Now showing items 1-20 of 57

    • ShadowPatch: Shadow Based Segmentation for Reliable Depth Discontinuities in Photometric Stereo 

      Heep, Moritz; Zell, Eduard (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Photometric stereo is a well-established method with outstanding traits to recover surface details and material properties, like surface albedo or even specularity. However, while the surface is locally well-defined, ...
    • BareSkinNet: De-makeup and De-lighting via 3D Face Reconstruction 

      Yang, Xingchao; Taketomi, Takafumi (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 ...
    • Learning Dynamic 3D Geometry and Texture for Video Face Swapping 

      Otto, Christopher; Naruniec, Jacek; Helminger, Leonhard; Etterlin, Thomas; Mignone, Graziana; Chandran, Prashanth; Zoss, Gaspard; Schroers, Christopher; Gross, Markus; Gotardo, Paulo; Bradley, Derek; Weber, Romann (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Face swapping is the process of applying a source actor's appearance to a target actor's performance in a video. This is a challenging visual effect that has seen increasing demand in film and television production. Recent ...
    • Implicit Neural Deformation for Sparse-View Face Reconstruction 

      Li, Moran; Huang, Haibin; Zheng, Yi; Li, Mengtian; Sang, Nong; Ma, Chongyang (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 ...
    • Learning 3D Shape Aesthetics Globally and Locally 

      Chen, Minchan; Lau, Manfred (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      There exist previous works in computing the visual aesthetics of 3D shapes ''globally'', where the term global means that shape aesthetics data are collected for whole 3D shapes and then used to compute the aesthetics of ...
    • Eye-Tracking-Based Prediction of User Experience in VR Locomotion Using Machine Learning 

      Gao, Hong; Kasneci, Enkelejda (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 ...
    • Efficient and Stable Simulation of Inextensible Cosserat Rods by a Compact Representation 

      Zhao, Chongyao; Lin, Jinkeng; Wang, Tianyu; Bao, Hujun; Huang, Jin (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 ...
    • NSTO: Neural Synthesizing Topology Optimization for Modulated Structure Generation 

      Zhong, Shengze; Punpongsanon, Parinya; Iwai, Daisuke; Sato, Kosuke (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Nature evolves structures like honeycombs at optimized performance with limited material. These efficient structures can be artificially created with the collaboration of structural topology optimization and additive ...
    • Spatio-temporal Keyframe Control of Traffic Simulation using Coarse-to-Fine Optimization 

      Han, Yi; Wang, He; Jin, Xiaogang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We present a novel traffic trajectory editing method which uses spatio-temporal keyframes to control vehicles during the simulation to generate desired traffic trajectories. By taking self-motivation, path following and ...
    • Large-Scale Worst-Case Topology Optimization 

      Zhang, Di; Zhai, Xiaoya; Fu, Xiao-Ming; Wang, Heming; Liu, Ligang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      We propose a novel topology optimization method to efficiently minimize the maximum compliance for a high-resolution model bearing uncertain external loads. Central to this approach is a modified power method that can ...
    • MoMaS: Mold Manifold Simulation for Real-time Procedural Texturing 

      Maggioli, Filippo; Marin, Riccardo; Melzi, Simone; Rodolà, Emanuele (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      The slime mold algorithm has recently been under the spotlight thanks to its compelling properties studied across many disciplines like biology, computation theory, and artificial intelligence. However, existing implementations ...
    • Pixel Art Adaptation for Handicraft Fabrication 

      Igarashi, Yuki; Igarashi, Takeo (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Knitting and weaving patterns can be visually represented as pixel art. With hand knitting and weaving, human error (shifting, duplicating, or skipping pixels) can occur during manual fabrication. It is too costly to change ...
    • Efficient Texture Parameterization Driven by Perceptual-Loss-on-Screen 

      Sun, Haoran; Wang, Shiyi; Wu, Wenhai; Jin, Yao; Bao, Hujun; Huang, Jin (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. ...
    • Shape-Guided Mixed Metro Map Layout 

      Batik, Tobias; Terziadis, Soeren; Wang, Yu-Shuen; Nöllenburg, Martin; Wu, Hsiang-Yun (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Metro or transit maps, are schematic representations of transit networks to facilitate effective route-finding. These maps are often advertised on a web page or pamphlet highlighting routes from source to destination ...
    • Color-mapped Noise Vector Fields for Generating Procedural Micro-patterns 

      Grenier, Charline; Sauvage, Basile; Dischler, Jean-Michel; Thery, Sylvain (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 ...
    • Depth-Aware Shadow Removal 

      Fu, Yanping; Gai, Zhenyu; Zhao, Haifeng; Zhang, Shaojie; Shan, Ying; Wu, Yang; Tang, Jin (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 ...
    • TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning 

      Wang, Yongzhen; Yan, Xuefeng; Zhang, Kaiwen; Gong, Lina; Xie, Haoran; Wang, Fu Lee; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Adverse weather conditions such as haze, rain, and snow often impair the quality of captured images, causing detection networks trained on normal images to generalize poorly in these scenarios. In this paper, we raise an ...
    • Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects 

      Wang, Ziyu; Deng, Yu; Yang, Jiaolong; Yu, Jingyi; Tong, Xin (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 ...
    • Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal 

      Shen, Yiyang; Wang, Yongzhen; Wei, Mingqiang; Chen, Honghua; Xie, Haoran; Cheng, Gary; Wang, Fu Lee (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Real-world rain is a mixture of rain streaks and rainy haze. However, current efforts formulate image rain streaks removal and rainy haze removal as separated models, worsening the loss of image details. This paper attempts ...
    • Abstract Painting Synthesis via Decremental optimization 

      Yan, Ming; Pu, Yuanyuan; Zhao, Pengzheng; Xu, Dan; Wu, Hao; Yang, Qiuxia; Wang, Ruxin (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 ...