Proceedings. Pacific Conference on Computer Graphics and Applications最新文献_第4页

Real-Time Antialiased Area Lighting Using Multi-Scale Linearly Transformed Cosines 使用多尺度线性变换余弦的实时抗走样区域照明

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2021-01-01 DOI: 10.2312/PG.20211380

Chengzhi Tao, Jie Guo, Chen Gong, Beibei Wang, Yanwen Guo

引用次数: 0

Art-directing Appearance using an Environment Map Latent Space 使用环境地图潜在空间的艺术指导外观

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2021-01-01 DOI: 10.2312/PG.20211386

Lohit Petikam, Andrew Chalmers, K. Anjyo, Taehyun Rhee

{"title":"Art-directing Appearance using an Environment Map Latent Space","authors":"Lohit Petikam, Andrew Chalmers, K. Anjyo, Taehyun Rhee","doi":"10.2312/PG.20211386","DOIUrl":"https://doi.org/10.2312/PG.20211386","url":null,"abstract":"In look development, environment maps (EMs) are used to verify 3D appearance in varied lighting (e.g., overcast, sunny, and indoor). Artists can only assign one fixed material, making it laborious to edit appearance uniquely for all EMs. Artists can artdirect material and lighting in film post-production. However, this is impossible in dynamic real-time games and live augmented reality (AR), where environment lighting is unpredictable. We present a new workflow to customize appearance variation across a wide range of EM lighting, for live applications. Appearance edits can be predefined, and then automatically adapted to environment lighting changes. We achieve this by learning a novel 2D latent space of varied EM lighting. The latent space lets artists browse EMs in a semantically meaningful 2D view. For different EMs, artists can paint different material and lighting parameter values directly on the latent space. We robustly encode new EMs into the same space, for automatic look-up of the desired appearance. This solves a new problem of preserving art-direction in live applications, without any artist intervention. CCS Concepts • Computing methodologies → Dimensionality reduction and manifold learning; Rendering;","PeriodicalId":88304,"journal":{"name":"Proceedings. Pacific Conference on Computer Graphics and Applications","volume":"35 1","pages":"43-48"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86695933","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 Motion Synthesis and Control via Contextual Manifold Embedding 基于上下文流形嵌入的人体运动合成与控制

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2021-01-01 DOI: 10.2312/PG.20211383

Rui Zeng, Ju Dai, Junxuan Bai, Junjun Pan, Hong Qin

{"title":"Human Motion Synthesis and Control via Contextual Manifold Embedding","authors":"Rui Zeng, Ju Dai, Junxuan Bai, Junjun Pan, Hong Qin","doi":"10.2312/PG.20211383","DOIUrl":"https://doi.org/10.2312/PG.20211383","url":null,"abstract":"Modeling motion dynamics for precise and rapid control by deterministic data-driven models is challenging due to the natural randomness of human motion. To address it, we propose a novel framework for continuous motion control by probabilistic latent variable models. The control is implemented by recurrently querying between historical and target motion states rather than exact motion data. Our model takes a conditional encoder-decoder form in two stages. Firstly, we utilize Gaussian Process Latent Variable Model (GPLVM) to project motion poses to a compact latent manifold. Motion states could be clearly recognized by analyzing on the manifold, such as walking phase and forwarding velocity. Secondly, taking manifold as prior, a Recurrent Neural Network (RNN) encoder makes temporal latent prediction from the previous and control states. An attention module then morphs the prediction by measuring latent similarities to control states and predicted states, thus dynamically preserving contextual consistency. In the end, the GP decoder reconstructs motion states back to motion frames. Experiments on walking datasets show that our model is able to maintain motion states autoregressively while performing rapid and smooth transitions for the control. CCS Concepts • Computing methodologies → Motion processing; Motion capture; Motion path planning; Learning latent representations;","PeriodicalId":88304,"journal":{"name":"Proceedings. Pacific Conference on Computer Graphics and Applications","volume":"10 3 1","pages":"25-30"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73673739","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

SM-NET: Reconstructing 3D Structured Mesh Models from Single Real-World Image SM-NET:从单个真实世界图像重建三维结构化网格模型

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2021-01-01 DOI: 10.2312/PG.20211388

Yue Yu, Ying Li, Jingyi Zhang, Yue Yang

引用次数: 0

A deep learning based interactive sketching system for fashion images design 基于深度学习的时尚图像设计交互素描系统

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2020-10-09 DOI: 10.2312/PG.20201224

Yao Li, Xianggang Yu, Xiaoguang Han, Nianjuan Jiang, K. Jia, Jiangbo Lu

引用次数: 4

Using Landmarks for Near-Optimal Pathfinding on the CPU and GPU 在CPU和GPU上使用地标进行近最优寻路

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2020-01-01 DOI: 10.2312/pg.20201228

M. Reischl, Christian Knauer, M. Guthe

引用次数: 1

Stroke Synthesis for Inbetweening of Rough Line Animations 粗线动画中间的笔画合成

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2020-01-01 DOI: 10.2312/pg.20201233

Jiazhou Chen, Xinding Zhu, P. Bénard, Pascal Barla

引用次数: 1

Simple Simulation of Curved Folds Based on Ruling-aware Triangulation 基于规则感知三角剖分的弯曲褶皱简单仿真

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2020-01-01 DOI: 10.2312/pg.20201227

Kosuke Sasaki, J. Mitani

引用次数: 1

Monocular 3D Fluid Volume Reconstruction Based on a Multilayer External Force Guiding Model 基于多层外力导向模型的单眼三维流体体积重建

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2020-01-01 DOI: 10.2312/pg.20201225

Zhiyuan Su, Xiaoying Nie, Xukun Shen, Yong Hu

引用次数: 1

Day-to-Night Road Scene Image Translation Using Semantic Segmentation 基于语义分割的日夜道路场景图像翻译

Proceedings. Pacific Conference on Computer Graphics and Applications Pub Date : 2020-01-01 DOI: 10.2312/pg.20201231

S. Baek, Sungkil Lee

引用次数: 1