 3D neural radiance fields (NeRF) from a collection of monocular 2D images even for topology-varying object categories. However, these methods ... -
Implicit Neural Deformation for Sparse-View Face Reconstruction
(The Eurographics Association and John Wiley & Sons Ltd., 2022)In this work, we present a new method for 3D face reconstruction from sparse-view RGB images. Unlike previous methods which are built upon 3D morphable models (3DMMs) with limited details, we leverage an implicit representation ... -
Joint Hand and Object Pose Estimation from a Single RGB Image using High-level 2D Constraints
(The Eurographics Association and John Wiley & Sons Ltd., 2022)Joint pose estimation of human hands and objects from a single RGB image is an important topic for AR/VR, robot manipulation, etc. It is common practice to determine both poses directly from the image; some recent methods ...