Now showing items 41-60 of 2371

    • TreeGCN-ED: A Tree-Structured Graph-Based Autoencoder Framework For Point Cloud Processing 

      Singh, Prajwal; Tiwari, Ashish; Sadekar, Kaustubh; Raman, Shanmuganathan (The Eurographics Association, 2023)
      Point cloud is a widely used technique for representing and storing 3D geometric data. Several methods have been proposed for processing point clouds for tasks such as 3D shape classification and clustering. This work ...
    • Hand Shadow Art: A Differentiable Rendering Perspective 

      Gangopadhyay, Aalok; Singh, Prajwal; Tiwari, Ashish; Raman, Shanmuganathan (The Eurographics Association, 2023)
      Shadow art is an exciting form of sculptural art that produces captivating artistic effects through the 2D shadows cast by 3D shapes. Hand shadows, also known as shadow puppetry or shadowgraphy, involve creating various ...
    • 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 ...
    • Generalizable Dynamic Radiance Fields For Talking Head Synthesis With Few-shot 

      Dang, Rujing; Wang, Shaohui; Wang, Haoqian (The Eurographics Association, 2023)
      Audio-driven talking head generation has wide applications in virtual games, hosts, online meetings, etc. Recently, great achievements have been made in synthesizing talking heads based on neural radiance fields. However, ...
    • Text2Mat: Generating Materials from Text 

      He, Zhen; Guo, Jie; Zhang, Yan; Tu, Qinghao; Chen, Mufan; Guo, Yanwen; Wang, Pengyu; Dai, Wei (The Eurographics Association, 2023)
      Specific materials are often associated with a certain type of objects in the real world. They simulate the way the surface of the object interacting with light and are named after that type of object. We observe that the ...
    • Local Positional Encoding for Multi-Layer Perceptrons 

      Fujieda, Shin; Yoshimura, Atsushi; Harada, Takahiro (The Eurographics Association, 2023)
      A multi-layer perceptron (MLP) is a type of neural networks which has a long history of research and has been studied actively recently in computer vision and graphics fields. One of the well-known problems of an MLP is ...
    • Automatic Vector Caricature via Face Parametrization 

      Madono, Koki; Hold-Geoffroy, Yannick; Li, Yijun; Ito, Daichi; Echevarria, Jose; Smith, Cameron (The Eurographics Association, 2023)
      Automatic caricature generation is a challenging task that aims to emphasize the subject's facial characteristics while preserving its identity. Due to the complexity of the task, caricatures could exclusively be performed ...
    • A Style Transfer Network of Local Geometry for 3D Mesh Stylization 

      Kang, Hongyuan; Dong, Xiao; Guo, Xufei; Cao, Juan; Chen, Zhonggui (The Eurographics Association, 2023)
      Style transfer of images develops rapidly, however, only a few studies focus on geometric style transfer on 3D models. In this paper, we propose a style learning network to synthesize local geometric textures with similar ...
    • Multi-Stage Degradation and Content Embedding Fusion for Blind Super-Resolution 

      Zhang, Haiyang; Jiang, Mengyu; Liu, Liang (The Eurographics Association, 2023)
      To achieve promising results on blind image super-resolution (SR), some Unsupervised Degradation Prediction (UDP) methods narrow the domain gap between the degradation embedding space and the SR feature space by fusing the ...
    • DASKEL: An Interactive Choreographical System with Labanotation-Skeleton Translation 

      Luo, Siyuan; Yu, Borou; Wang, Zeyu (The Eurographics Association, 2023)
      We propose DASKEL, a real-time interactive choreography system with bidirectional human skeleton-Labanotation conversion. DASKEL fuses dance notation (DA) with human skeleton data (SKEL). Our approach connects dance data ...
    • Feature-Sized Sampling for Vector Line Art 

      Ohrhallinger, Stefan; Parakkat, Amal Dev; Memari, Pooran (The Eurographics Association, 2023)
      By introducing a first-of-its-kind quantifiable sampling algorithm based on feature size, we present a fresh perspective on the practical aspects of planar curve sampling. Following the footsteps of e-sampling, which was ...
    • WaveNet: Wave-Aware Image Enhancement 

      Dang, Jiachen; Li, Zehao; Zhong, Yong; Wang, Lishun (The Eurographics Association, 2023)
      As a low-level vision task, image enhancement is widely used in various computer vision applications. Recently, multiple methods combined with CNNs, MLP, Transformer, and the Fourier transform have achieved promising results ...
    • 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 ...
    • 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 ...
    • Pacific Graphics 2023 - Short Papers and Posters: Frontmatter 

      Chaine, Raphaëlle; Deng, Zhigang; Kim, Min H. (The Eurographics Association, 2023)
    • Exploring the Impact of Synthetic Data Generation on Texture-based Image Classification Tasks 

      Yordanov, Borislav; Harvey, Carlo; Williams, Ian; Ashley, Craig; Fairbrass, Paul (The Eurographics Association, 2023)
      In this study, we introduce a novel pipeline for synthetic data generation of textured surfaces, motivated by the limitations of conventional methods such as Generative Adversarial Networks (GANs) and Computer-Aided Design ...
    • ReInHerit a Museum: Enhancing Museum Experience and Broadening Audience Participation Through an Immersive Performance using Media-Art, and Augmented Reality 

      Papadas, Stefanos; Papapetrou, Andreas; Frangoudes, Fotos; Polydorou, Alexis; Gavriel, Christodoula; Kyriakou, Niki; Neokleous, Kleanthis (The Eurographics Association, 2023)
      This paper delves into the immersive performance, ''ReInHerit a Museum'' held at the Bank of Cyprus Cultural Foundation. Through exploration and analysis of the conceptual framework and the audience's interaction with an ...
    • Integrating Julia Code into the Unity Game Engine to Dive into Aquatic Plant Growth 

      Lewerentz, Anne; Manke, Nico; Schantz, David; Sarmento Cabral, Juliano; Mammen, Sebastian von (The Eurographics Association, 2023)
      Ecologists use process-based ecological models to predict biodiversity, but their complex results can be challenging to com- municate. This challenge can be addressed through interactive visual simulations, which are easy ...
    • FictionalWorlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs 

      Sun, Yuqian; Wang, Hanyi; Chan, Pok Man; Tabibi, Morteza; Zhang, Yan; Lu, Huan; Chen, Yuheng; Lee, Chang Hee; Asadipour, Ali (The Eurographics Association, 2023)
      We address the integration of storytelling and Large Language Models (LLMs) to develop engaging and believable Social Chatbots (SCs) in community settings. Motivated by the potential of fictional characters to enhance ...
    • Collision Free Simplification for 2D Multi-Layered Shapes 

      Gong, Xianjin; Parakkat, Amal Dev; Rohmer, Damien (The Eurographics Association, 2023)
      We propose a simplification-aware untangling algorithm for 2D layered shapes stacked on each other. While the shape undergoes simplification, our approach adjusts the vertex positions to prevent collision with other layers ...