Now showing items 41-60 of 267

    • 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 ...
    • EL-GAN: Edge-Enhanced Generative Adversarial Network for Layout-to-Image Generation 

      Gao, Lin; Wu, Lei; Meng, Xiangxu (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 ...
    • User-Controllable Latent Transformer for StyleGAN Image Layout Editing 

      Endo, Yuki (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Latent space exploration is a technique that discovers interpretable latent directions and manipulates latent codes to edit various attributes in images generated by generative adversarial networks (GANs). However, in ...
    • Joint Hand and Object Pose Estimation from a Single RGB Image using High-level 2D Constraints 

      Song, Hao-Xuan; Mu, Tai-Jiang; Martin, Ralph R. (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 ...
    • Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center 

      Zhao, Yong Qiang; Jin, Zhi; Zhao, Hai Yan; Zhang, Feng; Tao, Zheng Wei; Dou, Cheng Feng; Xu, Xin Hai; Liu, Dong Hong (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 ...
    • SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation 

      Pan, Haoran; Zhou, Jun; Liu, Yuanpeng; Lu, Xuequan; Wang, Weiming; Yan, Xuefeng; Wei, Mingqiang (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      6D pose estimation of rigid objects from RGB-D images is crucial for object grasping and manipulation in robotics. Although RGB channels and the depth (D) channel are often complementary, providing respectively the appearance ...
    • Effective Eyebrow Matting with Domain Adaptation 

      Wang, Luyuan; Zhang, Hanyuan; Xiao, Qinjie; Xu, Hao; Shen, Chunhua; Jin, Xiaogang (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 ...
    • Contrastive Semantic-Guided Image Smoothing Network 

      Wang, Jie; Wang, Yongzhen; Feng, Yidan; Gong, Lina; Yan, Xuefeng; Xie, Haoran; Wang, Fu Lee; Wei, Mingqiang (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 ...
    • Learning Multi-Scale Deep Image Prior for High-Quality Unsupervised Image Denoising 

      Jiang, Hao; Zhang, Qing; Nie, Yongwei; Zhu, Lei; Zheng, Wei-Shi (The Eurographics Association and John Wiley & Sons Ltd., 2022)
      Recent methods on image denoising have achieved remarkable progress, benefiting mostly from supervised learning on massive noisy/clean image pairs and unsupervised learning on external noisy images. However, due to the ...