Display Rendering
Below is a listing of the work presented at the SIGGRAPH 2020 Posters. To explore the content in detail, please review the program’s listing on the ACM Digital Library.
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Posters: Display & Rendering
Event TypePoster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
A Method for Appropriate Occlusion Between a Mid-air 3DCG Object and a Hand by Projecting an Image on the Hand
SessionPosters: Display & Rendering
Contributors
Mayumi Takazaki
Shinji MIzuno
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe propose a method to realize appropriate occlusion between a mid-air stereoscopic 3DCG object and a hand in direct interaction with the 3DCG object by hand. Our method analyzes the positional relationship between the hand, the 3DCG object, and the user's viewpoint. Then, it projects an image onto the hand.
INVITED TO THE FIRST ROUND OF THE STUDENT RESEARCH COMPETITION
INVITED TO THE FIRST ROUND OF THE STUDENT RESEARCH COMPETITION
Contributors
Mayumi Takazaki
Aichi Institute of Technology
Shinji MIzuno
Aichi Institute of Technology
A Painterly Rendering Approach to Create Still-life Paintings With Dynamic Lighting
SessionPosters: Display & Rendering
Contributors
Meena Subramanian
Ergun Akleman
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe present a method to turn still-life paintings with global illumination into dynamic paintings with moving area lights. Our method specifically focuses on still-life images containing glass objects, which can have specular highlights with Fresnel effect and fruits, which can have reflection and subsurface scattering.
SECOND PLACE - GRADUATE DIVISION - STUDENT RESEARCH COMPETITION
SECOND PLACE - GRADUATE DIVISION - STUDENT RESEARCH COMPETITION
Contributors
Meena Subramanian
Texas A&M University
Texas A&M University
Ergun Akleman
Texas A&M University
Texas A&M University
A Six-flux Transfer Approach for Efficient Layered Materials Rendering
SessionPosters: Display & Rendering
Contributors
Joël Randrianandrasana
Patrick Callet
Laurent Lucas
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe introduce an efficient approach for layered material rendering for handling participating media layers.
Contributors
Joël Randrianandrasana
University of Reims Champagne Ardenne
United Visual Researchers
Patrick Callet
MINES ParisTech
Laurent Lucas
University of Reims Champagne Ardenne
Deeply Emotional Talking Head: A Generative Adversarial Network Approach to Expressive Speech Synthesis With Emotion Control
SessionPosters: Display & Rendering
Contributors
Filipe Antonio de Barros Reis
Paula Dornhofer Paro Costa
José Mario de Martino
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe propose a novel approach to talking-head synthesis using generative adversarial networks with specific attributes for emotion expression. Our system receives input facial key points and a target emotion and outputs expressive visual speech with facial expressions that convey the targeted emotion.
Contributors
Filipe Antonio de Barros Reis
Universidade Estadual de Campinas
Paula Dornhofer Paro Costa
Universidade Estadual de Campinas
José Mario de Martino
Universidade Estadual de Campinas
Non-photorealistic Radiance Remapping
SessionPosters: Display & Rendering
Contributors
Kohei Doi
Yuki Morimoto
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionIn this paper, we propose a radiance remapping technique for non-photorealistic expression in a path-tracing framework.
FIRST PLACE - UNDERGRADUATE DIVISION - STUDENT RESEARCH COMPETITION
FIRST PLACE - UNDERGRADUATE DIVISION - STUDENT RESEARCH COMPETITION
Contributors
Kohei Doi
Kyushu University
Yuki Morimoto
Kyushu University
Rendering of 4D Ultrasound Data With Denoised Monte Carlo Path Tracing
SessionPosters: Display & Rendering
Contributors
Kaloian Petkov
Daphne Yu
Helene Houle
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe present a photorealistic rendering system for 4D ultrasound data based on Monte Carlo path tracing, where a recurrent denoising autoencoder is trained on a large collection of images to produce noise-free images with a reduced number of samples per pixel.
Contributors
Kaloian Petkov
Siemens Healthineers
Daphne Yu
Siemens Healthineers
Helene Houle
Siemens Healthineers
Uncertainty Quantification for Multi-scan Registration
SessionPosters: Display & Rendering
Contributors
Xiangru Huang
Zhenxiao Liang
Qixing Huang
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe introduce robust and informative uncertainty measures for multi-scan registration that only requires a single input. Applications include automatic checking of registration quality and model-based view planning for 3D acquisition.
Contributors
Xiangru Huang
University of Texas at Austin
Zhenxiao Liang
University of Texas at Austin
Qixing Huang
Qixing Huang
Visualization of Angle-dependent Plasmonic Structural Coloration by FDTD-simulated BSDF and Ray-tracing Rendering
SessionPosters: Display & Rendering
Contributors
Wei Sen Loi
Kenneth Chau
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionWe develop a rendering pipeline to visualize angle-dependent structural coloration from plasmonic nanostructures using FDTD-simulated BSDF material database and ray-tracing rendering.
THIRD PLACE - GRADUATE DIVISION - STUDENT RESEARCH COMPETITION
THIRD PLACE - GRADUATE DIVISION - STUDENT RESEARCH COMPETITION
Contributors
Wei Sen Loi
University of British Columbia
Kenneth Chau
University of British Columbia
Wide Viewing Angle 3D Aerial Display Using Micro-mirror Array Plates and Aerially-coupled 3D Light Sources
SessionPosters: Display & Rendering
Contributors
Naoki Hashimoto
Kota Murofushi
Event Type
Poster
Arts & Design
Gaming & Interactive
Research & Education
AI/Machine Learning
Rendering
Time
LocationCarousel
DescriptionIn this study, we propose a method to produce a 3D aerial image display with a wide viewing angle by seamlessly coupling 3D images in midair by using a simple mirror structure.
Contributors
Naoki Hashimoto
University of Electro-Communications
Kota Murofushi
University of Electro-Communications