EG 2024 - Short Papers

Permanent URI for this collection

Human Simulation
Fast Dynamic Facial Wrinkles
Sebastian Weiss, Prashanth Chandran, Gaspard Zoss, and Derek Bradley
FACTS: Facial Animation Creation using the Transfer of Styles
Jack R. Saunders and Vinay P. Namboodiri
Skeleton-Aware Skin Weight Transfer for Helper Joint Rigs
Cao Ziyuan and Tomohiko Mukai
LATE WITHDRAW: Modern Dance Retargeting using Ribbons as Lines of Action
Manon Vialle, Rémi Ronfard, and Melina Skouras
Animation
Utilizing Motion Matching with Deep Reinforcement Learning for Target Location Tasks
Jeongmin Lee, Taesoo Kwon, Hyunju Shin, and Yoonsang Lee
StarDEM: Efficient Discrete Element Method for Star-shaped Particles
Camille Schreck, Sylvain Lefebvre, David Jourdan, and Jonàs Martínez
Accurate Boundary Condition for Moving Least Squares Material Point Method using Augmented Grid Points
Riku Toyota and Nobuyuki Umetani
Human Computer Interaction and Graphics
Emotional Responses to Exclusionary Behaviors in Intelligent Embodied Augmented Reality Agents
Kalliopi Apostolou, Vaclav Milata, Filip Škola, and Fotis Liarokapis
An Inverse Procedural Modeling Pipeline for Stylized Brush Stroke Rendering
Hao Li, Zhongyue Guan, and Zeyu Wang
Driller: An Intuitive Interface for Designing Tangled and Nested Shapes
Tara Butler, Pascal Guehl, Amal Dev Parakkat, and Marie-Paule Cani
Rendering
Real-time Seamless Object Space Shading
Tianyu Li and Xiaoxin Guo
A Highly Adaptable and Flexible Rendering Engine by Minimum API Bindings
Taejoon Kim
A Fresnel Model for Coated Materials
Hannes B. Vernooij
Rendering and Optimization
Neural Moment Transparency
Grigoris Tsopouridis, Andreas Alexandros Vasilakis, and Ioannis Fudos
A Visual Profiling System for Direct Volume Rendering
Max von Buelow, Daniel Ströter, Arne Rak, and Dieter W. Fellner
A Generative Approach to Light Placement for Street Lighting
Iordanis Evangelou, Nick Vitsas, Georgios Papaioannou, and Anastasios Gkaravelis
Geometry and Modeling
3D Reconstruction from Sketch with Hidden Lines by Two-Branch Diffusion Model
Yuta Fukushima, Anran Qi, I-Chao Shen, Yulia Gryaditskaya, and Takeo Igarashi
Efficient and Accurate Multi-Instance Point Cloud Registration with Iterative Main Cluster Detection
Zhiyuan Yu, Qin Zheng, Chenyang Zhu, and Kai Xu
DeepIron: Predicting Unwarped Garment Texture from a Single Image
Hyun-Song Kwon and Sung-Hee Lee
SPnet: Estimating Garment Sewing Patterns from a Single Image of a Posed User
Seungchan Lim, Sumin Kim, and Sung-Hee Lee

BibTeX (EG 2024 - Short Papers)
@inproceedings{
10.2312:egs.20241016,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Fast Dynamic Facial Wrinkles}},
author = {
Weiss, Sebastian
 and
Chandran, Prashanth
 and
Zoss, Gaspard
 and
Bradley, Derek
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241016}
}
@inproceedings{
10.2312:egs.20241017,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
FACTS: Facial Animation Creation using the Transfer of Styles}},
author = {
Saunders, Jack R.
 and
Namboodiri, Vinay P.
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241017}
}
@inproceedings{
10.2312:egs.20241018,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Skeleton-Aware Skin Weight Transfer for Helper Joint Rigs}},
author = {
Cao, Ziyuan
 and
Mukai, Tomohiko
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241018}
}
@inproceedings{
10.2312:egs.20241019,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Modern Dance Retargeting using Ribbons as Lines of Action}},
author = {
Vialle, Manon
 and
Ronfard, Rémi
 and
Skouras, Melina
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241019}
}
@inproceedings{
10.2312:egs.20241020,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Utilizing Motion Matching with Deep Reinforcement Learning for Target Location Tasks}},
author = {
Lee, Jeongmin
 and
Kwon, Taesoo
 and
Shin, Hyunju
 and
Lee, Yoonsang
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241020}
}
@inproceedings{
10.2312:egs.20241021,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
StarDEM: Efficient Discrete Element Method for Star-shaped Particles}},
author = {
Schreck, Camille
 and
Lefebvre, Sylvain
 and
Jourdan, David
 and
Martínez, Jonàs
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241021}
}
@inproceedings{
10.2312:egs.20241022,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Accurate Boundary Condition for Moving Least Squares Material Point Method using Augmented Grid Points}},
author = {
Toyota, Riku
 and
Umetani, Nobuyuki
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241022}
}
@inproceedings{
10.2312:egs.20241023,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Emotional Responses to Exclusionary Behaviors in Intelligent Embodied Augmented Reality Agents}},
author = {
Apostolou, Kalliopi
 and
Milata, Vaclav
 and
Škola, Filip
 and
Liarokapis, Fotis
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241023}
}
@inproceedings{
10.2312:egs.20241024,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
An Inverse Procedural Modeling Pipeline for Stylized Brush Stroke Rendering}},
author = {
Li, Hao
 and
Guan, Zhongyue
 and
Wang, Zeyu
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241024}
}
@inproceedings{
10.2312:egs.20241025,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Driller: An Intuitive Interface for Designing Tangled and Nested Shapes}},
author = {
Butler, Tara
 and
Guehl, Pascal
 and
Parakkat, Amal Dev
 and
Cani, Marie-Paule
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241025}
}
@inproceedings{
10.2312:egs.20241026,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Real-time Seamless Object Space Shading}},
author = {
Li, Tianyu
 and
Guo, Xiaoxin
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241026}
}
@inproceedings{
10.2312:egs.20241027,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
A Highly Adaptable and Flexible Rendering Engine by Minimum API Bindings}},
author = {
Kim, Taejoon
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241027}
}
@inproceedings{
10.2312:egs.20241028,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
A Fresnel Model for Coated Materials}},
author = {
Vernooij, Hannes B.
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241028}
}
@inproceedings{
10.2312:egs.20241029,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Neural Moment Transparency}},
author = {
Tsopouridis, Grigoris
 and
Vasilakis, Andreas Alexandros
 and
Fudos, Ioannis
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241029}
}
@inproceedings{
10.2312:egs.20241030,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
A Visual Profiling System for Direct Volume Rendering}},
author = {
Buelow, Max von
 and
Ströter, Daniel
 and
Rak, Arne
 and
Fellner, Dieter W.
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241030}
}
@inproceedings{
10.2312:egs.20241031,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
A Generative Approach to Light Placement for Street Lighting}},
author = {
Evangelou, Iordanis
 and
Vitsas, Nick
 and
Papaioannou, Georgios
 and
Gkaravelis, Anastasios
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241031}
}
@inproceedings{
10.2312:egs.20241032,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
3D Reconstruction from Sketch with Hidden Lines by Two-Branch Diffusion Model}},
author = {
Fukushima, Yuta
 and
Qi, Anran
 and
Shen, I-Chao
 and
Gryaditskaya, Yulia
 and
Igarashi, Takeo
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241032}
}
@inproceedings{
10.2312:egs.20241033,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
Efficient and Accurate Multi-Instance Point Cloud Registration with Iterative Main Cluster Detection}},
author = {
Yu, Zhiyuan
 and
Zheng, Qin
 and
Zhu, Chenyang
 and
Xu, Kai
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241033}
}
@inproceedings{
10.2312:egs.20241034,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
DeepIron: Predicting Unwarped Garment Texture from a Single Image}},
author = {
Kwon, Hyun-Song
 and
Lee, Sung-Hee
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241034}
}
@inproceedings{
10.2312:egs.20241035,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
SPnet: Estimating Garment Sewing Patterns from a Single Image of a Posed User}},
author = {
Lim, Seungchan
 and
Kim, Sumin
 and
Lee, Sung-Hee
}, year = {
2024},
publisher = {
The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20241035}
}
@inproceedings{
10.2312:egs.20242002,
booktitle = {
Eurographics 2024 - Short Papers},
editor = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, title = {{
EUROGRAPHICS 2024: Short Papers Frontmatter}},
author = {
Hu, Ruizhen
 and
Charalambous, Panayiotis
}, year = {
2024},
publisher = {
Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-237-0},
DOI = {
10.2312/egs.20242002}
}

Browse

Recent Submissions

Now showing 1 - 21 of 21
  • Item
    Fast Dynamic Facial Wrinkles
    (The Eurographics Association, 2024) Weiss, Sebastian; Chandran, Prashanth; Zoss, Gaspard; Bradley, Derek; Hu, Ruizhen; Charalambous, Panayiotis
    We present a new method to animate the dynamic motion of skin micro wrinkles under facial expression deformation. Since wrinkles are formed as a reservoir of skin for stretching, our model only deforms wrinkles that are perpendicular to the stress axis. Specifically, those wrinkles become wider and shallower when stretched, and deeper and narrower when compressed. In contrast to previous methods that attempted to modify the neutral wrinkle displacement map, our approach is to modify the way wrinkles are constructed in the displacement map. To this end, we build upon a previous synthetic wrinkle generator that allows us to control the width and depth of individual wrinkles when generated on a per-frame basis. Furthermore, since constructing a displacement map per frame of animation is costly, we present a fast approximation approach using pre-computed displacement maps of wrinkles binned by stretch direction, which can be blended interactively in a shader. We compare both our high quality and fast methods with previous techniques for wrinkle animation and demonstrate that our work retains more realistic details.
  • Item
    FACTS: Facial Animation Creation using the Transfer of Styles
    (The Eurographics Association, 2024) Saunders, Jack R.; Namboodiri, Vinay P.; Hu, Ruizhen; Charalambous, Panayiotis
    The ability to accurately capture and express emotions is a critical aspect of creating believable characters in video games and other forms of entertainment. Traditionally, this animation has been achieved with artistic effort or performance capture, both requiring costs in time and labor. More recently, audio-driven models have seen success, however, these often lack expressiveness in areas not correlated to the audio signal. In this paper, we present a novel approach to facial animation by taking existing animations and allowing for the modification of style characteristics. We maintain the lip-sync of the animations with this method thanks to the use of a novel viseme-preserving loss. We perform quantitative and qualitative experiments to demonstrate the effectiveness of our work.
  • Item
    Skeleton-Aware Skin Weight Transfer for Helper Joint Rigs
    (The Eurographics Association, 2024) Cao, Ziyuan; Mukai, Tomohiko; Hu, Ruizhen; Charalambous, Panayiotis
    We propose a method to transfer skin weights and helper joints from a reference model to other targets. Our approach uses two types of spatial proximity to find the correspondence between the target vertex and reference mesh regions. The proposed method first generates a guide weight map to establish a relationship between the skin vertices and skeletal joints using a standard skinning technique. The correspondence between the reference and target skins is established using vertex-to-bone projection and bone-to-skin ray-casting using the guide weights. This method enables fully automated and smooth transfer of skin weight between human-like characters bound to helper joint rigs.
  • Item
    Modern Dance Retargeting using Ribbons as Lines of Action
    (The Eurographics Association, 2024) Vialle, Manon; Ronfard, Rémi; Skouras, Melina; Hu, Ruizhen; Charalambous, Panayiotis
    We present a method for retargetting dancing characters represented as articulated skeletons with possibly different morphologies and topologies. Our approach relies on the use of flexible ribbons that can bend and twist as an intermediate representation, and that can be seen as animated lines of action. These ribbons allow us to abstract away the specific morphology of the bodies and to well transmit the fluidity of modern dance movement from one character to another.
  • Item
    Utilizing Motion Matching with Deep Reinforcement Learning for Target Location Tasks
    (The Eurographics Association, 2024) Lee, Jeongmin; Kwon, Taesoo; Shin, Hyunju; Lee, Yoonsang; Hu, Ruizhen; Charalambous, Panayiotis
    We present an approach using deep reinforcement learning (DRL) to directly generate motion matching queries for longterm tasks, particularly targeting the reaching of specific locations. By integrating motion matching and DRL, our method demonstrates the rapid learning of policies for target location tasks within minutes on a standard desktop, employing a simple reward design. Additionally, we propose a unique hit reward and obstacle curriculum scheme to enhance policy learning in environments with moving obstacles.
  • Item
    StarDEM: Efficient Discrete Element Method for Star-shaped Particles
    (The Eurographics Association, 2024) Schreck, Camille; Lefebvre, Sylvain; Jourdan, David; Martínez, Jonàs; Hu, Ruizhen; Charalambous, Panayiotis
    Granular materials composed of particles with complex shapes are challenging to simulate due to the high number of collisions between the particles. In this context, star shapes are promising: they cover a wide range of geometries from convex to concave and have interesting geometric properties. We propose an efficient method to simulate a large number of identical star-shaped particles. Our method relies on an effective approximation of the contacts between particles that can handle complex shapes, including highly non-convex ones. We demonstrate our method by implementing it in a 2D simulation using the Discrete Element Method, both on the CPU and GPU.
  • Item
    Accurate Boundary Condition for Moving Least Squares Material Point Method using Augmented Grid Points
    (The Eurographics Association, 2024) Toyota, Riku; Umetani, Nobuyuki; Hu, Ruizhen; Charalambous, Panayiotis
    This paper introduces an accurate boundary-handling method for the moving least squares (MLS) material point method (MPM), which is a popular scheme for robustly simulating deformable objects and fluids using a hybrid of particle and grid representations coupled via MLS interpolation. Despite its versatility with different materials, traditional MPM suffers from undesirable artifacts around wall boundaries, for example, particles pass through the walls and accumulate. To address these issues, we present a technique inspired by a line handler for MLS-based image manipulation. Specifically, we augment the grid by adding points along the wall boundary to numerically compute the integration of the MLS weight. These additional points act as background grid points, improving the accuracy of the MLS interpolation around the boundary, albeit with a marginal increase in computational cost. In particular, our technique makes the velocity perpendicular to the wall nearly zero, preventing particles from passing through the wall. We compare the boundary behavior of 2D simulation against that of naïve approach.
  • Item
    Emotional Responses to Exclusionary Behaviors in Intelligent Embodied Augmented Reality Agents
    (The Eurographics Association, 2024) Apostolou, Kalliopi; Milata, Vaclav; Škola, Filip; Liarokapis, Fotis; Hu, Ruizhen; Charalambous, Panayiotis
    This study investigated how interactions with intelligent agents, embodied as augmented reality (AR) avatars displaying exclusionary behaviors, affect users' emotions. Six participants engaged using voice interaction in a knowledge acquisition scenario in an AR environment with two ChatGPT-driven agents. The gaze-aware avatars, simulating realistic body language, progressively demonstrated social exclusion behaviors. Although not statistically significant, our data suggest a post-interaction emotional shift, manifested by decreased positive and negative affect-aligning with previous studies on social exclusion. Qualitative feedback revealed that some users attributed the exclusionary behavior of avatars to system glitches, leading to their disengagement. Our findings highlight challenges and opportunities for embodied intelligent agents, underscoring their potential to shape user experiences within AR, and the broader extended reality (XR) landscape.
  • Item
    An Inverse Procedural Modeling Pipeline for Stylized Brush Stroke Rendering
    (The Eurographics Association, 2024) Li, Hao; Guan, Zhongyue; Wang, Zeyu; Hu, Ruizhen; Charalambous, Panayiotis
    Stylized brush strokes are crucial for digital artists to create drawings that express a desired artistic style. To obtain the ideal brush, artists need to spend much time manually tuning parameters and creating customized brushes, which hinders the completion, redrawing, or modification of digital drawings. This paper proposes an inverse procedural modeling pipeline for predicting brush parameters and rendering stylized strokes given a single sample drawing. Our pipeline involves patch segmentation as a preprocessing step, parameter prediction based on deep learning, and brush generation using a procedural rendering engine. Our method enhances the overall experience of digital drawing recreation by empowering artists with more intuitive control and consistent brush effects.
  • Item
    Driller: An Intuitive Interface for Designing Tangled and Nested Shapes
    (The Eurographics Association, 2024) Butler, Tara; Guehl, Pascal; Parakkat, Amal Dev; Cani, Marie-Paule; Hu, Ruizhen; Charalambous, Panayiotis
    The ability to represent not only isolated shapes but also shapes that interact is essential in various fields, from design to biology or anatomy. In this paper, we propose an intuitive interface to control and edit complex shape arrangements. Using a set of pre-defined shapes that may intersect, our ''Driller'' interface allows users to trigger their local deformation so that they rest on each other, become tangled, or even nest within each other. Driller provides an intuitive way to specify the relative depth of different shapes beneath user-selected points of interest by setting their local depth ordering perpendicularly to the camera's viewpoint. Deformations are then automatically generated by locally propagating these ordering constraints. In addition to being part of the final arrangement, some of the shapes can be used as deformers, which can be later deleted to help sculpt the target shapes. We implemented this solution within a sketch-based modeling system designed for novice users.
  • Item
    Real-time Seamless Object Space Shading
    (The Eurographics Association, 2024) Li, Tianyu; Guo, Xiaoxin; Hu, Ruizhen; Charalambous, Panayiotis
    Object space shading remains a challenging problem in real-time rendering due to runtime overhead and object parameterization limitations. While the recently developed algorithm by Baker et al. [BJ22] enables high-performance real-time object space shading, it still suffers from seam artifacts. In this paper, we introduce an innovative object space shading system leveraging a virtualized per-halfedge texturing schema to obviate excessive shading and preclude texture seam artifacts. Moreover, we implement ReSTIR GI on our system (see Figure 1), removing the necessity of temporally reprojecting shading samples and improving the convergence of areas of disocclusion. Our system yields superior results in terms of both efficiency and visual fidelity.
  • Item
    A Highly Adaptable and Flexible Rendering Engine by Minimum API Bindings
    (The Eurographics Association, 2024) Kim, Taejoon; Hu, Ruizhen; Charalambous, Panayiotis
    This paper presents a method for embedding a rendering engine into different development environments with minimal API bindings. The method separates the engine interfaces into two levels: System APIs and User APIs. System APIs are the lowlevel functions that enable communication between the engine and the user environment, while User APIs are the high-level functions that provide rendering and beyond rendering functionalities to the user. By minimizing the number of System APIs, the method simplifies the adaptation of the engine to various languages and platforms. Its applicability and flexibility are demonstrated by the successful embedding the engine in multiple environments, including C/C++, C#, Python, Javascript, and Matlab. It also demonstrates its versatility in diverse forms such as CLI renderers, Web GUI framework-based renderers, remote renderers, physical simulations, and more, while also enabling the easy adoption of other rendering algorithms to the engine.
  • Item
    A Fresnel Model for Coated Materials
    (The Eurographics Association, 2024) Vernooij, Hannes B.; Hu, Ruizhen; Charalambous, Panayiotis
    We propose a novel analytical RGB model for rendering coated conductors, which provides improved accuracy of Fresnel reflectance in BRDFs. Our model targets real-time path tracing and approximates the Fresnel reflectance curves with noticeably more accuracy than Schlick's approximation using Lazanyi's error compensation term and the external media adjustment. We propose an analytical function with coefficients fitted to measured spectral datasets describing the complex index of refraction for conductors. We utilize second-order polynomials to fit the model, subsequently compressing the fitted coefficients to optimize memory requirements while maintaining quality. Both quantitative and visual results affirm the efficacy of our model in representing the Fresnel reflectance of the tested conductors.
  • Item
    Neural Moment Transparency
    (The Eurographics Association, 2024) Tsopouridis, Grigoris; Vasilakis, Andreas Alexandros; Fudos, Ioannis; Hu, Ruizhen; Charalambous, Panayiotis
    We have developed a machine learning approach to efficiently compute per-fragment transmittance, using transmittance composed and accumulated with moment statistics, on a fragment shader. Our approach excels in achieving superior visual accuracy for computing order-independent transparency (OIT) in scenes with high depth complexity when compared to prior art.
  • Item
    A Visual Profiling System for Direct Volume Rendering
    (The Eurographics Association, 2024) Buelow, Max von; Ströter, Daniel; Rak, Arne; Fellner, Dieter W.; Hu, Ruizhen; Charalambous, Panayiotis
    Direct Volume Rendering (DVR) is a crucial technique that enables interactive exploration of results from scientific computing or computer graphics. Its applications range from virtual prototyping for product design to computer-aided diagnosis in medicine. Although there are many existing DVR optimizations, they do not provide a thorough analysis of memory-specific hardware behavior. This paper introduces a profiling toolkit that enables the extraction of performance metrics, such as cache hit rates and branching, from a compiled GPU-based DVR application. The metrics are visualized in the image domain to facilitate spatial visual analysis. This paper presents a pipeline that automatically extracts memory traces using binary instrumentation, simulates the GPU memory subsystem, and models DVR-specific functionality within it. The profiler is demonstrated using the Octree-Linear Bounding Volume Hierarchy (OLBVH), and the visualized profiling metrics are explained based on the OLBVH implementation. Our discussion demonstrates that optimizing ray traversal for adaptive sampling, cache usage, branching, and global memory access has the potential to improve performance.
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    A Generative Approach to Light Placement for Street Lighting
    (The Eurographics Association, 2024) Evangelou, Iordanis; Vitsas, Nick; Papaioannou, Georgios; Gkaravelis, Anastasios; Hu, Ruizhen; Charalambous, Panayiotis
    The design of plausible and effective street lighting configurations for arbitrary urban sites should attain predetermined illuminance levels and adhere to specific layout intentions and functional requirements. This task can be time consuming, even for automated solutions, since there exists an one-to-many mapping between illumination goals and lighting options. In this work, we propose a generative approach for this task, based on an adversarial optimisation scheme. Our proposed method effectively overcomes these task-specific limitations by providing a range of viable solutions that adhere to the input constraints and can be generated within an interactive design life cycle.
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    3D Reconstruction from Sketch with Hidden Lines by Two-Branch Diffusion Model
    (The Eurographics Association, 2024) Fukushima, Yuta; Qi, Anran; Shen, I-Chao; Gryaditskaya, Yulia; Igarashi, Takeo; Hu, Ruizhen; Charalambous, Panayiotis
    We present a method for sketch-based modelling of 3D man-made shapes that exploits not only the commonly considered visible surface lines but also the hidden lines typical for technical drawings. Hidden lines are used by artists and designers to communicate holistic shape structure. Given a single viewpoint sketch, leveraging such lines allows us to resolve the ambiguity of the shape's surfaces hidden from the observer. We assume that the separation into visible and hidden lines is given, and focus solely on how to leverage this information. Our strategy is to mingle two distinct diffusion networks: one generates denoized occupancy grid estimates from a visible line image, whilst the other generates occupancy grid estimates based on contextualized hidden lines unveiling the occluded shape structure. We iteratively merge noisy estimates from both models in a reverse diffusion process. Importantly, we demonstrate the importance of what we call a contextualized hidden lines image over just a hidden lines image. Our contextualized hidden lines image contains hidden lines and silhouette lines. Such contextualization allows us to achieve superior performance to a range of alternative configurations and reconstruct hidden holes and hidden surfaces.
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    Efficient and Accurate Multi-Instance Point Cloud Registration with Iterative Main Cluster Detection
    (The Eurographics Association, 2024) Yu, Zhiyuan; Zheng, Qin; Zhu, Chenyang; Xu, Kai; Hu, Ruizhen; Charalambous, Panayiotis
    Multi-instance point cloud registration is the problem of recovering the poses of all instances of a model point cloud in a scene point cloud. A traditional solution first extracts correspondences and then clusters the correspondences into different instances. We propose an efficient and robust method which clusters the correspondences in an iterative manner. In each iteration, our method first computes the spatial compatibility matrix between the correspondences, and detects its main cluster. The main cluster indicates a potential occurrence of an instance, and we estimate the pose of this instance with the correspondences in the main cluster. Afterwards, the correspondences are removed to further register new instances in the following iterations. With this simplistic design, our method can adaptively determine the number of instances, achieving significant improvements on both efficiency and accuracy.
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    DeepIron: Predicting Unwarped Garment Texture from a Single Image
    (The Eurographics Association, 2024) Kwon, Hyun-Song; Lee, Sung-Hee; Hu, Ruizhen; Charalambous, Panayiotis
    Realistic reconstruction of 3D clothing from an image has wide applications, such as avatar creation and virtual try-on. This paper presents a novel framework that reconstructs the texture map for 3D garments from a single garment image with pose. Since 3D garments are effectively modeled by stitching 2D garment sewing patterns, our specific goal is to generate a texture image for the sewing patterns. A key component of our framework, the Texture Unwarper, infers the original texture image from the input garment image, which exhibits warping and occlusion of the garment due to the user's body shape and pose. This is effectively achieved by translating between the input and output images by mapping the latent spaces of the two images. By inferring the unwarped original texture of the input garment, our method helps reconstruct 3D garment models that can show high-quality texture images realistically deformed for new poses. We validate the effectiveness of our approach through a comparison with other methods and ablation studies.
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    SPnet: Estimating Garment Sewing Patterns from a Single Image of a Posed User
    (The Eurographics Association, 2024) Lim, Seungchan; Kim, Sumin; Lee, Sung-Hee; Hu, Ruizhen; Charalambous, Panayiotis
    This paper presents a novel method for reconstructing 3D garment models from a single image of a posed user. Previous studies that have primarily focused on accurately reconstructing garment geometries to match the input garment image may often result in unnatural-looking garments when deformed for new poses. To overcome this limitation, our work takes a different approach by inferring the fundamental shape of the garment through sewing patterns from a single image, rather than directly reconstructing 3D garments. Our method consists of two stages. Firstly, given a single image of a posed user, it predicts the garment image worn on a T-pose, representing the baseline form of the garment. Then, it estimates the sewing pattern parameters based on the T-pose garment image. By simulating the stitching and draping of the sewing pattern using physics simulation, we can generate 3D garments that can adaptively deform to arbitrary poses. The effectiveness of our method is validated through ablation studies on the major components and a comparison with other methods.
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    EUROGRAPHICS 2024: Short Papers Frontmatter
    (Eurographics Association, 2024) Hu, Ruizhen; Charalambous, Panayiotis; Hu, Ruizhen; Charalambous, Panayiotis