This image shows the "Paradigm" scene from the "Photorealistic Material Editing Through Direct Image Manipulation" paper. Winning entry by Károly Zsolnai-Fehér, Peter Wonka, and Michael Wimmer.

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  • Visual Analytics in Dental Aesthetics 

    Amirkhanov, Aleksandr; Bernhard, Matthias; Karimov, Alexey; Stiller, Sabine; Geier, Andreas; Gröller, Eduard; Mistelbauer, Gabriel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Dental healthcare increasingly employs computer-aided design software, to provide patients with high-quality dental prosthetic devices. In modern dental reconstruction, dental technicians address the unique anatomy of each ...
  • Slice and Dice: A Physicalization Workflow for Anatomical Edutainment 

    Raidou, Renata Georgia; Gröller, Eduard; Wu, Hsiang-Yun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    During the last decades, anatomy has become an interesting topic in education-even for laymen or schoolchildren. As medical imaging techniques become increasingly sophisticated, virtual anatomical education applications ...
  • RadEx: Integrated Visual Exploration of Multiparametric Studies for Radiomic Tumor Profiling 

    Mörth, Eric; Wagner-Larsen, Kari; Hodneland, Erlend; Krakstad, Camilla; Haldorsen, Ingfrid S.; Bruckner, Stefan; Smit, Noeska N. (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Better understanding of the complex processes driving tumor growth and metastases is critical for developing targeted treatment strategies in cancer. Radiomics extracts large amounts of features from medical images which ...
  • Colorization of Line Drawings with Empty Pupils 

    Akita, Kenta; Morimoto, Yuki; Tsuruno, Reiji (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Many studies have recently applied deep learning to the automatic colorization of line drawings. However, it is difficult to paint empty pupils using existing methods because the convolutional neural network are trained ...
  • Two-stage Photograph Cartoonization via Line Tracing 

    Li, Simin; Wen, Qiang; Zhao, Shuang; Sun, Zixun; He, Shengfeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Cartoon is highly abstracted with clear edges, which makes it unique from the other art forms. In this paper, we focus on the essential cartoon factors of abstraction and edges, aiming to cartoonize real-world photographs ...
  • StyleProp: Real-time Example-based Stylization of 3D Models 

    Hauptfleisch, Filip; Texler, Ondrej; Texler, Aneta; Krivánek, Jaroslav; Sýkora, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a novel approach to the real-time non-photorealistic rendering of 3D models in which a single hand-drawn exemplar specifies its appearance. We employ guided patch-based synthesis to achieve high visual quality ...
  • Multi-scale Information Assembly for Image Matting 

    Qiao, Yu; Liu, Yuhao; Zhu, Qiang; Yang, Xin; Wang, Yuxin; Zhang, Qiang; Wei, Xiaopeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Image matting is a long-standing problem in computer graphics and vision, mostly identified as the accurate estimation of the foreground in input images.We argue that the foreground objects can be represented by different-level ...
  • A Multi-Person Selfie System via Augmented Reality 

    Lin, Jie; Yang, Chuan-Kai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    The limited length of a selfie stick always poses the problem of distortion in a selfie, in spite of the prevalence of selfie stick in recent years.We propose a technique, based on modifying existing augmented reality ...
  • Interactive Design and Preview of Colored Snapshots of Indoor Scenes 

    Fu, Qiang; Yan, Hai; Fu, Hongbo; Li, Xueming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    This paper presents an interactive system for quickly designing and previewing colored snapshots of indoor scenes. Different from high-quality 3D indoor scene rendering, which often takes several minutes to render a ...
  • Simultaneous Multi-Attribute Image-to-Image Translation Using Parallel Latent Transform Networks 

    Xu, Sen-Zhe; Lai, Yu-Kun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Image-to-image translation has been widely studied. Since real-world images can often be described by multiple attributes, it is useful to manipulate them at the same time. However, most methods focus on transforming between ...
  • Diversifying Semantic Image Synthesis and Editing via Class- and Layer-wise VAEs 

    Endo, Yuki; Kanamori, Yoshihiro (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Semantic image synthesis is a process for generating photorealistic images from a single semantic mask. To enrich the diversity of multimodal image synthesis, previous methods have controlled the global appearance of an ...
  • Not All Areas Are Equal: A Novel Separation-Restoration-Fusion Network for Image Raindrop Removal 

    Ren, Dongdong; Li, Jinbao; Han, Meng; Shu, Minglei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Detecting and removing raindrops from an image while keeping the high quality of image details has attracted tremendous studies, but remains a challenging task due to the inhomogeneity of the degraded region and the ...
  • CLA-GAN: A Context and Lightness Aware Generative Adversarial Network for Shadow Removal 

    Zhang, Ling; Long, Chengjiang; Yan, Qingan; Zhang, Xiaolong; Xiao, Chunxia (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In this paper, we propose a novel context and lightness aware Generative Adversarial Network (CLA-GAN) framework for shadow removal, which refines a coarse result to a final shadow removal result in a coarse-to-fine fashion. ...
  • SCGA-Net: Skip Connections Global Attention Network for Image Restoration 

    Ren, Dongdong; Li, Jinbao; Han, Meng; Shu, Minglei (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Deep convolutional neural networks (DCNN) have shown their advantages in the image restoration tasks. But most existing DCNN-based methods still suffer from the residual corruptions and coarse textures. In this paper, we ...
  • Pixel-wise Dense Detector for Image Inpainting 

    Zhang, Ruisong; Quan, Weize; Wu, Baoyuan; Li, Zhifeng; Yan, Dong-Ming (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Recent GAN-based image inpainting approaches adopt an average strategy to discriminate the generated image and output a scalar, which inevitably lose the position information of visual artifacts. Moreover, the adversarial ...
  • Deep Separation of Direct and Global Components from a Single Photograph under Structured Lighting 

    Duan, Zhaoliang; Bieron, James; Peers, Pieter (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present a deep learning based solution for separating the direct and global light transport components from a single photograph captured under high frequency structured lighting with a co-axial projector-camera setup. ...
  • Weakly Supervised Part-wise 3D Shape Reconstruction from Single-View RGB Images 

    Niu, Chengjie; Yu, Yang; Bian, Zhenwei; Li, Jun; Xu, Kai (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    In order for the deep learning models to truly understand the 2D images for 3D geometry recovery, we argue that singleview reconstruction should be learned in a part-aware and weakly supervised manner. Such models lead to ...
  • InstanceFusion: Real-time Instance-level 3D Reconstruction Using a Single RGBD Camera 

    Lu, Feixiang; Peng, Haotian; Wu, Hongyu; Yang, Jun; Yang, Xinhang; Cao, Ruizhi; Zhang, Liangjun; Yang, Ruigang; Zhou, Bin (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    We present InstanceFusion, a robust real-time system to detect, segment, and reconstruct instance-level 3D objects of indoor scenes with a hand-held RGBD camera. It combines the strengths of deep learning and traditional ...
  • Generating High-quality Superpixels in Textured Images 

    Zhang, Zhe; Xu, Panpan; Chang, Jian; Wang, Wencheng; Zhao, Chong; Zhang, Jian Jun (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Superpixel segmentation is important for promoting various image processing tasks. However, existing methods still have difficulties in generating high-quality superpixels in textured images, because they cannot separate ...
  • Coarse to Fine:Weak Feature Boosting Network for Salient Object Detection 

    Zhang, Chenhao; Gao, Shanshan; Pan, Xiao; Wang, Yuting; Zhou, Yuanfeng (The Eurographics Association and John Wiley & Sons Ltd., 2020)
    Salient object detection is to identify objects or regions with maximum visual recognition in an image, which brings significant help and improvement to many computer visual processing tasks. Although lots of methods have ...

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