Proceedings. Pacific Conference on Computer Graphics and Applications最新文献

Cloud-Assisted Hybrid Rendering for Thin-Client Games and VR Applications 用于瘦客户端游戏和VR应用的云辅助混合渲染

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-10-11 DOI: 10.2312/pg.20211389

Yuzao Tan, Louiz Kim-Chan, Anthony Halim, A. Bhojan

引用次数: 1

Shadow Removal via Cascade Large Mask Inpainting 阴影去除通过级联大面具油漆

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221246

Juwan Kim, Seung-Heon Kim, I. Jang

引用次数: 0

DFGA: Digital Human Faces Generation and Animation from the RGB Video using Modern Deep Learning Technology DFGA:利用现代深度学习技术从RGB视频中生成数字人脸和动画

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221249

Diqiong Jiang, Li You, Jian Chang, Ruofeng Tong

引用次数: 0

Multi-instance Referring Image Segmentation of Scene Sketches based on Global Reference Mechanism 基于全局参考机制的场景草图多实例参考图像分割

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221238

Pengyang Ling, Haoran Mo, Chengying Gao

{"title":"Multi-instance Referring Image Segmentation of Scene Sketches based on Global Reference Mechanism","authors":"Pengyang Ling, Haoran Mo, Chengying Gao","doi":"10.2312/pg.20221238","DOIUrl":"https://doi.org/10.2312/pg.20221238","url":null,"abstract":"Scene sketch segmentation based on referring expression plays an important role in sketch editing of anime industry. While most existing referring image segmentation approaches are designed for the standard task of generating a binary segmentation mask for a single or a group of target(s), we think it necessary to equip these models with the ability of multi-instance segmentation. To this end, we propose GRM-Net, a one-stage framework tailored for multi-instance referring image segmentation of scene sketches. We extract the language features from the expression and fuse it into a conventional instance segmentation pipeline for filtering out the undesired instances in a coarse-to-fine manner and keeping the matched ones. To model the relative arrangement of the objects and the relationship among them from a global view, we propose a global reference mechanism (GRM) to assign references to each detected candidate to identify its position. We compare with existing methods designed for multi-instance referring image segmentation of scene sketches and for the standard task of referring image segmentation, and the results demonstrate the effectiveness and superiority of our approach.","PeriodicalId":88304,"journal":{"name":"Proceedings. Pacific Conference on Computer Graphics and Applications","volume":"1 1","pages":"7-12"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83026370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Human Face Modeling based on Deep Learning through Line-drawing 基于线条绘制的深度学习人脸建模

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221239

Bin Deng, Y. Kawanaka, S. Sato, K. Sakurai, Shang Gao, Z. Tang

引用次数: 0

Reconstructing Bounding Volume Hierarchies from Memory Traces of Ray Tracers 从光线追踪器的记忆轨迹重建边界体层次结构

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221243

Max von Bülow, Tobias Stensbeck, V. Knauthe, S. Guthe, D. Fellner

{"title":"Reconstructing Bounding Volume Hierarchies from Memory Traces of Ray Tracers","authors":"Max von Bülow, Tobias Stensbeck, V. Knauthe, S. Guthe, D. Fellner","doi":"10.2312/pg.20221243","DOIUrl":"https://doi.org/10.2312/pg.20221243","url":null,"abstract":"The ongoing race to improve computer graphics leads to more complex GPU hardware and ray tracing techniques whose internal functionality is sometimes hidden to the user. Bounding volume hierarchies and their construction are an important performance aspect of such ray tracing implementations. We propose a novel approach that utilizes binary instrumentation to collect memory traces and then uses them to extract the bounding volume hierarchy (BVH) by analyzing access patters. Our reconstruction allows combining memory traces captured from multiple ray tracing views independently, increasing the reconstruction result. It reaches accuracies of 30% to 45% when comparing against the ground-truth BVH used for ray tracing a single view on a simple scene with one object. With multiple views it is even possible to reconstruct the whole BVH, while we already achieve 98% with just seven views. Because our approach is largely independent of the data structures used in-ternally, these accurate reconstructions serve as a first step into estimation of unknown construction techniques of ray tracing implementations.","PeriodicalId":88304,"journal":{"name":"Proceedings. Pacific Conference on Computer Graphics and Applications","volume":"60 1","pages":"29-34"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81734255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Intersection Distance Field Collision for GPU 交叉距离场碰撞GPU

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221242

Bastian Krayer, Rebekka Görge, Stefan Müller

引用次数: 0

Adaptive and Dynamic Regularization for Rolling Guidance Image Filtering 滚动制导图像滤波的自适应和动态正则化

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221245

M. Fukatsu, S. Yoshizawa, H. Takemura, H. Yokota

引用次数: 0

Learning a Style Space for Interactive Line Drawing Synthesis from Animated 3D Models 从动画3D模型学习交互式线条合成的风格空间

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221237

Zeyu Wang, Tuanfeng Y. Wang, Julie Dorsey

{"title":"Learning a Style Space for Interactive Line Drawing Synthesis from Animated 3D Models","authors":"Zeyu Wang, Tuanfeng Y. Wang, Julie Dorsey","doi":"10.2312/pg.20221237","DOIUrl":"https://doi.org/10.2312/pg.20221237","url":null,"abstract":"Most non-photorealistic rendering (NPR) methods for line drawing synthesis operate on a static shape. They are not tailored to process animated 3D models due to extensive per-frame parameter tuning needed to achieve the intended look and natural transition. This paper introduces a framework for interactive line drawing synthesis from animated 3D models based on a learned style space for drawing representation and interpolation. We refer to style as the relationship between stroke placement in a line drawing and its corresponding geometric properties. Starting from a given sequence of an animated 3D character, a user creates drawings for a set of keyframes. Our system embeds the raster drawings into a latent style space after they are disentangled from the underlying geometry. By traversing the latent space, our system enables a smooth transition between the input keyframes. The user may also edit, add, or remove the keyframes interactively, similar to a typical keyframe-based workflow. We implement our system with deep neural networks trained on synthetic line drawings produced by a combination of NPR methods. Our drawing-specific supervision and optimization-based embedding mechanism allow generalization from NPR line drawings to user-created drawings during run time. Experiments show that our approach generates high-quality line drawing animations while allowing interactive control of the drawing style across frames.","PeriodicalId":88304,"journal":{"name":"Proceedings. Pacific Conference on Computer Graphics and Applications","volume":"117 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79373858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interactive Deformable Image Registration with Dual Cursor 交互式可变形图像配准与双光标

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2022-01-01 DOI: 10.2312/pg.20221241

Bin Deng, T. Igarashi, Tsukasa Koike, Taichi Kin

引用次数: 0