Shape and Scene Understanding
Neural Semantic Surface Maps
Luca Morreale, Noam Aigerman, Vladimir G. Kim, and Niloy J. Mitra
HaLo-NeRF: Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections
Chen Dudai, Morris Alper, Hana Bezalel, Rana Hanocka, Itai Lang, and Hadar Averbuch-Elor
Raster-to-Graph: Floorplan Recognition via Autoregressive Graph Prediction with an Attention Transformer
Sizhe Hu, Wenming Wu, Ruolin Su, Wanni Hou, Liping Zheng, and Benzhu Xu
Reflectance and Shading Models
Interactive Exploration of Vivid Material Iridescence based on Bragg Mirrors
Gary Fourneau, Romain Pacanowski, and Pascal Barla
Single-Image SVBRDF Estimation with Learned Gradient Descent
Xuejiao Luo, Leonardo Scandolo, Adrien Bousseau, and Elmar Eisemann
Procedural Modeling and Architectural Design
PossibleImpossibles: Exploratory Procedural Design of Impossible Structures
Yuanbo Li, Tianyi Ma, Zaineb Aljumayaat, and Daniel Ritchie
Hierarchical Co-generation of Parcels and Streets in Urban Modeling
Zebin Chen, Peng Song, and F. Peter Ortner
Strokes2Surface: Recovering Curve Networks From 4D Architectural Design Sketches
Shervin Rasoulzadeh, Michael Wimmer, Philipp Stauss, and Iva Kovacic
Real-time Neural Rendering
TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering
Linus Franke, Darius Rückert, Laura Fink, and Marc Stamminger
Real-time Neural Rendering of Dynamic Light Fields
Arno Coomans, Edoardo Alberto Dominici, Christian Döring, Joerg H. Mueller, Jozef Hladky, and Markus Steinberger
Real-Time Neural Materials using Block-Compressed Features
Clément Weinreich, Louis De Oliveira, Antoine Houdard, and Georges Nader
Neural 3D Shape Synthesis
SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling
Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, and Raja Giryes
Physically-Based Lighting for 3D Generative Models of Cars
Nicolas Violante, Alban Gauthier, Stavros Diolatzis, Thomas Leimkühler, and George Drettakis
Rendering Natural Phenomena
Real-Time Underwater Spectral Rendering
Nestor Monzon, Diego Gutierrez, Derya Akkaynak, and Adolfo Muñoz
Physically Based Real-Time Rendering of Atmospheres using Mie Theory
Simon Schneegans, Tim Meyran, Ingo Ginkel, Gabriel Zachmann, and Andreas Gerndt
An Empirically Derived Adjustable Model for Particle Size Distributions in Advection Fog
Monika Kolárová, Loïc Lachiver, and Alexander Wilkie
Geometry Processing
BallMerge: High-quality Fast Surface Reconstruction via Voronoi Balls
Amal Dev Parakkat, Stefan Ohrhallinger, Elmar Eisemann, and Pooran Memari
Non-Euclidean Sliced Optimal Transport Sampling
Baptiste Genest, Nicolas Courty, and David Coeurjolly
GLS-PIA: n-Dimensional Spherical B-Spline Curve Fitting based on Geodesic Least Square with Adaptive Knot Placement
Yuming Zhao, Zhongke Wu, and Xingce Wang
Cloth Simulation
Estimating Cloth Simulation Parameters From Tag Information and Cusick Drape Test
Eunjung Ju, Kwang-yun Kim, Sungjin Yoon, Eungjune Shim, Gyoo-Chul Kang, Phil Sik Chang, and Myung Geol Choi
Neural Garment Dynamics via Manifold-Aware Transformers
Peizhuo Li, Tuanfeng Y. Wang, Timur Levent Kesdogan, Duygu Ceylan, and Olga Sorkine-Hornung
Practical Method to Estimate Fabric Mechanics from Metadata
Henar Dominguez-Elvira, Alicia Nicás, Gabriel Cirio, Alejandro Rodríguez, and Elena Garces
Meshes
Polygon Laplacian Made Robust
Astrid Bunge, Dennis R. Bukenberger, Sven Dominik Wagner, Marc Alexa, and Mario Botsch
Advancing Front Surface Mapping
Marco Livesu
Fluid Simulation
The Impulse Particle-In-Cell Method
Sergio Sancho, Jingwei Tang, Christopher Batty, and Vinicius C. Azevedo
Wavelet Potentials: An Efficient Potential Recovery Technique for Pointwise Incompressible Fluids
Luan Lyu, Xiaohua Ren, Wei Cao, Jian Zhu, Enhua Wu, and Zhi-Xin Yang
Monte Carlo Vortical Smoothed Particle Hydrodynamics for Simulating Turbulent Flows
Xingyu Ye, Xiaokun Wang, Yanrui Xu, Jiri Kosinka, Alexandru C. Telea, Lihua You, Jian Jun Zhang, and Jian Chang
Fabrication
Computational Smocking through Fabric-Thread Interaction
Ningfeng Zhou, Jing Ren, and Olga Sorkine-Hornung
Unfolding via Mesh Approximation using Surface Flows
Lars Zawallich and Renato Pajarola
Freeform Shape Fabrication by Kerfing Stiff Materials
Nils Speetzen and Leif Kobbelt
Simulating Natural Phenomena
Physically-based Analytical Erosion for fast Terrain Generation
Petros Tzathas, Boris Gailleton, Philippe Steer, and Guillaume Cordonnier
Volcanic Skies: Coupling Explosive Eruptions with Atmospheric Simulation to Create Consistent Skyscapes
Pieter C. Pretorius, James Gain, Maud Lastic, Guillaume Cordonnier, Jiong Chen, Damien Rohmer, and Marie-Paule Cani
Perceptual Rendering
Navigating the Manifold of Translucent Appearance
Dario Lanza, Belen Masia, and Adrian Jarabo
Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views
Hanxue Liang, Tianhao Wu, Param Hanji, Francesco Banterle, Hongyun Gao, Rafal Mantiuk, and Cengiz Öztireli
Predicting Perceived Gloss: Do Weak Labels Suffice?
Julia Guerrero-Viu, Jose Daniel Subias, Ana Serrano, Katherine R. Storrs, Roland W. Fleming, Belen Masia, and Diego Gutierrez
Digital Humans and Characters
TailorMe: Self-Supervised Learning of an Anatomically Constrained Volumetric Human Shape Model
Stephan Wenninger, Fabian Kemper, Ulrich Schwanecke, and Mario Botsch
CharacterMixer: Rig-Aware Interpolation of 3D Characters
Xiao Zhan, Rao Fu, and Daniel Ritchie
Stylize My Wrinkles: Bridging the Gap from Simulation to Reality
Sebastian Weiss, Jackson Stanhope, Prashanth Chandran, Gaspard Zoss, and Derek Bradley
Sampling and Image Enhancement
Enhancing Image Quality Prediction with Self-supervised Visual Masking
Ugur Çogalan, Mojtaba Bemana, Hans-Peter Seidel, and Karol Myszkowski
Enhancing Spatiotemporal Resampling with a Novel MIS Weight
Xingyue Pan, Jiaxuan Zhang, Jiancong Huang, and Ligang Liu
Neural Denoising for Deep-Z Monte Carlo Renderings
Xianyao Zhang, Gerhard Röthlin, Shilin Zhu, Tunç Ozan Aydin, Farnood Salehi, Markus Gross, and Marios Papas
Face Modeling and Reconstruction
Learning to Stabilize Faces
Jan Bednarik, Erroll Wood, Vassilis Choutas, Timo Bolkart, Daoye Wang, Chenglei Wu, and Thabo Beeler
3D Reconstruction and Semantic Modeling of Eyelashes
Glenn Kerbiriou, Quentin Avril, and Maud Marchal
ShellNeRF: Learning a Controllable High-resolution Model of the Eye and Periocular Region
Gengyan Li, Kripasindhu Sarkar, Abhimitra Meka, Marcel Buehler, Franziska Mueller, Paulo Gotardo, Otmar Hilliges, and Thabo Beeler
Vector Art and Line Drawings
Region-Aware Simplification and Stylization of 3D Line Drawings
Vivien Nguyen, Matthew Fisher, Aaron Hertzmann, and Szymon Rusinkiewicz
Vector Art and Line Drawings
FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications
Yuki Tatsukawa, I-Chao Shen, Anran Qi, Yuki Koyama, Takeo Igarashi, and Ariel Shamir
Sketch Video Synthesis
Yudian Zheng, Xiaodong Cun, Menghan Xia, and Chi-Man Pun
Neural Texture and Image Synthesis
Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs
Áron Samuel Kovács, Pedro Hermosilla, and Renata Georgia Raidou
GANtlitz: Ultra High Resolution Generative Model for Multi-Modal Face Textures
Aurel Gruber, Edo Collins, Abhimitra Meka, Franziska Mueller, Kripasindhu Sarkar, Sergio Orts-Escolano, Luca Prasso, Jay Busch, Markus Gross, and Thabo Beeler
Stylized Face Sketch Extraction via Generative Prior with Limited Data
Kwan Yun, Kwanggyoon Seo, Chang Wook Seo, Soyeon Yoon, Seongcheol Kim, Soohyun Ji, Amirsaman Ashtari, and Junyong Noh
Camera Paths and Motion Tracking
Cinematographic Camera Diffusion Model
Hongda Jiang, Xi Wang, Marc Christie, Libin Liu, and Baoquan Chen
OptFlowCam: A 3D-Image-Flow-Based Metric in Camera Space for Camera Paths in Scenes with Extreme Scale Variations
Lisa Piotrowski, Michael Motejat, Christian Rössl, and Holger Theisel
DivaTrack: Diverse Bodies and Motions from Acceleration-Enhanced 3-Point Trackers
Dongseok Yang, Jiho Kang, Lingni Ma, Joseph Greer, Yuting Ye, and Sung-Hee Lee

Recent Submissions

  • DivaTrack: Diverse Bodies and Motions from Acceleration-Enhanced 3-Point Trackers 

    Yang, Dongseok; Kang, Jiho; Ma, Lingni; Greer, Joseph; Ye, Yuting; Lee, Sung-Hee (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Full-body avatar presence is important for immersive social and environmental interactions in digital reality. However, current devices only provide three six degrees of freedom (DOF) poses from the headset and two controllers ...
  • OptFlowCam: A 3D-Image-Flow-Based Metric in Camera Space for Camera Paths in Scenes with Extreme Scale Variations 

    Piotrowski, Lisa; Motejat, Michael; Rössl, Christian; Theisel, Holger (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Interpolation between camera positions is a standard problem in computer graphics and can be considered the foundation of camera path planning. As the basis for a new interpolation method, we introduce a new Riemannian ...
  • Cinematographic Camera Diffusion Model 

    Jiang, Hongda; Wang, Xi; Christie, Marc; Liu, Libin; Chen, Baoquan (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Designing effective camera trajectories in virtual 3D environments is a challenging task even for experienced animators. Despite an elaborate film grammar, forged through years of experience, that enables the specification ...
  • Stylized Face Sketch Extraction via Generative Prior with Limited Data 

    Yun, Kwan; Seo, Kwanggyoon; Seo, Chang Wook; Yoon, Soyeon; Kim, Seongcheol; Ji, Soohyun; Ashtari, Amirsaman; Noh, Junyong (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Facial sketches are both a concise way of showing the identity of a person and a means to express artistic intention. While a few techniques have recently emerged that allow sketches to be extracted in different styles, ...
  • GANtlitz: Ultra High Resolution Generative Model for Multi-Modal Face Textures 

    Gruber, Aurel; Collins, Edo; Meka, Abhimitra; Mueller, Franziska; Sarkar, Kripasindhu; Orts-Escolano, Sergio; Prasso, Luca; Busch, Jay; Gross, Markus; Beeler, Thabo (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    High-resolution texture maps are essential to render photoreal digital humans for visual effects or to generate data for machine learning. The acquisition of high resolution assets at scale is cumbersome, it involves ...
  • Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs 

    Kovács, Áron Samuel; Hermosilla, Pedro; Raidou, Renata Georgia (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Mesh texture synthesis is a key component in the automatic generation of 3D content. Existing learning-based methods have drawbacks-either by disregarding the shape manifold during texture generation or by requiring a large ...
  • FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applications 

    Tatsukawa, Yuki; Shen, I-Chao; Qi, Anran; Koyama, Yuki; Igarashi, Takeo; Shamir, Ariel (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Acquiring the desired font for various design tasks can be challenging and requires professional typographic knowledge. While previous font retrieval or generation works have alleviated some of these difficulties, they ...
  • Sketch Video Synthesis 

    Zheng, Yudian; Cun, Xiaodong; Xia, Menghan; Pun, Chi-Man (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Understanding semantic intricacies and high-level concepts is essential in image sketch generation, and this challenge becomes even more formidable when applied to the domain of videos. To address this, we propose a novel ...
  • Region-Aware Simplification and Stylization of 3D Line Drawings 

    Nguyen, Vivien; Fisher, Matthew; Hertzmann, Aaron; Rusinkiewicz, Szymon (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Shape-conveying line drawings generated from 3D models normally create closed regions in image space. These lines and regions can be stylized to mimic various artistic styles, but for complex objects, the extracted topology ...
  • ShellNeRF: Learning a Controllable High-resolution Model of the Eye and Periocular Region 

    Li, Gengyan; Sarkar, Kripasindhu; Meka, Abhimitra; Buehler, Marcel; Mueller, Franziska; Gotardo, Paulo; Hilliges, Otmar; Beeler, Thabo (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Eye gaze and expressions are crucial non-verbal signals in face-to-face communication. Visual effects and telepresence demand significant improvements in personalized tracking, animation, and synthesis of the eye region ...
  • 3D Reconstruction and Semantic Modeling of Eyelashes 

    Kerbiriou, Glenn; Avril, Quentin; Marchal, Maud (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    High-fidelity digital human modeling has become crucial in various applications, including gaming, visual effects and virtual reality. Despite the significant impact of eyelashes on facial aesthetics, their reconstruction ...
  • Learning to Stabilize Faces 

    Bednarik, Jan; Wood, Erroll; Choutas, Vassilis; Bolkart, Timo; Wang, Daoye; Wu, Chenglei; Beeler, Thabo (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Nowadays, it is possible to scan faces and automatically register them with high quality. However, the resulting face meshes often need further processing: we need to stabilize them to remove unwanted head movement. ...
  • Neural Denoising for Deep-Z Monte Carlo Renderings 

    Zhang, Xianyao; Röthlin, Gerhard; Zhu, Shilin; Aydin, Tunç Ozan; Salehi, Farnood; Gross, Markus; Papas, Marios (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    We present a kernel-predicting neural denoising method for path-traced deep-Z images that facilitates their usage in animation and visual effects production. Deep-Z images provide enhanced flexibility during compositing ...
  • Enhancing Spatiotemporal Resampling with a Novel MIS Weight 

    Pan, Xingyue; Zhang, Jiaxuan; Huang, Jiancong; Liu, Ligang (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    In real-time rendering, optimizing the sampling of large-scale candidates is crucial. The spatiotemporal reservoir resampling (ReSTIR) method provides an effective approach for handling large candidate samples, while the ...
  • Enhancing Image Quality Prediction with Self-supervised Visual Masking 

    Çogalan, Ugur; Bemana, Mojtaba; Seidel, Hans-Peter; Myszkowski, Karol (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Full-reference image quality metrics (FR-IQMs) aim to measure the visual differences between a pair of reference and distorted images, with the goal of accurately predicting human judgments. However, existing FR-IQMs, ...
  • Stylize My Wrinkles: Bridging the Gap from Simulation to Reality 

    Weiss, Sebastian; Stanhope, Jackson; Chandran, Prashanth; Zoss, Gaspard; Bradley, Derek (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Modeling realistic human skin with pores and wrinkles down to the milli- and micrometer resolution is a challenging task. Prior work showed that such micro geometry can be efficiently generated through simulation methods, ...
  • CharacterMixer: Rig-Aware Interpolation of 3D Characters 

    Zhan, Xiao; Fu, Rao; Ritchie, Daniel (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    We present CharacterMixer, a system for blending two rigged 3D characters with different mesh and skeleton topologies while maintaining a rig throughout interpolation. CharacterMixer also enables interpolation during motion ...
  • TailorMe: Self-Supervised Learning of an Anatomically Constrained Volumetric Human Shape Model 

    Wenninger, Stephan; Kemper, Fabian; Schwanecke, Ulrich; Botsch, Mario (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Human shape spaces have been extensively studied, as they are a core element of human shape and pose inference tasks. Classic methods for creating a human shape model register a surface template mesh to a database of 3D ...
  • Predicting Perceived Gloss: Do Weak Labels Suffice? 

    Guerrero-Viu, Julia; Subias, Jose Daniel; Serrano, Ana; Storrs, Katherine R.; Fleming, Roland W.; Masia, Belen; Gutierrez, Diego (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Estimating perceptual attributes of materials directly from images is a challenging task due to their complex, not fullyunderstood interactions with external factors, such as geometry and lighting. Supervised deep learning ...
  • Perceptual Quality Assessment of NeRF and Neural View Synthesis Methods for Front-Facing Views 

    Liang, Hanxue; Wu, Tianhao; Hanji, Param; Banterle, Francesco; Gao, Hongyun; Mantiuk, Rafal; Öztireli, Cengiz (The Eurographics Association and John Wiley & Sons Ltd., 2024)
    Neural view synthesis (NVS) is one of the most successful techniques for synthesizing free viewpoint videos, capable of achieving high fidelity from only a sparse set of captured images. This success has led to many variants ...

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