Now showing items 163-182 of 208

    • Saliency-driven Depth Compression for 3D Image Warping 

      Gu, Minjie; Hu, Shanfeng; Wang, Xiaochuan; Liang, Xiaohui; Shen, Xukun; Qin, Aihong (The Eurographics Association, 2014)
      Current compression methods compress depth images by incorporating 2D features, which leads to a loss of the detail of the original 3D object in the recovered depth image. The main idea of this paper is to augment 2D ...
    • Scene Segmentation and Understanding for Context-Free Point Clouds 

      Spina, Sandro; Debattista, Kurt; Bugeja, Keith; Chalmers, Alan (The Eurographics Association, 2014)
      The continuous development of new commodity hardware intended to capture the surface structure of objects is quickly making point cloud data ubiquitous. Scene understanding methods address the problem of determining the ...
    • SDALIE-GAN: Structure and Detail Aware GAN for Low-light Image Enhancement 

      Pang, Youxin; Yuan, Mengke; Chang, Yuchun; Yan, Dong-Ming (The Eurographics Association, 2021)
      We present a GAN-based network architecture for low-light image enhancement, called Structure and Detail Aware Low-light Image Enhancement GAN (SDALIE-GAN), which is trained with unpaired low/normal-light images. Specifically, ...
    • Shadow Removal via Cascade Large Mask Inpainting 

      Kim, Juwan; Kim, Seung-Heon; Jang, Insung (The Eurographics Association, 2022)
      We present a novel shadow removal framework based on the image inpainting approach. The proposed method consists of two cascade Large-Mask inpainting(LaMa) networks for shadow inpainting and edge inpainting. Experiments ...
    • Shape Interpolation via Multiple Curves 

      Sahillioglu, Yusuf; Aydinlilar, Melike (The Eurographics Association, 2018)
      We present a method that interpolates new shapes between a given pair of source and target shapes. To this end, we utilize a database of related shapes that is used to replace the direct transition from the source to the ...
    • A Simple Artistic Rendering Method for Stereoscopic Images 

      Li, Dajin; Bai, Chengjie (The Eurographics Association, 2014)
      General painterly rendering algorithms cannot be used to render stereo image pair separately because they may produce random noise and lead to inconsistency between binocular images. In this paper, a generic rendering ...
    • Simple Simulation of Curved Folds Based on Ruling-aware Triangulation 

      Sasaki, Kosuke; Mitani, Jun (The Eurographics Association, 2020)
      Folding a thin sheet material such as paper along curves creates a developable surface composed of ruled surface patches. When using such surfaces in design, designers often repeat a process of folding along curves drawn ...
    • A Simple Stochastic Regularization Technique for Avoiding Overfitting in Low Resource Image Classification 

      Ji, Ya Tu; Wang, Bai Lun; Ren, Qing Dao Er Ji; Shi, Bao; Wu, Nier E.; Lu, Min; Liu, Na; Zhuang, Xu Fei; Xu, Xuan Xuan; Wang, Li; Dai, Ling Jie; Yao, Miao Miao; Li, Xiao Mei (The Eurographics Association, 2023)
      Drop type technique, as a method that can effectively regulate the co-adaptations and prediction ability of neural network units, is widely used in model parameter optimization to reduce overfitting problems. However, low ...
    • Simultaneous Stereo Rectification and Distortion Correction with Application to DoF Synthesis 

      Yeh, Chen Ting; Ho, Tien-Yu; Huang, Szu-Hao; Lai, Shang-Hong (The Eurographics Association, 2015)
      Stereo rectification based on epipolar geometry is an image transformation process which is used to align the rectified stereo images to be coplanar. For image pairs captured by low-cost stereo camera systems, image noises ...
    • Skeleton-based Generalized Cylinder Deformation under the Relative Curvature Condition 

      Ma, Ruibin; Zhao, Qingyu; Wang, Rui; Damon, James; Rosenman, Julian; Pizer, Stephen (The Eurographics Association, 2018)
      Deformation of a generalized cylinder with a parameterized shape change of its centerline is a non-trivial task when the surface is represented as a high-resolution triangle mesh, particularly when self-intersection and ...
    • Sketch-based Breaking Waves 

      Zhang, Guijuan; Wen, Gaojin; Zhu, Dengming; Lu, Dianjie; Feng, Shengzhong (The Eurographics Association, 2011)
      We present a sketching method for animating breaking waves in this paper. Our approach allows an animator to control physically-based wave breaking effects by drawing the outline of the wave shape intuitively. To do this, ...
    • Sketch-to-Architecture: Generative AI-aided Architectural Design 

      Li, Pengzhi; Li, Baijuan; Li, Zhiheng (The Eurographics Association, 2023)
      Recently, the development of large-scale models has paved the way for various interdisciplinary research, including architecture. By using generative AI, we present a novel workflow that utilizes AI models to generate ...
    • SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction 

      Wang, Fei; Tang, Kongzhang; Wu, Hefeng; Zhao, Baoquan; Cai, Hao; Zhou, Teng (The Eurographics Association, 2023)
      Reconstructing 3D human shapes from 2D images has received increasing attention recently due to its fundamental support for many high-level 3D applications. Compared with natural images, freehand sketches are much more ...
    • Sky Browser: Search for HDR Sky Maps 

      Chalmers, Andrew; Lewis, John; Hillman, Peter; Tait, Charlie; Rhee, Taehyun (The Eurographics Association, 2014)
      In a visual effects studio for movie production, sky maps play an important role for acting as a sky backdrop to a scene. The backdrop to a scene is often represented using a high-resolution sky map. This motivates the ...
    • SM-NET: Reconstructing 3D Structured Mesh Models from Single Real-World Image 

      Yu, Yue; Li, Ying; Zhang, Jing-Yu; Yang, Yue (The Eurographics Association, 2021)
      Image-based 3D structured model reconstruction enables the network to learn the missing information between the dimensions and understand the structure of the 3D model. In this paper, SM-NET is proposed in order to reconstruct ...
    • Spherical Blue Noise 

      Wong, Kin-Ming; Wong, Tien-Tsin (The Eurographics Association, 2018)
      We present a physically based method which generates unstructured uniform point set directly on the S2-sphere. Spherical uniform point sets are useful for illumination sampling in Quasi Monte Carlo (QMC) rendering but it ...
    • SS-SfP: Neural Inverse Rendering for Self Supervised Shape from (Mixed) Polarization 

      Tiwari, Ashish; Raman, Shanmuganathan (The Eurographics Association, 2023)
      We present a novel inverse rendering-based framework to estimate the 3D shape (per-pixel surface normals and depth) of objects and scenes from single-view polarization images, the problem popularly known as Shape from ...
    • StretchDenoise: Parametric Curve Reconstruction with Guarantees by Separating Connectivity from Residual Uncertainty of Samples 

      Ohrhallinger, Stefan; Wimmer, Michael (The Eurographics Association, 2018)
      We reconstruct a closed denoised curve from an unstructured and highly noisy 2D point cloud. Our proposed method uses a two-pass approach: Previously recovered manifold connectivity is used for ordering noisy samples along ...
    • Stroke Synthesis for Inbetweening of Rough Line Animations 

      Chen, Jiazhou; Zhu, Xinding; Bénard, Pierre; Barla, Pascal (The Eurographics Association, 2020)
      In this paper, we present a stroke synthesis approach for the inbetweening of rough line animations. In pre-process, keyframe strokes are transformed by local perturbation and sliding to generate a number of candidate ...
    • Structure-Preserving Image Smoothing via Phase Congruency-aware Weighted Least Square 

      Yu, Jinze; Sato, Yoichi (The Eurographics Association, 2015)
      Structure-preserving image smoothing, or also understood as structure-texture separation problem, is an important topic for both computer vision and computer graphics as structure-texture separation can help better image ...